Gadolinium Intermediate Elimination and Persistent Symptoms After Magnetic Resonance Imaging Contrast Agent Exposure

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Gadolinium Intermediate Elimination and Persistent Symptoms After Magnetic Resonance Imaging Contrast Agent Exposure

Magnetic resonance image (MRI) contrast agents can induce profound complications, including gadolinium encephalopathy, kidney injury, gadolinium-associated plaques, and progressive systemic fibrosis, which can be fatal.1-10 About 50% of MRIs use gadolinium-based contrast (Gd3+), a toxic rare earth metal ion that enhances imaging but requires binding with pharmaceutical ligands to reduce toxicity and promote renal elimination (Figure 1). Despite these measures, Gd3+ can persist in the body, including the brain.11,12 Wastewater treatment fails to remove these agents, making Gd3+ a growing pollutant in water and the food chain.13-15 Because Gd3+ is a rare earth metal ion in the milieu intérieur, there is an urgent need to study its biological and long-term effects (Appendix 1). 

Case Presentation

A 65-year-old Vietnam-era veteran presented to nephrology at the Raymond G. Murphy Veterans Affairs Medical Center (RGMVAMC) in Albuquerque, New Mexico, for evaluation of gadolinium-induced symptoms. His medical history included metabolic syndrome, hypertension, hyperlipidemia, hypogonadism, cervical spondylosis, and an elevated prostate-specific antigen, previously assessed with a contrast-enhanced MRI in 2019 (Gadobenic acid, 19 mL). Surgical history included cervical fusion and ankle hardware.

The patient had a scheduled MRI 25 days earlier, following an elevated prostate specific antigen test result, prompting urologic surveillance and concern for malignancy. In preparation for the contrast-enhanced MRI, his right arm was cannulated with a line primed with gadobenic acid contrast. Though the technician stated the infusion had not started, the patient’s symptoms began shortly after entry into the scanner, before any programmed pulse sequences. The patient experienced claustrophobia, diaphoresis, palpitations, xerostomia, dysgeusia, shortness of breath, and a sensation of heat in his groin, chest, “kidneys,” and lower back. The MRI was terminated prematurely in response to the patient’s acute symptomatology. The patient continued experiencing new symptoms intermittently during the following week, including lightheadedness, headaches, right clavicular pain, raspy voice, edema, and a sense of doom.

FIGURE 1. Magnetic resonance imaging contrast agents are polyaminocarboxylic acid ligands engineered to tightly chelate gadolinium, a toxic rare earth metal, and facilitate its elimination. Source: Brent Wagner, reprinted with permission
FIGURE 1. Magnetic resonance imaging contrast agents are polyaminocarboxylic acid ligands engineered to tightly chelate gadolinium, a toxic rare earth metal, and facilitate its elimination. Source: Brent Wagner, reprinted with permission
TABLE 1. Laboratory Results

The patient presented to the RGMVAMC emergency department (ED) 8 days after the MRI with worsening symptoms and was hospitalized for 10 days. During this time, he was referred to nephrology for outpatient evaluation. While awaiting his nephrology appointment, the patient presented to the RGMVAMC ED 20 days after the initial episode with ongoing symptoms. “I thought I was dying,” he said. Laboratory results and a 12-lead electrocardiogram showed a finely static background, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in V1, R transition in V2, RR’ in V2, ST flat in lead III, and sinus bradycardia (Table 1 and Appendix 2).

The patient’s medical and surgical histories were reviewed at the nephrology evaluation 25 days following the MRI. He reported that household water was sourced from a well and that he filtered his drinking water with a reverse osmosis system. He served in the US Army for 10 years as an engineer specializing in mechanical systems, power generation, and vehicles. Following Army retirement, the patient served in the US Air Force Reserves for 15 years, working as a crew chief in pneudraulics. The patient reported stopping tobacco use 1 year before and also reported regular use of a broad array of prescription medications and dietary supplements, including dexamethasone (4 mg twice daily), fluticasone nasal spray (50 mcg per nostril, twice daily), ibuprofen (400 mg twice daily, as needed), loratadine (10 mg daily), aspirin (81 mg daily), and metoprolol succinate (50 mg nightly). In addition, he reported consistent use of cholecalciferol (3000 IU daily), another supplemental vitamin D preparation, chelated magnesium glycinate (3 tablets daily for bone issues), turmeric (1 tablet daily), a multivitamin (Living Green Liquid Gel, daily), and a mega-B complex.

Physical examination revealed a well-nourished, tall man with hypertension (145/87 mmHg) and bilateral lower extremity edema. Oral examination showed poor dentition, including missing molars (#1-3, #14-16, #17-19, #30-31), with the anterior teeth replaced by bridges supported by dental implants. The review of systems was otherwise unremarkable, with nocturia noted before the consultation.

TABLE 2. Cursory Urinary Laboratory Results 4 Months After Gadolinium Exposure

Serum and urine gadolinium testing, (Mayo Clinic Laboratories) revealed gadolinium levels of 0.3 mcg/24 h in the urine and 0.1 ng/mL in the serum. Nonzero values indicated detectable gadolinium, suggesting retention. The patient had a prior gadolinium exposure during a 2019 MRI (about 1340 days before) and suspected a repeat exposure on day 0, although the MRI technician stated that no contrast was administered. Given his elevated vitamin D levels, the patient was advised to minimize dietary supplements, particularly vitamin D, to avoid confounding symptoms. The plan included monitoring symptoms and a follow-up evaluation with repeat laboratory tests on day 116.

At the nephrology follow-up 4 months postexposure, the patient's symptoms had primarily abated, with a marked reduction in the previously noted metallic dysgeusia. Physical examination remained consistent with prior findings. He was afebrile (97.7 °F) with a blood pressure of 111/72 mmHg, a pulse of 63 beats per minute, and an oxygen saturation of 98% on ambient air. Laboratory analysis revealed serum and urine gadolinium levels below detectable thresholds (< 0.1 ng/mL and < 0.1 mcg/24 h). A 24-hour creatinine clearance, calculated from a urine volume of 1300 mL, measured at an optimal 106 mL/min, indicating preserved renal function (Tables 2 and 3). Of note, his 24-hour oxalate was above the reference range, with a urine pH below the reference range and a high supersaturation index for calcium oxalate.

Discussion

Use of enhanced MRI has increased in the Veterans Health Administration (Figure 2). A growing range of indications for enhanced procedures (eg, cardiac MRI) has contributed to this rise. The market has grown with new gadolinium-based contrast agents, such as gadopiclenol. However, reliance on untested assumptions about the safety of newer agents and need for robust clinical trials pose potential risks to patient safety.

Without prospective evidence, the American College of Radiology (ACR) classifies gadolinium-based contrast agents into 3 groups: Group 1, associated with the highest number of nephrogenic systemic fibrosis cases; Group 2, linked to few, if any, unconfounded cases; and Group 3, where data on nephrogenic systemic fibrosis risk have been limited. As of April 2024, the ACR reclassified Group 3 agents (Ablavar/Vasovist/Angiomark and Primovist/Eovist) into Group 2. Curiously, Vueway and Elucirem were approved in late 2022 and should clearly be categorized as Group 3 (Table 4).There were 19 cases of nephrogenic systemic fibrosis or similar manifestations, 8 of which were unconfounded by other factors. These patients had been exposed to gadobutrol, often combined with other agents. Gadobutrol—like other Group 2 agents—has been associated with nephrogenic systemic fibrosis.16,17 Despite US Food and Drug Administration (FDA) documentation of rising reports, many clinicians remain unaware that nephrogenic systemic fibrosis is increasingly linked to Group 2 agents classified by the ACR.18 While declines in reported cases of nephrogenic systemic fibrosis may suggest reduced incidence, this trend may reflect diminished clinical vigilance and underreporting, particularly given emerging evidence implicating even Group 2 gadolinium-based contrast agents in delayed and underrecognized presentations. This information has yet to permeate the medical community, particularly among nephrologists. Considering these cases, revisiting the ACR guidelines may be prudent. 

TABLE 3. Patient UroRisk Profile

To address this growing concern, clinicians must adopt stricter vigilance and actively pursue updated information to mitigate patient risks tied to these contrast agents. 

There exists an illusion of knowledge in disregarding the confounded exposures of MRI contrast agents. Ten distinct brands of contrast agents have been approved for clinical use. With repeated imaging, patients are often exposed to varying formulations of gadolinium-based agents. Yet investigators commonly discard these data points when assessing risk. By doing so, they assume—without evidence—that some formulations are inherently less likely to provoke adverse effects (AEs) than others. This untested presumption becomes perilous, especially given the limited understanding of the mechanisms underlying gadolinium-induced pathologies. As Aldous Huxley warned, “Facts do not cease to exist because they are ignored.”19

Gadolinium Persistence

Contrary to expectations, gadolinium persists in the body far longer than initially presumed. Symptoms associated with gadolinium exposure (SAGE) encapsulate the chronic, often enigmatic maladies tied to MRI contrast agents.20 The prolonged retention of this rare earth metal offers a compelling hypothesis for the etiology of SAGE. It has been hypothesized that Lewis base-rich metabolites increase susceptibility to gadolinium-based contrast agent complications.21

The blood and urine concentration elimination curves of gadolinium are exponential and categorized as fast, intermediate, and long-term.1 For urinary elimination, the function of the curves is exponential. The quantity of gadolinium in the urine at a time (t) after exposure (D[Gd](t)) is equal to the product of the amount of gadolinium in the sample (urine or blood) at the end of the fast elimination period (D[Gd](t0)) and the exponential decay with k being a rate constant.

To the authors’ knowledge, we are the only research team currently investigating the rate constant for the intermediate- and long-term phase gadolinium elimination. The Retention and Toxicity of Gadolinium-based Contrast Agents study was approved by the University of New Mexico Health Sciences Center Institutional Review Board on May 27, 2020 (IRB ID 19-660). The data for the patient in this case were compared with preliminary results for patients with exposure-to-measurement intervals < 100 days. 

The patient in this case presented with detectable gadolinium levels in urine and serum shortly after an attempted contrast-enhanced MRI procedure (Figure 3). The presence of detectable gadolinium levels in the patient’s urine and serum suggests a likely exposure to a contrast agent about 27 days before his consultation. While the technician reported that no contrast was administered during the attempted MRI, it remains possible that a small amount was introduced during cannulation, potentially triggering the patient’s symptoms. Linear modeling of semilogarithmic plots for participants exposed to contrast agents within 100 days (urine: P = 1.8 × 10ˉ8, adjusted = 0.62; blood: P = .005, adjusted = 0.21) provided clearance rates (k values) for urine and blood. Extrapolating from these models to the presumed exposure date, the intercepts estimate that the patient received between 0.5% and 8% of a standard contrast dose.

TABLE 4. ACR Reported MRI Adverse Events by Group

MRI contrast agents can cause skin disease. Systemic fibrosis is considered one of the most severe AEs. Skin pathophysiology involving myeloid cells is driven by elevated levels of monocyte chemoattractant protein-1, which recruits circulating fibroblasts via the C-C chemokine receptor 2.22,23 This occurs alongside activation of NADPH oxidase Nox4.4,24,25 Intracellular gadolinium-rich nanoparticles likely serve as catalysts for this reactive cascade.2,18,22,26,27 These particles assemble around intracellular lipid droplets and ferrule them in spiculated rare earth-rich shells that compromise cellular architecture.2,18,21,22,26,27 Frequently sequestered within endosomal compartments, they disrupt vesicular integrity and threaten cellular homeostasis. Interference with degradative systems such as the endolysosomal axis perturbs energy-recycling pathways—an insidious disturbance, particularly in cells with high metabolic demand. Skin-related symptoms are among the most frequently reported AEs, according to the FDA AE reporting system.18 

Studies indicate repeated exposure to MRI contrast agents can lead to permanent gadolinium retention in the brain and other vital organs. Intravenous (IV) contrast agents cross the blood-brain barrier rapidly, while intrathecal administration has been linked to significant and lasting neurologic effects.18 

Gadolinium is chemically bound to pharmaceutical ligands to enhance renal clearance and reduce toxicity. However, available data from human samples suggest potential ligand exchanges with undefined physiologic substances. This exchange may facilitate gadolinium precipitation and accumulation within cells into spiculated nanoparticles. Transmission electron microscopy reveals the formation of unilamellar bodies associated with mitochondriopathy and cellular damage, particularly in renal proximal tubules.2,18,22,26,27 It is proposed that intracellular nanoparticle formation represents a key mechanism driving the systemic symptoms observed in patients.1,2,18, 22,26,27 

Any hypothesis based on free soluble gadolinium—or concept derived from it—should be discarded. The high affinity of pharmaceutical ligands for gadolinium suggests that the cationic rare earth metal remains predominantly in a ligand-bound, soluble form. It is hypothesized that gadolinium undergoes ligand exchange with physiologic substances, directly leading to nanoparticle formation. Current data demonstrate gadolinium precipitation according to the Le Chatelier’s principle. Since precipitated gadolinium does not readily re-equilibrate with pharmaceutical ligands, repeated administration of different contrast agent brands may contribute to nanoparticle growth.26

Meanwhile, a growing number of patients are turning to chelation therapy, a largely untested treatment. The premise of chelation therapy is rooted in several unproven assumptions.18,21 First, it assumes that clinically significant amounts of gadolinium persist in compartments such as the extracellular space, where they can be effectively chelated and cleared. Second, it presumes that free gadolinium is the primary driver of chronic symptoms, an assertion that remains scientifically unsubstantiated. Finally, chelation proponents overlook the potential harm caused by depleting essential physiological metals during the process, assuming without evidence that the scant removal of gadolinium outweighs the risk of physiological mineral depletion. 

FIGURE 2. Rising use of gadolinium-enhanced MRI in VA facilities. A, a cohort of 939,928 unique VA patients, each undergoing ≥ 1 contrast-enhanced MRI procedure. The mean (SD) number of procedures per patient was 2.6 (2.8). Exposure to gadolinium after a single procedure correlates with an increased likelihood of future exposures. B, for 494,926 patients with ≥ 2 contrast-enhanced procedures, the mean (SD) number of exposures rises to 4.0 (3.3). This pattern suggests that an initial exposure is a risk factor for subsequent exposures, highlighting a form of conditional probability that merits further analysis. C, cumulative count of individuals with contrast-enhanced MRIs over time. The cohort (October 1, 1999, to October 20, 2024) included 2,403,709 unique individuals. Cumulative contrast agent exposures ranged from 0 to 87 (median, 2; mean, 3.34). D, cumulative count of individuals with contrast-enhanced MRI procedures relative to days from first exposure. Time from first to last exposure ranged from 0 days (for single exposures) to 9143 days (median, 309; mean, 1212). Repeated gadolinium exposures are common. Abbreviations: MRI, magnetic resonance imaging; VA, US Department of Veterans Affairs
FIGURE 2. Rising use of gadolinium-enhanced MRI in VA facilities. A, a cohort of 939,928 unique VA patients, each undergoing ≥ 1 contrast-enhanced MRI procedure. The mean (SD) number of procedures per patient was 2.6 (2.8). Exposure to gadolinium after a single procedure correlates with an increased likelihood of future exposures. B, for 494,926 patients with ≥ 2 contrast-enhanced procedures, the mean (SD) number of exposures rises to 4.0 (3.3). This pattern suggests that an initial exposure is a risk factor for subsequent exposures, highlighting a form of conditional probability that merits further analysis. C, cumulative count of individuals with contrast-enhanced MRIs over time. The cohort (October 1, 1999, to October 20, 2024) included 2,403,709 unique individuals. Cumulative contrast agent exposures ranged from 0 to 87 (median, 2; mean, 3.34). D, cumulative count of individuals with contrast-enhanced MRI procedures relative to days from first exposure. Time from first to last exposure ranged from 0 days (for single exposures) to 9143 days (median, 309; mean, 1212). Repeated gadolinium exposures are common. Abbreviations: MRI, magnetic resonance imaging; VA, US Department of Veterans Affairs

These assumptions underpin an unproven remedy that demands critical scrutiny. Recent findings reveal that gadolinium deposits in the skin and kidney often take the form of intracellular nanoparticles, directly challenging the foundation of chelation therapy. Chelation advocates must demonstrate that these intracellular gadolinium deposits neither trigger cellular toxicity nor initiate a cytokine cascade. Chelation supporters must prove that the systemic response to these foreign particles is unrelated to the symptoms reported by patients. Until then, the validity of chelation therapy remains highly questionable.

The causality of the symptoms, mainly whether IV gadolinium was administered, was examined. The null hypothesis stated that the patient was not exposed to gadolinium. However, this hypothesis was contradicted by the detection of gadolinium in the serum and urine 27 days after the potential exposure. 

Two plausible explanations exist for the nonzero gadolinium levels detected in the serum and urine. The first possibility is that minute quantities of gadolinium were introduced during cannulation, with the amount being sufficient to persist in measurable concentrations 27 days postexposure. The second possibility is that the gadolinium originated from an MRI contrast agent administered 4 years earlier. In this scenario, gadolinium stored in organ reservoirs such as bone, liver, or kidneys may have been mobilized into the extracellular fluid compartment due to the administration of high-dose steroids 20 days after the recent contrast-enhanced MRI procedure attempt. Coyte et al reported elevated gadolinium levels in the serum, cord blood, breast milk, and placenta of pregnant women with prior exposure to MRI contrast agents.28 These findings suggest that gadolinium, stored in organs such as bone may be remobilized by variables affecting bone remodeling (eg, high-dose steroids). 

Significantly, the patient exhibited elevated urinary oxalate levels. Previous research has found that oxalic acid reacts rapidly with MRI contrast agents, forming digadolinium trioxalate. While the gadolinium-rich nanoparticles identified in tissues such as the skin and kidney (including the human kidney) are amorphous, these in vitro findings establish a proof-of-concept: the intracellular environment facilitates gadolinium dissociation from pharmaceutical chelates. 

FIGURE 3. Estimate gadolinium exposure using back-extrapolation based on serum (A) and urine (B) gadolinium levels. This analysis derives from data collected under an institutional review board-approved protocol (#19-660). By measuring gadolinium concentrations in blood and urine 27 days postexposure, we calculated rate constants (k) for first-order elimination using Equation (1). Assuming standard, prescription label-recommended doses of gadolinium-based contrast agents, the extrapolated x-intercept suggests the patient experienced exposure to 0.5% to 8.0% of the standard magnetic resonance imaging contrast agent dose.
FIGURE 3. Estimate gadolinium exposure using back-extrapolation based on serum (A) and urine (B) gadolinium levels. This analysis derives from data collected under an institutional review board-approved protocol (#19-660). By measuring gadolinium concentrations in blood and urine 27 days postexposure, we calculated rate constants (k) for first-order elimination using Equation (1). Assuming standard, prescription label-recommended doses of gadolinium-based contrast agents, the extrapolated x-intercept suggests the patient experienced exposure to 0.5% to 8.0% of the standard magnetic resonance imaging contrast agent dose.

Furthermore, in vitro experiments show that proteins and lysosomal pH promote this dissociation, underscoring how human metabolic conditions—particularly oxalic acid concentration—may drive intracellular gadolinium deposition.

Patient Perspective

“They put something into my body that they cannot get out.” This stark realization underpins the patient’s profound concern about gadolinium-based contrast agents and their potential long-term effects. Reflecting on his experience, the patient expressed deep fears about the unknown future impacts: “I’m concerned about my kidneys, I’m concerned about my heart, and I’m concerned about my brain. I don’t know how this stuff is going to affect me in the future.”

He drew an unsettling parallel between gadolinium and heavy metals: “Heavy metal is poison. The body does not produce this kind of stuff on its own.” His reaction to the procedure left a lasting impression, prompting him to question the logic of using a substance that cannot be purged: “Why would you put something into someone’s body that you cannot extract? Nobody—nobody—should experience what I went through.”

The patient emphasized the lack of clear research on long-term outcomes, which compounds his anxiety: “If there was research that said, ‘Well, this is only going to affect these organs for this long,’ OK, I might be able to accept that. But there is no research like that. Nobody can tell me what’s going to happen in 5 years.”

Strengths and Limitations

A significant strength of this approach is the ability to track gadolinium elimination and symptom resolution over time, supported by unique access to intermediate and long-term clearance data from our ongoing research protocol. The investigators were equipped to back-extrapolate the exposure, which provided a rare opportunity to correlate gadolinium levels with clinical outcomes. The primary limitation is the lack of a defined clinical case definition for gadolinium toxicity and limited mechanistic understanding of SAGE, which hinders diagnosis and management.

Metabolites, proteins, and lipids rich in Lewis bases could initiate this process as substrates for intracellular gadolinium sedimentation. Future studies should investigate whether metabolic conditions such as oxalate burden or altered parathyroid hormone levels modulate gadolinium compartmentalization and tissue retention. If gadolinium-rich nanoparticle formation and accumulation disrupt cellular equilibrium, it underscores an urgent need to understand the implications of long-term gadolinium retention. The research team continues to gather evidence that the gadolinium cation remains chelated from the moment MRI contrast agents are administered through to the formation of intracellular nanoparticles. Retained gadolinium nanoparticles may act as a nidus, triggering cellular signaling cascades that lead to multisymptomatic illnesses. Intracellular and insoluble retained gadolinium challenges proponents of untested chelation therapies.

Conclusions

This case highlights emerging clinical and ethical concerns surrounding gadolinium-based contrast agent use. Clinicians may benefit from considering gadolinium retention as a contributor to persistent, unexplained symptoms—particularly in patients with recent imaging exposure. As contrast use continues to rise within federal health systems, regulatory and administrative stakeholders would do well to re-examine current safety frameworks. Informed consent should reflect what is known: gadolinium can remain in the body long after administration, potentially indefinitely. The long-term consequences of cumulative exposure remain poorly defined, but the presence of a lanthanide element in human tissue warrants greater attention from researchers and regulators alike. Interest in alternative imaging modalities and long-term safety monitoring would mark progress toward more transparent, accountable care.

APPENDIX 1. The periodic table of physiologic elements excludes rare earth metals, such as gadolinium. The f-block elements, including gadolinium, are named for their partially filled f-electron orbitals. The electronic configuration of cationic gadolinium (Gd³+) is 1s² 2s² 2p6 3s² 3p6  4s² 3d10 4p6 5s² 4d10 5p6 4f7, while the configuration of anionic iodine (I+), the physiologic element with the highest atomic number, is 1s² 2s² 2p6  3s² 3p6 3d10 4s² 4p6 4d10 5s² 5p5. The unpaired electrons in the f-orbitals of gadolinium confer its distinct chemical, electromagnetic, and optical properties. These properties arise from the electron orbital configuration, which governs the behavior of all elements. Mammals do not naturally incorporate rare earth metals, including gadolinium, into the usual physiologic milieu.
APPENDIX 1. The periodic table of physiologic elements excludes rare earth metals, such as gadolinium. The f-block elements, including gadolinium, are named for their partially filled f-electron orbitals. The electronic configuration of cationic gadolinium (Gd³+) is 1s² 2s² 2p6 3s² 3p6  4s² 3d10 4p6 5s² 4d10 5p6 4f7, while the configuration of anionic iodine (I+), the physiologic element with the highest atomic number, is 1s² 2s² 2p6  3s² 3p6 3d10 4s² 4p6 4d10 5s² 5p5. The unpaired electrons in the f-orbitals of gadolinium confer its distinct chemical, electromagnetic, and optical properties. These properties arise from the electron orbital configuration, which governs the behavior of all elements. Mammals do not naturally incorporate rare earth metals, including gadolinium, into the usual physiologic milieu.
APPENDIX 2. Electrocardiogram showing a finely static background consistent with the electric hospital stretcher artifact. Key findings include sinus bradycardia, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in lead V1, an R transition in lead V2, an RR’ pattern in lead V2, and flat ST segments in lead III.
APPENDIX 2. Electrocardiogram showing a finely static background consistent with the electric hospital stretcher artifact. Key findings include sinus bradycardia, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in lead V1, an R transition in lead V2, an RR’ pattern in lead V2, and flat ST segments in lead III.
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Author and Disclosure Information

Correspondence: Brent Wagner (brent.wagner@va.gov) 

Fed Pract. 2025;42(11):e0631. Published online November 25. doi:10.12788/fp.0631

Acknowledgments

The authors thank the research participants of Study 19-660, Retention & Toxicity of Gadolinium-based Contrast Agents, whose invaluable contributions propel scientific discovery, and the generosity of donors to the Kidney Institute of New Mexico, whose support fuels research and amplifies scholarly voice.

Author affiliations

aUniversity of New Mexico, Albuquerque
bNew Mexico Veterans Affairs Health Care System, Albuquerque

cKidney Institute of New Mexico, Albuquerque
dNew Mexico Institute of Mining and Technology, Socorro

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. 

Ethics and consent

This case report complies with the ethical principles outlined in the World Medical Association Declaration of Helsinki. The patient provided verbal consent for the publication of the clinical details and any accompanying images. Specific dates were obscured and identifiers removed to protect patient identity. The University of New Mexico Health Sciences Center Institutional Review Board (IRB) approved a related project (Retention & Toxicity of Gadolinium-based Contrast Agents, IRB# 19-660). Data from this study were referenced for Figure 5. The authors obtained data under a second IRB-approved protocol (Incidence and Prevalence of Gadolinium-Based Contrast Agent Use in VA Facilities; IRB# 1576476). This protocol operated as a subsidiary of the data repository protocol, Gadolinium-Based Contrast Agent Use in VA Facilities (IRB# 1576574) at the New Mexico VA Health Care System. These data are in Figure 4. 

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Correspondence: Brent Wagner (brent.wagner@va.gov) 

Fed Pract. 2025;42(11):e0631. Published online November 25. doi:10.12788/fp.0631

Acknowledgments

The authors thank the research participants of Study 19-660, Retention & Toxicity of Gadolinium-based Contrast Agents, whose invaluable contributions propel scientific discovery, and the generosity of donors to the Kidney Institute of New Mexico, whose support fuels research and amplifies scholarly voice.

Author affiliations

aUniversity of New Mexico, Albuquerque
bNew Mexico Veterans Affairs Health Care System, Albuquerque

cKidney Institute of New Mexico, Albuquerque
dNew Mexico Institute of Mining and Technology, Socorro

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. 

Ethics and consent

This case report complies with the ethical principles outlined in the World Medical Association Declaration of Helsinki. The patient provided verbal consent for the publication of the clinical details and any accompanying images. Specific dates were obscured and identifiers removed to protect patient identity. The University of New Mexico Health Sciences Center Institutional Review Board (IRB) approved a related project (Retention & Toxicity of Gadolinium-based Contrast Agents, IRB# 19-660). Data from this study were referenced for Figure 5. The authors obtained data under a second IRB-approved protocol (Incidence and Prevalence of Gadolinium-Based Contrast Agent Use in VA Facilities; IRB# 1576476). This protocol operated as a subsidiary of the data repository protocol, Gadolinium-Based Contrast Agent Use in VA Facilities (IRB# 1576574) at the New Mexico VA Health Care System. These data are in Figure 4. 

Author and Disclosure Information

Correspondence: Brent Wagner (brent.wagner@va.gov) 

Fed Pract. 2025;42(11):e0631. Published online November 25. doi:10.12788/fp.0631

Acknowledgments

The authors thank the research participants of Study 19-660, Retention & Toxicity of Gadolinium-based Contrast Agents, whose invaluable contributions propel scientific discovery, and the generosity of donors to the Kidney Institute of New Mexico, whose support fuels research and amplifies scholarly voice.

Author affiliations

aUniversity of New Mexico, Albuquerque
bNew Mexico Veterans Affairs Health Care System, Albuquerque

cKidney Institute of New Mexico, Albuquerque
dNew Mexico Institute of Mining and Technology, Socorro

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. 

Ethics and consent

This case report complies with the ethical principles outlined in the World Medical Association Declaration of Helsinki. The patient provided verbal consent for the publication of the clinical details and any accompanying images. Specific dates were obscured and identifiers removed to protect patient identity. The University of New Mexico Health Sciences Center Institutional Review Board (IRB) approved a related project (Retention & Toxicity of Gadolinium-based Contrast Agents, IRB# 19-660). Data from this study were referenced for Figure 5. The authors obtained data under a second IRB-approved protocol (Incidence and Prevalence of Gadolinium-Based Contrast Agent Use in VA Facilities; IRB# 1576476). This protocol operated as a subsidiary of the data repository protocol, Gadolinium-Based Contrast Agent Use in VA Facilities (IRB# 1576574) at the New Mexico VA Health Care System. These data are in Figure 4. 

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Magnetic resonance image (MRI) contrast agents can induce profound complications, including gadolinium encephalopathy, kidney injury, gadolinium-associated plaques, and progressive systemic fibrosis, which can be fatal.1-10 About 50% of MRIs use gadolinium-based contrast (Gd3+), a toxic rare earth metal ion that enhances imaging but requires binding with pharmaceutical ligands to reduce toxicity and promote renal elimination (Figure 1). Despite these measures, Gd3+ can persist in the body, including the brain.11,12 Wastewater treatment fails to remove these agents, making Gd3+ a growing pollutant in water and the food chain.13-15 Because Gd3+ is a rare earth metal ion in the milieu intérieur, there is an urgent need to study its biological and long-term effects (Appendix 1). 

Case Presentation

A 65-year-old Vietnam-era veteran presented to nephrology at the Raymond G. Murphy Veterans Affairs Medical Center (RGMVAMC) in Albuquerque, New Mexico, for evaluation of gadolinium-induced symptoms. His medical history included metabolic syndrome, hypertension, hyperlipidemia, hypogonadism, cervical spondylosis, and an elevated prostate-specific antigen, previously assessed with a contrast-enhanced MRI in 2019 (Gadobenic acid, 19 mL). Surgical history included cervical fusion and ankle hardware.

The patient had a scheduled MRI 25 days earlier, following an elevated prostate specific antigen test result, prompting urologic surveillance and concern for malignancy. In preparation for the contrast-enhanced MRI, his right arm was cannulated with a line primed with gadobenic acid contrast. Though the technician stated the infusion had not started, the patient’s symptoms began shortly after entry into the scanner, before any programmed pulse sequences. The patient experienced claustrophobia, diaphoresis, palpitations, xerostomia, dysgeusia, shortness of breath, and a sensation of heat in his groin, chest, “kidneys,” and lower back. The MRI was terminated prematurely in response to the patient’s acute symptomatology. The patient continued experiencing new symptoms intermittently during the following week, including lightheadedness, headaches, right clavicular pain, raspy voice, edema, and a sense of doom.

FIGURE 1. Magnetic resonance imaging contrast agents are polyaminocarboxylic acid ligands engineered to tightly chelate gadolinium, a toxic rare earth metal, and facilitate its elimination. Source: Brent Wagner, reprinted with permission
FIGURE 1. Magnetic resonance imaging contrast agents are polyaminocarboxylic acid ligands engineered to tightly chelate gadolinium, a toxic rare earth metal, and facilitate its elimination. Source: Brent Wagner, reprinted with permission
TABLE 1. Laboratory Results

The patient presented to the RGMVAMC emergency department (ED) 8 days after the MRI with worsening symptoms and was hospitalized for 10 days. During this time, he was referred to nephrology for outpatient evaluation. While awaiting his nephrology appointment, the patient presented to the RGMVAMC ED 20 days after the initial episode with ongoing symptoms. “I thought I was dying,” he said. Laboratory results and a 12-lead electrocardiogram showed a finely static background, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in V1, R transition in V2, RR’ in V2, ST flat in lead III, and sinus bradycardia (Table 1 and Appendix 2).

The patient’s medical and surgical histories were reviewed at the nephrology evaluation 25 days following the MRI. He reported that household water was sourced from a well and that he filtered his drinking water with a reverse osmosis system. He served in the US Army for 10 years as an engineer specializing in mechanical systems, power generation, and vehicles. Following Army retirement, the patient served in the US Air Force Reserves for 15 years, working as a crew chief in pneudraulics. The patient reported stopping tobacco use 1 year before and also reported regular use of a broad array of prescription medications and dietary supplements, including dexamethasone (4 mg twice daily), fluticasone nasal spray (50 mcg per nostril, twice daily), ibuprofen (400 mg twice daily, as needed), loratadine (10 mg daily), aspirin (81 mg daily), and metoprolol succinate (50 mg nightly). In addition, he reported consistent use of cholecalciferol (3000 IU daily), another supplemental vitamin D preparation, chelated magnesium glycinate (3 tablets daily for bone issues), turmeric (1 tablet daily), a multivitamin (Living Green Liquid Gel, daily), and a mega-B complex.

Physical examination revealed a well-nourished, tall man with hypertension (145/87 mmHg) and bilateral lower extremity edema. Oral examination showed poor dentition, including missing molars (#1-3, #14-16, #17-19, #30-31), with the anterior teeth replaced by bridges supported by dental implants. The review of systems was otherwise unremarkable, with nocturia noted before the consultation.

TABLE 2. Cursory Urinary Laboratory Results 4 Months After Gadolinium Exposure

Serum and urine gadolinium testing, (Mayo Clinic Laboratories) revealed gadolinium levels of 0.3 mcg/24 h in the urine and 0.1 ng/mL in the serum. Nonzero values indicated detectable gadolinium, suggesting retention. The patient had a prior gadolinium exposure during a 2019 MRI (about 1340 days before) and suspected a repeat exposure on day 0, although the MRI technician stated that no contrast was administered. Given his elevated vitamin D levels, the patient was advised to minimize dietary supplements, particularly vitamin D, to avoid confounding symptoms. The plan included monitoring symptoms and a follow-up evaluation with repeat laboratory tests on day 116.

At the nephrology follow-up 4 months postexposure, the patient's symptoms had primarily abated, with a marked reduction in the previously noted metallic dysgeusia. Physical examination remained consistent with prior findings. He was afebrile (97.7 °F) with a blood pressure of 111/72 mmHg, a pulse of 63 beats per minute, and an oxygen saturation of 98% on ambient air. Laboratory analysis revealed serum and urine gadolinium levels below detectable thresholds (< 0.1 ng/mL and < 0.1 mcg/24 h). A 24-hour creatinine clearance, calculated from a urine volume of 1300 mL, measured at an optimal 106 mL/min, indicating preserved renal function (Tables 2 and 3). Of note, his 24-hour oxalate was above the reference range, with a urine pH below the reference range and a high supersaturation index for calcium oxalate.

Discussion

Use of enhanced MRI has increased in the Veterans Health Administration (Figure 2). A growing range of indications for enhanced procedures (eg, cardiac MRI) has contributed to this rise. The market has grown with new gadolinium-based contrast agents, such as gadopiclenol. However, reliance on untested assumptions about the safety of newer agents and need for robust clinical trials pose potential risks to patient safety.

Without prospective evidence, the American College of Radiology (ACR) classifies gadolinium-based contrast agents into 3 groups: Group 1, associated with the highest number of nephrogenic systemic fibrosis cases; Group 2, linked to few, if any, unconfounded cases; and Group 3, where data on nephrogenic systemic fibrosis risk have been limited. As of April 2024, the ACR reclassified Group 3 agents (Ablavar/Vasovist/Angiomark and Primovist/Eovist) into Group 2. Curiously, Vueway and Elucirem were approved in late 2022 and should clearly be categorized as Group 3 (Table 4).There were 19 cases of nephrogenic systemic fibrosis or similar manifestations, 8 of which were unconfounded by other factors. These patients had been exposed to gadobutrol, often combined with other agents. Gadobutrol—like other Group 2 agents—has been associated with nephrogenic systemic fibrosis.16,17 Despite US Food and Drug Administration (FDA) documentation of rising reports, many clinicians remain unaware that nephrogenic systemic fibrosis is increasingly linked to Group 2 agents classified by the ACR.18 While declines in reported cases of nephrogenic systemic fibrosis may suggest reduced incidence, this trend may reflect diminished clinical vigilance and underreporting, particularly given emerging evidence implicating even Group 2 gadolinium-based contrast agents in delayed and underrecognized presentations. This information has yet to permeate the medical community, particularly among nephrologists. Considering these cases, revisiting the ACR guidelines may be prudent. 

TABLE 3. Patient UroRisk Profile

To address this growing concern, clinicians must adopt stricter vigilance and actively pursue updated information to mitigate patient risks tied to these contrast agents. 

There exists an illusion of knowledge in disregarding the confounded exposures of MRI contrast agents. Ten distinct brands of contrast agents have been approved for clinical use. With repeated imaging, patients are often exposed to varying formulations of gadolinium-based agents. Yet investigators commonly discard these data points when assessing risk. By doing so, they assume—without evidence—that some formulations are inherently less likely to provoke adverse effects (AEs) than others. This untested presumption becomes perilous, especially given the limited understanding of the mechanisms underlying gadolinium-induced pathologies. As Aldous Huxley warned, “Facts do not cease to exist because they are ignored.”19

Gadolinium Persistence

Contrary to expectations, gadolinium persists in the body far longer than initially presumed. Symptoms associated with gadolinium exposure (SAGE) encapsulate the chronic, often enigmatic maladies tied to MRI contrast agents.20 The prolonged retention of this rare earth metal offers a compelling hypothesis for the etiology of SAGE. It has been hypothesized that Lewis base-rich metabolites increase susceptibility to gadolinium-based contrast agent complications.21

The blood and urine concentration elimination curves of gadolinium are exponential and categorized as fast, intermediate, and long-term.1 For urinary elimination, the function of the curves is exponential. The quantity of gadolinium in the urine at a time (t) after exposure (D[Gd](t)) is equal to the product of the amount of gadolinium in the sample (urine or blood) at the end of the fast elimination period (D[Gd](t0)) and the exponential decay with k being a rate constant.

To the authors’ knowledge, we are the only research team currently investigating the rate constant for the intermediate- and long-term phase gadolinium elimination. The Retention and Toxicity of Gadolinium-based Contrast Agents study was approved by the University of New Mexico Health Sciences Center Institutional Review Board on May 27, 2020 (IRB ID 19-660). The data for the patient in this case were compared with preliminary results for patients with exposure-to-measurement intervals < 100 days. 

The patient in this case presented with detectable gadolinium levels in urine and serum shortly after an attempted contrast-enhanced MRI procedure (Figure 3). The presence of detectable gadolinium levels in the patient’s urine and serum suggests a likely exposure to a contrast agent about 27 days before his consultation. While the technician reported that no contrast was administered during the attempted MRI, it remains possible that a small amount was introduced during cannulation, potentially triggering the patient’s symptoms. Linear modeling of semilogarithmic plots for participants exposed to contrast agents within 100 days (urine: P = 1.8 × 10ˉ8, adjusted = 0.62; blood: P = .005, adjusted = 0.21) provided clearance rates (k values) for urine and blood. Extrapolating from these models to the presumed exposure date, the intercepts estimate that the patient received between 0.5% and 8% of a standard contrast dose.

TABLE 4. ACR Reported MRI Adverse Events by Group

MRI contrast agents can cause skin disease. Systemic fibrosis is considered one of the most severe AEs. Skin pathophysiology involving myeloid cells is driven by elevated levels of monocyte chemoattractant protein-1, which recruits circulating fibroblasts via the C-C chemokine receptor 2.22,23 This occurs alongside activation of NADPH oxidase Nox4.4,24,25 Intracellular gadolinium-rich nanoparticles likely serve as catalysts for this reactive cascade.2,18,22,26,27 These particles assemble around intracellular lipid droplets and ferrule them in spiculated rare earth-rich shells that compromise cellular architecture.2,18,21,22,26,27 Frequently sequestered within endosomal compartments, they disrupt vesicular integrity and threaten cellular homeostasis. Interference with degradative systems such as the endolysosomal axis perturbs energy-recycling pathways—an insidious disturbance, particularly in cells with high metabolic demand. Skin-related symptoms are among the most frequently reported AEs, according to the FDA AE reporting system.18 

Studies indicate repeated exposure to MRI contrast agents can lead to permanent gadolinium retention in the brain and other vital organs. Intravenous (IV) contrast agents cross the blood-brain barrier rapidly, while intrathecal administration has been linked to significant and lasting neurologic effects.18 

Gadolinium is chemically bound to pharmaceutical ligands to enhance renal clearance and reduce toxicity. However, available data from human samples suggest potential ligand exchanges with undefined physiologic substances. This exchange may facilitate gadolinium precipitation and accumulation within cells into spiculated nanoparticles. Transmission electron microscopy reveals the formation of unilamellar bodies associated with mitochondriopathy and cellular damage, particularly in renal proximal tubules.2,18,22,26,27 It is proposed that intracellular nanoparticle formation represents a key mechanism driving the systemic symptoms observed in patients.1,2,18, 22,26,27 

Any hypothesis based on free soluble gadolinium—or concept derived from it—should be discarded. The high affinity of pharmaceutical ligands for gadolinium suggests that the cationic rare earth metal remains predominantly in a ligand-bound, soluble form. It is hypothesized that gadolinium undergoes ligand exchange with physiologic substances, directly leading to nanoparticle formation. Current data demonstrate gadolinium precipitation according to the Le Chatelier’s principle. Since precipitated gadolinium does not readily re-equilibrate with pharmaceutical ligands, repeated administration of different contrast agent brands may contribute to nanoparticle growth.26

Meanwhile, a growing number of patients are turning to chelation therapy, a largely untested treatment. The premise of chelation therapy is rooted in several unproven assumptions.18,21 First, it assumes that clinically significant amounts of gadolinium persist in compartments such as the extracellular space, where they can be effectively chelated and cleared. Second, it presumes that free gadolinium is the primary driver of chronic symptoms, an assertion that remains scientifically unsubstantiated. Finally, chelation proponents overlook the potential harm caused by depleting essential physiological metals during the process, assuming without evidence that the scant removal of gadolinium outweighs the risk of physiological mineral depletion. 

FIGURE 2. Rising use of gadolinium-enhanced MRI in VA facilities. A, a cohort of 939,928 unique VA patients, each undergoing ≥ 1 contrast-enhanced MRI procedure. The mean (SD) number of procedures per patient was 2.6 (2.8). Exposure to gadolinium after a single procedure correlates with an increased likelihood of future exposures. B, for 494,926 patients with ≥ 2 contrast-enhanced procedures, the mean (SD) number of exposures rises to 4.0 (3.3). This pattern suggests that an initial exposure is a risk factor for subsequent exposures, highlighting a form of conditional probability that merits further analysis. C, cumulative count of individuals with contrast-enhanced MRIs over time. The cohort (October 1, 1999, to October 20, 2024) included 2,403,709 unique individuals. Cumulative contrast agent exposures ranged from 0 to 87 (median, 2; mean, 3.34). D, cumulative count of individuals with contrast-enhanced MRI procedures relative to days from first exposure. Time from first to last exposure ranged from 0 days (for single exposures) to 9143 days (median, 309; mean, 1212). Repeated gadolinium exposures are common. Abbreviations: MRI, magnetic resonance imaging; VA, US Department of Veterans Affairs
FIGURE 2. Rising use of gadolinium-enhanced MRI in VA facilities. A, a cohort of 939,928 unique VA patients, each undergoing ≥ 1 contrast-enhanced MRI procedure. The mean (SD) number of procedures per patient was 2.6 (2.8). Exposure to gadolinium after a single procedure correlates with an increased likelihood of future exposures. B, for 494,926 patients with ≥ 2 contrast-enhanced procedures, the mean (SD) number of exposures rises to 4.0 (3.3). This pattern suggests that an initial exposure is a risk factor for subsequent exposures, highlighting a form of conditional probability that merits further analysis. C, cumulative count of individuals with contrast-enhanced MRIs over time. The cohort (October 1, 1999, to October 20, 2024) included 2,403,709 unique individuals. Cumulative contrast agent exposures ranged from 0 to 87 (median, 2; mean, 3.34). D, cumulative count of individuals with contrast-enhanced MRI procedures relative to days from first exposure. Time from first to last exposure ranged from 0 days (for single exposures) to 9143 days (median, 309; mean, 1212). Repeated gadolinium exposures are common. Abbreviations: MRI, magnetic resonance imaging; VA, US Department of Veterans Affairs

These assumptions underpin an unproven remedy that demands critical scrutiny. Recent findings reveal that gadolinium deposits in the skin and kidney often take the form of intracellular nanoparticles, directly challenging the foundation of chelation therapy. Chelation advocates must demonstrate that these intracellular gadolinium deposits neither trigger cellular toxicity nor initiate a cytokine cascade. Chelation supporters must prove that the systemic response to these foreign particles is unrelated to the symptoms reported by patients. Until then, the validity of chelation therapy remains highly questionable.

The causality of the symptoms, mainly whether IV gadolinium was administered, was examined. The null hypothesis stated that the patient was not exposed to gadolinium. However, this hypothesis was contradicted by the detection of gadolinium in the serum and urine 27 days after the potential exposure. 

Two plausible explanations exist for the nonzero gadolinium levels detected in the serum and urine. The first possibility is that minute quantities of gadolinium were introduced during cannulation, with the amount being sufficient to persist in measurable concentrations 27 days postexposure. The second possibility is that the gadolinium originated from an MRI contrast agent administered 4 years earlier. In this scenario, gadolinium stored in organ reservoirs such as bone, liver, or kidneys may have been mobilized into the extracellular fluid compartment due to the administration of high-dose steroids 20 days after the recent contrast-enhanced MRI procedure attempt. Coyte et al reported elevated gadolinium levels in the serum, cord blood, breast milk, and placenta of pregnant women with prior exposure to MRI contrast agents.28 These findings suggest that gadolinium, stored in organs such as bone may be remobilized by variables affecting bone remodeling (eg, high-dose steroids). 

Significantly, the patient exhibited elevated urinary oxalate levels. Previous research has found that oxalic acid reacts rapidly with MRI contrast agents, forming digadolinium trioxalate. While the gadolinium-rich nanoparticles identified in tissues such as the skin and kidney (including the human kidney) are amorphous, these in vitro findings establish a proof-of-concept: the intracellular environment facilitates gadolinium dissociation from pharmaceutical chelates. 

FIGURE 3. Estimate gadolinium exposure using back-extrapolation based on serum (A) and urine (B) gadolinium levels. This analysis derives from data collected under an institutional review board-approved protocol (#19-660). By measuring gadolinium concentrations in blood and urine 27 days postexposure, we calculated rate constants (k) for first-order elimination using Equation (1). Assuming standard, prescription label-recommended doses of gadolinium-based contrast agents, the extrapolated x-intercept suggests the patient experienced exposure to 0.5% to 8.0% of the standard magnetic resonance imaging contrast agent dose.
FIGURE 3. Estimate gadolinium exposure using back-extrapolation based on serum (A) and urine (B) gadolinium levels. This analysis derives from data collected under an institutional review board-approved protocol (#19-660). By measuring gadolinium concentrations in blood and urine 27 days postexposure, we calculated rate constants (k) for first-order elimination using Equation (1). Assuming standard, prescription label-recommended doses of gadolinium-based contrast agents, the extrapolated x-intercept suggests the patient experienced exposure to 0.5% to 8.0% of the standard magnetic resonance imaging contrast agent dose.

Furthermore, in vitro experiments show that proteins and lysosomal pH promote this dissociation, underscoring how human metabolic conditions—particularly oxalic acid concentration—may drive intracellular gadolinium deposition.

Patient Perspective

“They put something into my body that they cannot get out.” This stark realization underpins the patient’s profound concern about gadolinium-based contrast agents and their potential long-term effects. Reflecting on his experience, the patient expressed deep fears about the unknown future impacts: “I’m concerned about my kidneys, I’m concerned about my heart, and I’m concerned about my brain. I don’t know how this stuff is going to affect me in the future.”

He drew an unsettling parallel between gadolinium and heavy metals: “Heavy metal is poison. The body does not produce this kind of stuff on its own.” His reaction to the procedure left a lasting impression, prompting him to question the logic of using a substance that cannot be purged: “Why would you put something into someone’s body that you cannot extract? Nobody—nobody—should experience what I went through.”

The patient emphasized the lack of clear research on long-term outcomes, which compounds his anxiety: “If there was research that said, ‘Well, this is only going to affect these organs for this long,’ OK, I might be able to accept that. But there is no research like that. Nobody can tell me what’s going to happen in 5 years.”

Strengths and Limitations

A significant strength of this approach is the ability to track gadolinium elimination and symptom resolution over time, supported by unique access to intermediate and long-term clearance data from our ongoing research protocol. The investigators were equipped to back-extrapolate the exposure, which provided a rare opportunity to correlate gadolinium levels with clinical outcomes. The primary limitation is the lack of a defined clinical case definition for gadolinium toxicity and limited mechanistic understanding of SAGE, which hinders diagnosis and management.

Metabolites, proteins, and lipids rich in Lewis bases could initiate this process as substrates for intracellular gadolinium sedimentation. Future studies should investigate whether metabolic conditions such as oxalate burden or altered parathyroid hormone levels modulate gadolinium compartmentalization and tissue retention. If gadolinium-rich nanoparticle formation and accumulation disrupt cellular equilibrium, it underscores an urgent need to understand the implications of long-term gadolinium retention. The research team continues to gather evidence that the gadolinium cation remains chelated from the moment MRI contrast agents are administered through to the formation of intracellular nanoparticles. Retained gadolinium nanoparticles may act as a nidus, triggering cellular signaling cascades that lead to multisymptomatic illnesses. Intracellular and insoluble retained gadolinium challenges proponents of untested chelation therapies.

Conclusions

This case highlights emerging clinical and ethical concerns surrounding gadolinium-based contrast agent use. Clinicians may benefit from considering gadolinium retention as a contributor to persistent, unexplained symptoms—particularly in patients with recent imaging exposure. As contrast use continues to rise within federal health systems, regulatory and administrative stakeholders would do well to re-examine current safety frameworks. Informed consent should reflect what is known: gadolinium can remain in the body long after administration, potentially indefinitely. The long-term consequences of cumulative exposure remain poorly defined, but the presence of a lanthanide element in human tissue warrants greater attention from researchers and regulators alike. Interest in alternative imaging modalities and long-term safety monitoring would mark progress toward more transparent, accountable care.

APPENDIX 1. The periodic table of physiologic elements excludes rare earth metals, such as gadolinium. The f-block elements, including gadolinium, are named for their partially filled f-electron orbitals. The electronic configuration of cationic gadolinium (Gd³+) is 1s² 2s² 2p6 3s² 3p6  4s² 3d10 4p6 5s² 4d10 5p6 4f7, while the configuration of anionic iodine (I+), the physiologic element with the highest atomic number, is 1s² 2s² 2p6  3s² 3p6 3d10 4s² 4p6 4d10 5s² 5p5. The unpaired electrons in the f-orbitals of gadolinium confer its distinct chemical, electromagnetic, and optical properties. These properties arise from the electron orbital configuration, which governs the behavior of all elements. Mammals do not naturally incorporate rare earth metals, including gadolinium, into the usual physiologic milieu.
APPENDIX 1. The periodic table of physiologic elements excludes rare earth metals, such as gadolinium. The f-block elements, including gadolinium, are named for their partially filled f-electron orbitals. The electronic configuration of cationic gadolinium (Gd³+) is 1s² 2s² 2p6 3s² 3p6  4s² 3d10 4p6 5s² 4d10 5p6 4f7, while the configuration of anionic iodine (I+), the physiologic element with the highest atomic number, is 1s² 2s² 2p6  3s² 3p6 3d10 4s² 4p6 4d10 5s² 5p5. The unpaired electrons in the f-orbitals of gadolinium confer its distinct chemical, electromagnetic, and optical properties. These properties arise from the electron orbital configuration, which governs the behavior of all elements. Mammals do not naturally incorporate rare earth metals, including gadolinium, into the usual physiologic milieu.
APPENDIX 2. Electrocardiogram showing a finely static background consistent with the electric hospital stretcher artifact. Key findings include sinus bradycardia, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in lead V1, an R transition in lead V2, an RR’ pattern in lead V2, and flat ST segments in lead III.
APPENDIX 2. Electrocardiogram showing a finely static background consistent with the electric hospital stretcher artifact. Key findings include sinus bradycardia, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in lead V1, an R transition in lead V2, an RR’ pattern in lead V2, and flat ST segments in lead III.

Magnetic resonance image (MRI) contrast agents can induce profound complications, including gadolinium encephalopathy, kidney injury, gadolinium-associated plaques, and progressive systemic fibrosis, which can be fatal.1-10 About 50% of MRIs use gadolinium-based contrast (Gd3+), a toxic rare earth metal ion that enhances imaging but requires binding with pharmaceutical ligands to reduce toxicity and promote renal elimination (Figure 1). Despite these measures, Gd3+ can persist in the body, including the brain.11,12 Wastewater treatment fails to remove these agents, making Gd3+ a growing pollutant in water and the food chain.13-15 Because Gd3+ is a rare earth metal ion in the milieu intérieur, there is an urgent need to study its biological and long-term effects (Appendix 1). 

Case Presentation

A 65-year-old Vietnam-era veteran presented to nephrology at the Raymond G. Murphy Veterans Affairs Medical Center (RGMVAMC) in Albuquerque, New Mexico, for evaluation of gadolinium-induced symptoms. His medical history included metabolic syndrome, hypertension, hyperlipidemia, hypogonadism, cervical spondylosis, and an elevated prostate-specific antigen, previously assessed with a contrast-enhanced MRI in 2019 (Gadobenic acid, 19 mL). Surgical history included cervical fusion and ankle hardware.

The patient had a scheduled MRI 25 days earlier, following an elevated prostate specific antigen test result, prompting urologic surveillance and concern for malignancy. In preparation for the contrast-enhanced MRI, his right arm was cannulated with a line primed with gadobenic acid contrast. Though the technician stated the infusion had not started, the patient’s symptoms began shortly after entry into the scanner, before any programmed pulse sequences. The patient experienced claustrophobia, diaphoresis, palpitations, xerostomia, dysgeusia, shortness of breath, and a sensation of heat in his groin, chest, “kidneys,” and lower back. The MRI was terminated prematurely in response to the patient’s acute symptomatology. The patient continued experiencing new symptoms intermittently during the following week, including lightheadedness, headaches, right clavicular pain, raspy voice, edema, and a sense of doom.

FIGURE 1. Magnetic resonance imaging contrast agents are polyaminocarboxylic acid ligands engineered to tightly chelate gadolinium, a toxic rare earth metal, and facilitate its elimination. Source: Brent Wagner, reprinted with permission
FIGURE 1. Magnetic resonance imaging contrast agents are polyaminocarboxylic acid ligands engineered to tightly chelate gadolinium, a toxic rare earth metal, and facilitate its elimination. Source: Brent Wagner, reprinted with permission
TABLE 1. Laboratory Results

The patient presented to the RGMVAMC emergency department (ED) 8 days after the MRI with worsening symptoms and was hospitalized for 10 days. During this time, he was referred to nephrology for outpatient evaluation. While awaiting his nephrology appointment, the patient presented to the RGMVAMC ED 20 days after the initial episode with ongoing symptoms. “I thought I was dying,” he said. Laboratory results and a 12-lead electrocardiogram showed a finely static background, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in V1, R transition in V2, RR’ in V2, ST flat in lead III, and sinus bradycardia (Table 1 and Appendix 2).

The patient’s medical and surgical histories were reviewed at the nephrology evaluation 25 days following the MRI. He reported that household water was sourced from a well and that he filtered his drinking water with a reverse osmosis system. He served in the US Army for 10 years as an engineer specializing in mechanical systems, power generation, and vehicles. Following Army retirement, the patient served in the US Air Force Reserves for 15 years, working as a crew chief in pneudraulics. The patient reported stopping tobacco use 1 year before and also reported regular use of a broad array of prescription medications and dietary supplements, including dexamethasone (4 mg twice daily), fluticasone nasal spray (50 mcg per nostril, twice daily), ibuprofen (400 mg twice daily, as needed), loratadine (10 mg daily), aspirin (81 mg daily), and metoprolol succinate (50 mg nightly). In addition, he reported consistent use of cholecalciferol (3000 IU daily), another supplemental vitamin D preparation, chelated magnesium glycinate (3 tablets daily for bone issues), turmeric (1 tablet daily), a multivitamin (Living Green Liquid Gel, daily), and a mega-B complex.

Physical examination revealed a well-nourished, tall man with hypertension (145/87 mmHg) and bilateral lower extremity edema. Oral examination showed poor dentition, including missing molars (#1-3, #14-16, #17-19, #30-31), with the anterior teeth replaced by bridges supported by dental implants. The review of systems was otherwise unremarkable, with nocturia noted before the consultation.

TABLE 2. Cursory Urinary Laboratory Results 4 Months After Gadolinium Exposure

Serum and urine gadolinium testing, (Mayo Clinic Laboratories) revealed gadolinium levels of 0.3 mcg/24 h in the urine and 0.1 ng/mL in the serum. Nonzero values indicated detectable gadolinium, suggesting retention. The patient had a prior gadolinium exposure during a 2019 MRI (about 1340 days before) and suspected a repeat exposure on day 0, although the MRI technician stated that no contrast was administered. Given his elevated vitamin D levels, the patient was advised to minimize dietary supplements, particularly vitamin D, to avoid confounding symptoms. The plan included monitoring symptoms and a follow-up evaluation with repeat laboratory tests on day 116.

At the nephrology follow-up 4 months postexposure, the patient's symptoms had primarily abated, with a marked reduction in the previously noted metallic dysgeusia. Physical examination remained consistent with prior findings. He was afebrile (97.7 °F) with a blood pressure of 111/72 mmHg, a pulse of 63 beats per minute, and an oxygen saturation of 98% on ambient air. Laboratory analysis revealed serum and urine gadolinium levels below detectable thresholds (< 0.1 ng/mL and < 0.1 mcg/24 h). A 24-hour creatinine clearance, calculated from a urine volume of 1300 mL, measured at an optimal 106 mL/min, indicating preserved renal function (Tables 2 and 3). Of note, his 24-hour oxalate was above the reference range, with a urine pH below the reference range and a high supersaturation index for calcium oxalate.

Discussion

Use of enhanced MRI has increased in the Veterans Health Administration (Figure 2). A growing range of indications for enhanced procedures (eg, cardiac MRI) has contributed to this rise. The market has grown with new gadolinium-based contrast agents, such as gadopiclenol. However, reliance on untested assumptions about the safety of newer agents and need for robust clinical trials pose potential risks to patient safety.

Without prospective evidence, the American College of Radiology (ACR) classifies gadolinium-based contrast agents into 3 groups: Group 1, associated with the highest number of nephrogenic systemic fibrosis cases; Group 2, linked to few, if any, unconfounded cases; and Group 3, where data on nephrogenic systemic fibrosis risk have been limited. As of April 2024, the ACR reclassified Group 3 agents (Ablavar/Vasovist/Angiomark and Primovist/Eovist) into Group 2. Curiously, Vueway and Elucirem were approved in late 2022 and should clearly be categorized as Group 3 (Table 4).There were 19 cases of nephrogenic systemic fibrosis or similar manifestations, 8 of which were unconfounded by other factors. These patients had been exposed to gadobutrol, often combined with other agents. Gadobutrol—like other Group 2 agents—has been associated with nephrogenic systemic fibrosis.16,17 Despite US Food and Drug Administration (FDA) documentation of rising reports, many clinicians remain unaware that nephrogenic systemic fibrosis is increasingly linked to Group 2 agents classified by the ACR.18 While declines in reported cases of nephrogenic systemic fibrosis may suggest reduced incidence, this trend may reflect diminished clinical vigilance and underreporting, particularly given emerging evidence implicating even Group 2 gadolinium-based contrast agents in delayed and underrecognized presentations. This information has yet to permeate the medical community, particularly among nephrologists. Considering these cases, revisiting the ACR guidelines may be prudent. 

TABLE 3. Patient UroRisk Profile

To address this growing concern, clinicians must adopt stricter vigilance and actively pursue updated information to mitigate patient risks tied to these contrast agents. 

There exists an illusion of knowledge in disregarding the confounded exposures of MRI contrast agents. Ten distinct brands of contrast agents have been approved for clinical use. With repeated imaging, patients are often exposed to varying formulations of gadolinium-based agents. Yet investigators commonly discard these data points when assessing risk. By doing so, they assume—without evidence—that some formulations are inherently less likely to provoke adverse effects (AEs) than others. This untested presumption becomes perilous, especially given the limited understanding of the mechanisms underlying gadolinium-induced pathologies. As Aldous Huxley warned, “Facts do not cease to exist because they are ignored.”19

Gadolinium Persistence

Contrary to expectations, gadolinium persists in the body far longer than initially presumed. Symptoms associated with gadolinium exposure (SAGE) encapsulate the chronic, often enigmatic maladies tied to MRI contrast agents.20 The prolonged retention of this rare earth metal offers a compelling hypothesis for the etiology of SAGE. It has been hypothesized that Lewis base-rich metabolites increase susceptibility to gadolinium-based contrast agent complications.21

The blood and urine concentration elimination curves of gadolinium are exponential and categorized as fast, intermediate, and long-term.1 For urinary elimination, the function of the curves is exponential. The quantity of gadolinium in the urine at a time (t) after exposure (D[Gd](t)) is equal to the product of the amount of gadolinium in the sample (urine or blood) at the end of the fast elimination period (D[Gd](t0)) and the exponential decay with k being a rate constant.

To the authors’ knowledge, we are the only research team currently investigating the rate constant for the intermediate- and long-term phase gadolinium elimination. The Retention and Toxicity of Gadolinium-based Contrast Agents study was approved by the University of New Mexico Health Sciences Center Institutional Review Board on May 27, 2020 (IRB ID 19-660). The data for the patient in this case were compared with preliminary results for patients with exposure-to-measurement intervals < 100 days. 

The patient in this case presented with detectable gadolinium levels in urine and serum shortly after an attempted contrast-enhanced MRI procedure (Figure 3). The presence of detectable gadolinium levels in the patient’s urine and serum suggests a likely exposure to a contrast agent about 27 days before his consultation. While the technician reported that no contrast was administered during the attempted MRI, it remains possible that a small amount was introduced during cannulation, potentially triggering the patient’s symptoms. Linear modeling of semilogarithmic plots for participants exposed to contrast agents within 100 days (urine: P = 1.8 × 10ˉ8, adjusted = 0.62; blood: P = .005, adjusted = 0.21) provided clearance rates (k values) for urine and blood. Extrapolating from these models to the presumed exposure date, the intercepts estimate that the patient received between 0.5% and 8% of a standard contrast dose.

TABLE 4. ACR Reported MRI Adverse Events by Group

MRI contrast agents can cause skin disease. Systemic fibrosis is considered one of the most severe AEs. Skin pathophysiology involving myeloid cells is driven by elevated levels of monocyte chemoattractant protein-1, which recruits circulating fibroblasts via the C-C chemokine receptor 2.22,23 This occurs alongside activation of NADPH oxidase Nox4.4,24,25 Intracellular gadolinium-rich nanoparticles likely serve as catalysts for this reactive cascade.2,18,22,26,27 These particles assemble around intracellular lipid droplets and ferrule them in spiculated rare earth-rich shells that compromise cellular architecture.2,18,21,22,26,27 Frequently sequestered within endosomal compartments, they disrupt vesicular integrity and threaten cellular homeostasis. Interference with degradative systems such as the endolysosomal axis perturbs energy-recycling pathways—an insidious disturbance, particularly in cells with high metabolic demand. Skin-related symptoms are among the most frequently reported AEs, according to the FDA AE reporting system.18 

Studies indicate repeated exposure to MRI contrast agents can lead to permanent gadolinium retention in the brain and other vital organs. Intravenous (IV) contrast agents cross the blood-brain barrier rapidly, while intrathecal administration has been linked to significant and lasting neurologic effects.18 

Gadolinium is chemically bound to pharmaceutical ligands to enhance renal clearance and reduce toxicity. However, available data from human samples suggest potential ligand exchanges with undefined physiologic substances. This exchange may facilitate gadolinium precipitation and accumulation within cells into spiculated nanoparticles. Transmission electron microscopy reveals the formation of unilamellar bodies associated with mitochondriopathy and cellular damage, particularly in renal proximal tubules.2,18,22,26,27 It is proposed that intracellular nanoparticle formation represents a key mechanism driving the systemic symptoms observed in patients.1,2,18, 22,26,27 

Any hypothesis based on free soluble gadolinium—or concept derived from it—should be discarded. The high affinity of pharmaceutical ligands for gadolinium suggests that the cationic rare earth metal remains predominantly in a ligand-bound, soluble form. It is hypothesized that gadolinium undergoes ligand exchange with physiologic substances, directly leading to nanoparticle formation. Current data demonstrate gadolinium precipitation according to the Le Chatelier’s principle. Since precipitated gadolinium does not readily re-equilibrate with pharmaceutical ligands, repeated administration of different contrast agent brands may contribute to nanoparticle growth.26

Meanwhile, a growing number of patients are turning to chelation therapy, a largely untested treatment. The premise of chelation therapy is rooted in several unproven assumptions.18,21 First, it assumes that clinically significant amounts of gadolinium persist in compartments such as the extracellular space, where they can be effectively chelated and cleared. Second, it presumes that free gadolinium is the primary driver of chronic symptoms, an assertion that remains scientifically unsubstantiated. Finally, chelation proponents overlook the potential harm caused by depleting essential physiological metals during the process, assuming without evidence that the scant removal of gadolinium outweighs the risk of physiological mineral depletion. 

FIGURE 2. Rising use of gadolinium-enhanced MRI in VA facilities. A, a cohort of 939,928 unique VA patients, each undergoing ≥ 1 contrast-enhanced MRI procedure. The mean (SD) number of procedures per patient was 2.6 (2.8). Exposure to gadolinium after a single procedure correlates with an increased likelihood of future exposures. B, for 494,926 patients with ≥ 2 contrast-enhanced procedures, the mean (SD) number of exposures rises to 4.0 (3.3). This pattern suggests that an initial exposure is a risk factor for subsequent exposures, highlighting a form of conditional probability that merits further analysis. C, cumulative count of individuals with contrast-enhanced MRIs over time. The cohort (October 1, 1999, to October 20, 2024) included 2,403,709 unique individuals. Cumulative contrast agent exposures ranged from 0 to 87 (median, 2; mean, 3.34). D, cumulative count of individuals with contrast-enhanced MRI procedures relative to days from first exposure. Time from first to last exposure ranged from 0 days (for single exposures) to 9143 days (median, 309; mean, 1212). Repeated gadolinium exposures are common. Abbreviations: MRI, magnetic resonance imaging; VA, US Department of Veterans Affairs
FIGURE 2. Rising use of gadolinium-enhanced MRI in VA facilities. A, a cohort of 939,928 unique VA patients, each undergoing ≥ 1 contrast-enhanced MRI procedure. The mean (SD) number of procedures per patient was 2.6 (2.8). Exposure to gadolinium after a single procedure correlates with an increased likelihood of future exposures. B, for 494,926 patients with ≥ 2 contrast-enhanced procedures, the mean (SD) number of exposures rises to 4.0 (3.3). This pattern suggests that an initial exposure is a risk factor for subsequent exposures, highlighting a form of conditional probability that merits further analysis. C, cumulative count of individuals with contrast-enhanced MRIs over time. The cohort (October 1, 1999, to October 20, 2024) included 2,403,709 unique individuals. Cumulative contrast agent exposures ranged from 0 to 87 (median, 2; mean, 3.34). D, cumulative count of individuals with contrast-enhanced MRI procedures relative to days from first exposure. Time from first to last exposure ranged from 0 days (for single exposures) to 9143 days (median, 309; mean, 1212). Repeated gadolinium exposures are common. Abbreviations: MRI, magnetic resonance imaging; VA, US Department of Veterans Affairs

These assumptions underpin an unproven remedy that demands critical scrutiny. Recent findings reveal that gadolinium deposits in the skin and kidney often take the form of intracellular nanoparticles, directly challenging the foundation of chelation therapy. Chelation advocates must demonstrate that these intracellular gadolinium deposits neither trigger cellular toxicity nor initiate a cytokine cascade. Chelation supporters must prove that the systemic response to these foreign particles is unrelated to the symptoms reported by patients. Until then, the validity of chelation therapy remains highly questionable.

The causality of the symptoms, mainly whether IV gadolinium was administered, was examined. The null hypothesis stated that the patient was not exposed to gadolinium. However, this hypothesis was contradicted by the detection of gadolinium in the serum and urine 27 days after the potential exposure. 

Two plausible explanations exist for the nonzero gadolinium levels detected in the serum and urine. The first possibility is that minute quantities of gadolinium were introduced during cannulation, with the amount being sufficient to persist in measurable concentrations 27 days postexposure. The second possibility is that the gadolinium originated from an MRI contrast agent administered 4 years earlier. In this scenario, gadolinium stored in organ reservoirs such as bone, liver, or kidneys may have been mobilized into the extracellular fluid compartment due to the administration of high-dose steroids 20 days after the recent contrast-enhanced MRI procedure attempt. Coyte et al reported elevated gadolinium levels in the serum, cord blood, breast milk, and placenta of pregnant women with prior exposure to MRI contrast agents.28 These findings suggest that gadolinium, stored in organs such as bone may be remobilized by variables affecting bone remodeling (eg, high-dose steroids). 

Significantly, the patient exhibited elevated urinary oxalate levels. Previous research has found that oxalic acid reacts rapidly with MRI contrast agents, forming digadolinium trioxalate. While the gadolinium-rich nanoparticles identified in tissues such as the skin and kidney (including the human kidney) are amorphous, these in vitro findings establish a proof-of-concept: the intracellular environment facilitates gadolinium dissociation from pharmaceutical chelates. 

FIGURE 3. Estimate gadolinium exposure using back-extrapolation based on serum (A) and urine (B) gadolinium levels. This analysis derives from data collected under an institutional review board-approved protocol (#19-660). By measuring gadolinium concentrations in blood and urine 27 days postexposure, we calculated rate constants (k) for first-order elimination using Equation (1). Assuming standard, prescription label-recommended doses of gadolinium-based contrast agents, the extrapolated x-intercept suggests the patient experienced exposure to 0.5% to 8.0% of the standard magnetic resonance imaging contrast agent dose.
FIGURE 3. Estimate gadolinium exposure using back-extrapolation based on serum (A) and urine (B) gadolinium levels. This analysis derives from data collected under an institutional review board-approved protocol (#19-660). By measuring gadolinium concentrations in blood and urine 27 days postexposure, we calculated rate constants (k) for first-order elimination using Equation (1). Assuming standard, prescription label-recommended doses of gadolinium-based contrast agents, the extrapolated x-intercept suggests the patient experienced exposure to 0.5% to 8.0% of the standard magnetic resonance imaging contrast agent dose.

Furthermore, in vitro experiments show that proteins and lysosomal pH promote this dissociation, underscoring how human metabolic conditions—particularly oxalic acid concentration—may drive intracellular gadolinium deposition.

Patient Perspective

“They put something into my body that they cannot get out.” This stark realization underpins the patient’s profound concern about gadolinium-based contrast agents and their potential long-term effects. Reflecting on his experience, the patient expressed deep fears about the unknown future impacts: “I’m concerned about my kidneys, I’m concerned about my heart, and I’m concerned about my brain. I don’t know how this stuff is going to affect me in the future.”

He drew an unsettling parallel between gadolinium and heavy metals: “Heavy metal is poison. The body does not produce this kind of stuff on its own.” His reaction to the procedure left a lasting impression, prompting him to question the logic of using a substance that cannot be purged: “Why would you put something into someone’s body that you cannot extract? Nobody—nobody—should experience what I went through.”

The patient emphasized the lack of clear research on long-term outcomes, which compounds his anxiety: “If there was research that said, ‘Well, this is only going to affect these organs for this long,’ OK, I might be able to accept that. But there is no research like that. Nobody can tell me what’s going to happen in 5 years.”

Strengths and Limitations

A significant strength of this approach is the ability to track gadolinium elimination and symptom resolution over time, supported by unique access to intermediate and long-term clearance data from our ongoing research protocol. The investigators were equipped to back-extrapolate the exposure, which provided a rare opportunity to correlate gadolinium levels with clinical outcomes. The primary limitation is the lack of a defined clinical case definition for gadolinium toxicity and limited mechanistic understanding of SAGE, which hinders diagnosis and management.

Metabolites, proteins, and lipids rich in Lewis bases could initiate this process as substrates for intracellular gadolinium sedimentation. Future studies should investigate whether metabolic conditions such as oxalate burden or altered parathyroid hormone levels modulate gadolinium compartmentalization and tissue retention. If gadolinium-rich nanoparticle formation and accumulation disrupt cellular equilibrium, it underscores an urgent need to understand the implications of long-term gadolinium retention. The research team continues to gather evidence that the gadolinium cation remains chelated from the moment MRI contrast agents are administered through to the formation of intracellular nanoparticles. Retained gadolinium nanoparticles may act as a nidus, triggering cellular signaling cascades that lead to multisymptomatic illnesses. Intracellular and insoluble retained gadolinium challenges proponents of untested chelation therapies.

Conclusions

This case highlights emerging clinical and ethical concerns surrounding gadolinium-based contrast agent use. Clinicians may benefit from considering gadolinium retention as a contributor to persistent, unexplained symptoms—particularly in patients with recent imaging exposure. As contrast use continues to rise within federal health systems, regulatory and administrative stakeholders would do well to re-examine current safety frameworks. Informed consent should reflect what is known: gadolinium can remain in the body long after administration, potentially indefinitely. The long-term consequences of cumulative exposure remain poorly defined, but the presence of a lanthanide element in human tissue warrants greater attention from researchers and regulators alike. Interest in alternative imaging modalities and long-term safety monitoring would mark progress toward more transparent, accountable care.

APPENDIX 1. The periodic table of physiologic elements excludes rare earth metals, such as gadolinium. The f-block elements, including gadolinium, are named for their partially filled f-electron orbitals. The electronic configuration of cationic gadolinium (Gd³+) is 1s² 2s² 2p6 3s² 3p6  4s² 3d10 4p6 5s² 4d10 5p6 4f7, while the configuration of anionic iodine (I+), the physiologic element with the highest atomic number, is 1s² 2s² 2p6  3s² 3p6 3d10 4s² 4p6 4d10 5s² 5p5. The unpaired electrons in the f-orbitals of gadolinium confer its distinct chemical, electromagnetic, and optical properties. These properties arise from the electron orbital configuration, which governs the behavior of all elements. Mammals do not naturally incorporate rare earth metals, including gadolinium, into the usual physiologic milieu.
APPENDIX 1. The periodic table of physiologic elements excludes rare earth metals, such as gadolinium. The f-block elements, including gadolinium, are named for their partially filled f-electron orbitals. The electronic configuration of cationic gadolinium (Gd³+) is 1s² 2s² 2p6 3s² 3p6  4s² 3d10 4p6 5s² 4d10 5p6 4f7, while the configuration of anionic iodine (I+), the physiologic element with the highest atomic number, is 1s² 2s² 2p6  3s² 3p6 3d10 4s² 4p6 4d10 5s² 5p5. The unpaired electrons in the f-orbitals of gadolinium confer its distinct chemical, electromagnetic, and optical properties. These properties arise from the electron orbital configuration, which governs the behavior of all elements. Mammals do not naturally incorporate rare earth metals, including gadolinium, into the usual physiologic milieu.
APPENDIX 2. Electrocardiogram showing a finely static background consistent with the electric hospital stretcher artifact. Key findings include sinus bradycardia, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in lead V1, an R transition in lead V2, an RR’ pattern in lead V2, and flat ST segments in lead III.
APPENDIX 2. Electrocardiogram showing a finely static background consistent with the electric hospital stretcher artifact. Key findings include sinus bradycardia, wide P waves (> 80 ms) with notching in lead II, sinusoidal P waves in lead V1, an R transition in lead V2, an RR’ pattern in lead V2, and flat ST segments in lead III.
References
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  2. Do C, DeAguero J, Brearley A, et al. Gadolinium-based contrast agent use, their safety, and practice evolution. Kidney360. 2020;1:561-568.doi:10.34067/kid.0000272019

  3. Leyba K, Wagner B. Gadolinium-based contrast agents: why nephrologists need to be concerned. Curr Opin Nephrol Hypertens. 2019;28:154-162. doi:10.1097/MNH.0000000000000475

  4. Wagner B, Drel V, Gorin Y. Pathophysiology of gadolinium-associated systemic fibrosis. Am J Physiol Renal Physiol. 2016;311:F1-F11. doi:10.1152/ajprenal.00166.2016

  5. Maramattom BV, Manno EM, Wijdicks EF, et al. Gadolinium encephalopathy in a patient with renal failure. Neurology. 2005;64:1276-1278.doi:10.1212/01.WNL.0000156805.45547.6E

  6. Sam AD II, Morasch MD, Collins J, et al. Safety of gadolinium contrast angiography in patients with chronic renal insufficiency. J Vasc Surg. 2003;38:313-318. doi:10.1016/s0741-5214(03)00315-x

  7. Schenker MP, Solomon JA, Roberts DA. Gadolinium arteriography complicated by acute pancreatitis and acute renal failure. J Vasc Interv Radiol. 2001;12:393. doi:10.1016/s1051-0443(07)61925-3

  8. Gemery J, Idelson B, Reid S, et al. Acute renal failure after arteriography with a gadolinium-based contrast agent. AJR Am J Roentgenol. 1998;171:1277-1278. doi:10.2214/ajr.171.5.9798860

  9. Akgun H, Gonlusen G, Cartwright J Jr, et al. Are gadolinium-based contrast media nephrotoxic? A renal biopsy study. Arch Pathol Lab Med. 2006;130:1354-1357. doi:10.5858/2006-130-1354-AGCMNA

  10. Gathings RM, Reddy R, Santa Cruz D, et al. Gadolinium-associated plaques: a new, distinctive clinical entity. JAMA Dermatol. 2015;151:316-319. doi:10.1001/jamadermatol.2014.2660

  11. McDonald RJ, McDonald JS, Kallmes DF, et al. Gadolinium deposition in human brain tissues after contrast-enhanced MR imaging in adult patients without intracranial abnormalities. Radiology. 2017;285(2):546-554. doi:10.1148/radiol.2017161595

  12. Kanda T, Ishii K, Kawaguchi H, et al. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology. 2014;270(3):834-841. doi:10.1148/radiol.13131669

  13. Schmidt K, Bau M, Merschel G, et al. Anthropogenic gadolinium in tap water and in tap water-based beverages from fast-food franchises in six major cities in Germany. Sci Total Environ. 2019;687:1401-1408. doi:10.1016/j.scitotenv.2019.07.075

  14. Kulaksız S, Bau M. Anthropogenic gadolinium as a microcontaminant in tap water used as drinking water in urban areas and megacities. Appl Geochem. 2011;26:1877-1885.

  15. Brunjes R, Hofmann T. Anthropogenic gadolinium in freshwater and drinking water systems. Water Res. 2020;182:115966. doi:10.1016/j.watres.2020.115966

  16. Endrikat J, Gutberlet M, Hoffmann KT, et al. Clinical safety of gadobutrol: review of over 25 years of use exceeding 100 million administrations. Invest Radiol. 2024;59(9):605-613. doi:10.1097/RLI.0000000000001072

  17. Elmholdt TR, Jørgensen B, Ramsing M, et al. Two cases of nephrogenic systemic fibrosis after exposure to the macrocyclic compound gadobutrol. NDT Plus. 2010;3(3):285-287. doi:10.1093/ndtplus/sfq028

  18. Cunningham A, Kirk M, Hong E, et al. The safety of magnetic resonance imaging contrast agents. Front Toxicol. 2024;6:1376587. doi:10.3389/ftox.2024.1376587

  19. Huxley A. Complete Essays. Volume II, 1926-1929. Chicago; 2000:227.

  20. McDonald RJ, Weinreb JC, Davenport MS. Symptoms associated with gadolinium exposure (SAGE): a suggested term. Radiology. 2022;302(2):270-273. doi:10.1148/radiol.2021211349

  21. Henderson IM, Benevidez AD, Mowry CD, et al. Precipitation of gadolinium from magnetic resonance imaging contrast agents may be the Brass tacks of toxicity. Magn Reson Imaging. 2025;119:110383. doi:10.1016/j.mri.2025.110383

  22. Do C, Drel V, Tan C, et al. Nephrogenic systemic fibrosis is mediated by myeloid C-C chemokine receptor 2. J Invest Dermatol. 2019;139(10):2134-2143. doi:10.1016/j.jid.2019.03.1145

  23. Drel VR, Tan C, Barnes JL, et al. Centrality of bone marrow in the severity of gadolinium-based contrast-induced systemic fibrosis. FASEB J. 2016;30(9):3026-3038. doi:10.1096/fj.201500188R

  24. Bruno F, DeAguero J, Do C, et al. Overlapping roles of NADPH oxidase 4 for diabetic and gadolinium-based contrast agent-induced systemic fibrosis. Am J Physiol Renal Physiol. 2021;320(4):F617-F627. doi:10.1152/ajprenal.00456.2020

  25. Wagner B, Tan C, Barnes JL, et al. Nephrogenic systemic fibrosis: evidence for oxidative stress and bone marrow-derived fibrocytes in skin, liver, and heart lesions using a 5/6 nephrectomy rodent model. Am J Pathol. 2012;181(6):1941-1952. doi:10.1016/j.ajpath.2012.08.026

  26. DeAguero J, Howard T, Kusewitt D, et al. The onset of rare earth metallosis begins with renal gadolinium-rich nanoparticles from magnetic resonance imaging contrast agent exposure. Sci Rep. 2023;13(1):2025. doi:10.1038/s41598-023-28666-1

  27. Do C, Ford B, Lee DY, et al. Gadolinium-based contrast agents: Stimulators of myeloid-induced renal fibrosis and major metabolic disruptors. Toxicol Appl Pharmacol. 2019;375:32-45. doi:10.1016/j.taap.2019.05.009

  28. Coyte RM, Darrah T, Olesik J, et al. Gadolinium during human pregnancy following administration of gadolinium chelate before pregnancy. Birth Defects Res. 2023;115(14):1264-1273. doi:10.1002/bdr2.2209

References
  1. Jackson DB, MacIntyre T, Duarte-Miramontes V, et al. Gadolinium deposition disease: a case report and the prevalence of enhanced MRI procedures within the Veterans Health Administration. Fed Pract. 2022;39:218-225. doi:10.12788/fp.0258

  2. Do C, DeAguero J, Brearley A, et al. Gadolinium-based contrast agent use, their safety, and practice evolution. Kidney360. 2020;1:561-568.doi:10.34067/kid.0000272019

  3. Leyba K, Wagner B. Gadolinium-based contrast agents: why nephrologists need to be concerned. Curr Opin Nephrol Hypertens. 2019;28:154-162. doi:10.1097/MNH.0000000000000475

  4. Wagner B, Drel V, Gorin Y. Pathophysiology of gadolinium-associated systemic fibrosis. Am J Physiol Renal Physiol. 2016;311:F1-F11. doi:10.1152/ajprenal.00166.2016

  5. Maramattom BV, Manno EM, Wijdicks EF, et al. Gadolinium encephalopathy in a patient with renal failure. Neurology. 2005;64:1276-1278.doi:10.1212/01.WNL.0000156805.45547.6E

  6. Sam AD II, Morasch MD, Collins J, et al. Safety of gadolinium contrast angiography in patients with chronic renal insufficiency. J Vasc Surg. 2003;38:313-318. doi:10.1016/s0741-5214(03)00315-x

  7. Schenker MP, Solomon JA, Roberts DA. Gadolinium arteriography complicated by acute pancreatitis and acute renal failure. J Vasc Interv Radiol. 2001;12:393. doi:10.1016/s1051-0443(07)61925-3

  8. Gemery J, Idelson B, Reid S, et al. Acute renal failure after arteriography with a gadolinium-based contrast agent. AJR Am J Roentgenol. 1998;171:1277-1278. doi:10.2214/ajr.171.5.9798860

  9. Akgun H, Gonlusen G, Cartwright J Jr, et al. Are gadolinium-based contrast media nephrotoxic? A renal biopsy study. Arch Pathol Lab Med. 2006;130:1354-1357. doi:10.5858/2006-130-1354-AGCMNA

  10. Gathings RM, Reddy R, Santa Cruz D, et al. Gadolinium-associated plaques: a new, distinctive clinical entity. JAMA Dermatol. 2015;151:316-319. doi:10.1001/jamadermatol.2014.2660

  11. McDonald RJ, McDonald JS, Kallmes DF, et al. Gadolinium deposition in human brain tissues after contrast-enhanced MR imaging in adult patients without intracranial abnormalities. Radiology. 2017;285(2):546-554. doi:10.1148/radiol.2017161595

  12. Kanda T, Ishii K, Kawaguchi H, et al. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology. 2014;270(3):834-841. doi:10.1148/radiol.13131669

  13. Schmidt K, Bau M, Merschel G, et al. Anthropogenic gadolinium in tap water and in tap water-based beverages from fast-food franchises in six major cities in Germany. Sci Total Environ. 2019;687:1401-1408. doi:10.1016/j.scitotenv.2019.07.075

  14. Kulaksız S, Bau M. Anthropogenic gadolinium as a microcontaminant in tap water used as drinking water in urban areas and megacities. Appl Geochem. 2011;26:1877-1885.

  15. Brunjes R, Hofmann T. Anthropogenic gadolinium in freshwater and drinking water systems. Water Res. 2020;182:115966. doi:10.1016/j.watres.2020.115966

  16. Endrikat J, Gutberlet M, Hoffmann KT, et al. Clinical safety of gadobutrol: review of over 25 years of use exceeding 100 million administrations. Invest Radiol. 2024;59(9):605-613. doi:10.1097/RLI.0000000000001072

  17. Elmholdt TR, Jørgensen B, Ramsing M, et al. Two cases of nephrogenic systemic fibrosis after exposure to the macrocyclic compound gadobutrol. NDT Plus. 2010;3(3):285-287. doi:10.1093/ndtplus/sfq028

  18. Cunningham A, Kirk M, Hong E, et al. The safety of magnetic resonance imaging contrast agents. Front Toxicol. 2024;6:1376587. doi:10.3389/ftox.2024.1376587

  19. Huxley A. Complete Essays. Volume II, 1926-1929. Chicago; 2000:227.

  20. McDonald RJ, Weinreb JC, Davenport MS. Symptoms associated with gadolinium exposure (SAGE): a suggested term. Radiology. 2022;302(2):270-273. doi:10.1148/radiol.2021211349

  21. Henderson IM, Benevidez AD, Mowry CD, et al. Precipitation of gadolinium from magnetic resonance imaging contrast agents may be the Brass tacks of toxicity. Magn Reson Imaging. 2025;119:110383. doi:10.1016/j.mri.2025.110383

  22. Do C, Drel V, Tan C, et al. Nephrogenic systemic fibrosis is mediated by myeloid C-C chemokine receptor 2. J Invest Dermatol. 2019;139(10):2134-2143. doi:10.1016/j.jid.2019.03.1145

  23. Drel VR, Tan C, Barnes JL, et al. Centrality of bone marrow in the severity of gadolinium-based contrast-induced systemic fibrosis. FASEB J. 2016;30(9):3026-3038. doi:10.1096/fj.201500188R

  24. Bruno F, DeAguero J, Do C, et al. Overlapping roles of NADPH oxidase 4 for diabetic and gadolinium-based contrast agent-induced systemic fibrosis. Am J Physiol Renal Physiol. 2021;320(4):F617-F627. doi:10.1152/ajprenal.00456.2020

  25. Wagner B, Tan C, Barnes JL, et al. Nephrogenic systemic fibrosis: evidence for oxidative stress and bone marrow-derived fibrocytes in skin, liver, and heart lesions using a 5/6 nephrectomy rodent model. Am J Pathol. 2012;181(6):1941-1952. doi:10.1016/j.ajpath.2012.08.026

  26. DeAguero J, Howard T, Kusewitt D, et al. The onset of rare earth metallosis begins with renal gadolinium-rich nanoparticles from magnetic resonance imaging contrast agent exposure. Sci Rep. 2023;13(1):2025. doi:10.1038/s41598-023-28666-1

  27. Do C, Ford B, Lee DY, et al. Gadolinium-based contrast agents: Stimulators of myeloid-induced renal fibrosis and major metabolic disruptors. Toxicol Appl Pharmacol. 2019;375:32-45. doi:10.1016/j.taap.2019.05.009

  28. Coyte RM, Darrah T, Olesik J, et al. Gadolinium during human pregnancy following administration of gadolinium chelate before pregnancy. Birth Defects Res. 2023;115(14):1264-1273. doi:10.1002/bdr2.2209

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Reticulated Hyperpigmentation on the Knee and Thigh

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Reticulated Hyperpigmentation on the Knee and Thigh

The patient was diagnosed with erythema ab igne based on characteristic skin findings on physical examination along with a convincing history of chronic localized heat exposure. Erythema ab igne manifests as a persistent reticulated, erythematous, or hyperpigmented rash at sites of chronic heat exposure.1 Commonplace items that emit heat such as electric heaters, car heaters, heating pads, hot water bottles, and, in our case, laptops also emit infrared radiation, which can lead to changes in the skin with long-term exposure.2 Because exposure to these sources often is limited to one area of the body, erythema ab igne usually manifests locally, as exemplified in this case. Chronic heat exposure and infrared radiation from these sources are thought to induce hyperthermia below the threshold for a thermal burn, and the cutaneous findings correspond with the dermal venous plexus.3

Diagnosis of erythema ab igne primarily is made clinically based on characteristic skin findings and exposure history. Relevant history may include occupations with prolonged heat exposure, such as baking, silversmithing, or foundry work. Heat exposure also may result from cultural practices such as cupping with moxibustion.4 Additionally, repeated use of heating pads or hot water bottles for pain relief by patients diagnosed with chronic pain or an underlying illness may contribute to development of erythema ab igne.1,4

Biopsy was not needed for diagnosis of this patient, but if the presentation is equivocal and history of potential exposures is unclear, a biopsy may be taken. A hematoxylin and eosin stain would reveal dilation of small vascular channels in the superficial dermis, contributing to the classic reticulated appearance. Biopsy findings also would reveal either an interface dermatitis or pigment incontinence containing melanin-laden macrophages correlating to either the erythema or hyperpigmentation, respectively.4

The prognosis for erythema ab igne is excellent, especially if diagnosed early. Treatment involves removal of the inciting heat source.1 The discoloration may resolve within a few months to years or may persist. If the hyperpigmentation is persistent, patients may consider laser treatments or lightening agents such as topical hydroquinone or topical tretinoin.4 However, if undiagnosed, patients may be at risk for development of a cutaneous malignancy, such as squamous cell carcinoma, Merkel cell carcinoma, poorly differentiated carcinoma, or cutaneous marginal zone lymphoma.2,4 Malignant transformation has been reported to occur decades after the initial skin eruption, although the risk is rare5; however, due to this risk, patients with erythema ab igne should be followed regularly and screened for new lesions in the affected areas.

References
  1. Tan S, Bertucci V. Erythema ab igne: an old condition new again. CMAJ. 2000;162:77-78.
  2. Miller K, Hunt R, Chu J, et al. Erythema ab igne. Dermatol Online J. 2011;17:28.
  3. Kesty K, Feldman SR. Erythema ab igne: evolving technology, evolving presentation. Dermatol Online J. 2014;20:13030.
  4. Harview CL, Krenitsky A. Erythema ab igne: a clinical review. Cutis. 2023;111:E33-E38. doi:10.12788/cutis.0771
  5. Wipf AJ, Brown MR. Malignant transformation of erythema ab igne. JAAD Case Rep. 2022;26:85-87. doi:10.1016/j.jdcr.2022.06.018
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From the Department of Dermatology, University of Mississippi Medical Center, Jackson.

The authors have no relevant financial disclosures to report.

Correspondence: Kyle Cagle, MD, University of Mississippi Medical Center, 2500 North State St, Jackson, MS 39216 (kcagle@umc.edu).

Cutis. 2025 November;116(5):E9-E10. doi:10.12788/cutis.1305

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The authors have no relevant financial disclosures to report.

Correspondence: Kyle Cagle, MD, University of Mississippi Medical Center, 2500 North State St, Jackson, MS 39216 (kcagle@umc.edu).

Cutis. 2025 November;116(5):E9-E10. doi:10.12788/cutis.1305

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The authors have no relevant financial disclosures to report.

Correspondence: Kyle Cagle, MD, University of Mississippi Medical Center, 2500 North State St, Jackson, MS 39216 (kcagle@umc.edu).

Cutis. 2025 November;116(5):E9-E10. doi:10.12788/cutis.1305

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The patient was diagnosed with erythema ab igne based on characteristic skin findings on physical examination along with a convincing history of chronic localized heat exposure. Erythema ab igne manifests as a persistent reticulated, erythematous, or hyperpigmented rash at sites of chronic heat exposure.1 Commonplace items that emit heat such as electric heaters, car heaters, heating pads, hot water bottles, and, in our case, laptops also emit infrared radiation, which can lead to changes in the skin with long-term exposure.2 Because exposure to these sources often is limited to one area of the body, erythema ab igne usually manifests locally, as exemplified in this case. Chronic heat exposure and infrared radiation from these sources are thought to induce hyperthermia below the threshold for a thermal burn, and the cutaneous findings correspond with the dermal venous plexus.3

Diagnosis of erythema ab igne primarily is made clinically based on characteristic skin findings and exposure history. Relevant history may include occupations with prolonged heat exposure, such as baking, silversmithing, or foundry work. Heat exposure also may result from cultural practices such as cupping with moxibustion.4 Additionally, repeated use of heating pads or hot water bottles for pain relief by patients diagnosed with chronic pain or an underlying illness may contribute to development of erythema ab igne.1,4

Biopsy was not needed for diagnosis of this patient, but if the presentation is equivocal and history of potential exposures is unclear, a biopsy may be taken. A hematoxylin and eosin stain would reveal dilation of small vascular channels in the superficial dermis, contributing to the classic reticulated appearance. Biopsy findings also would reveal either an interface dermatitis or pigment incontinence containing melanin-laden macrophages correlating to either the erythema or hyperpigmentation, respectively.4

The prognosis for erythema ab igne is excellent, especially if diagnosed early. Treatment involves removal of the inciting heat source.1 The discoloration may resolve within a few months to years or may persist. If the hyperpigmentation is persistent, patients may consider laser treatments or lightening agents such as topical hydroquinone or topical tretinoin.4 However, if undiagnosed, patients may be at risk for development of a cutaneous malignancy, such as squamous cell carcinoma, Merkel cell carcinoma, poorly differentiated carcinoma, or cutaneous marginal zone lymphoma.2,4 Malignant transformation has been reported to occur decades after the initial skin eruption, although the risk is rare5; however, due to this risk, patients with erythema ab igne should be followed regularly and screened for new lesions in the affected areas.

The patient was diagnosed with erythema ab igne based on characteristic skin findings on physical examination along with a convincing history of chronic localized heat exposure. Erythema ab igne manifests as a persistent reticulated, erythematous, or hyperpigmented rash at sites of chronic heat exposure.1 Commonplace items that emit heat such as electric heaters, car heaters, heating pads, hot water bottles, and, in our case, laptops also emit infrared radiation, which can lead to changes in the skin with long-term exposure.2 Because exposure to these sources often is limited to one area of the body, erythema ab igne usually manifests locally, as exemplified in this case. Chronic heat exposure and infrared radiation from these sources are thought to induce hyperthermia below the threshold for a thermal burn, and the cutaneous findings correspond with the dermal venous plexus.3

Diagnosis of erythema ab igne primarily is made clinically based on characteristic skin findings and exposure history. Relevant history may include occupations with prolonged heat exposure, such as baking, silversmithing, or foundry work. Heat exposure also may result from cultural practices such as cupping with moxibustion.4 Additionally, repeated use of heating pads or hot water bottles for pain relief by patients diagnosed with chronic pain or an underlying illness may contribute to development of erythema ab igne.1,4

Biopsy was not needed for diagnosis of this patient, but if the presentation is equivocal and history of potential exposures is unclear, a biopsy may be taken. A hematoxylin and eosin stain would reveal dilation of small vascular channels in the superficial dermis, contributing to the classic reticulated appearance. Biopsy findings also would reveal either an interface dermatitis or pigment incontinence containing melanin-laden macrophages correlating to either the erythema or hyperpigmentation, respectively.4

The prognosis for erythema ab igne is excellent, especially if diagnosed early. Treatment involves removal of the inciting heat source.1 The discoloration may resolve within a few months to years or may persist. If the hyperpigmentation is persistent, patients may consider laser treatments or lightening agents such as topical hydroquinone or topical tretinoin.4 However, if undiagnosed, patients may be at risk for development of a cutaneous malignancy, such as squamous cell carcinoma, Merkel cell carcinoma, poorly differentiated carcinoma, or cutaneous marginal zone lymphoma.2,4 Malignant transformation has been reported to occur decades after the initial skin eruption, although the risk is rare5; however, due to this risk, patients with erythema ab igne should be followed regularly and screened for new lesions in the affected areas.

References
  1. Tan S, Bertucci V. Erythema ab igne: an old condition new again. CMAJ. 2000;162:77-78.
  2. Miller K, Hunt R, Chu J, et al. Erythema ab igne. Dermatol Online J. 2011;17:28.
  3. Kesty K, Feldman SR. Erythema ab igne: evolving technology, evolving presentation. Dermatol Online J. 2014;20:13030.
  4. Harview CL, Krenitsky A. Erythema ab igne: a clinical review. Cutis. 2023;111:E33-E38. doi:10.12788/cutis.0771
  5. Wipf AJ, Brown MR. Malignant transformation of erythema ab igne. JAAD Case Rep. 2022;26:85-87. doi:10.1016/j.jdcr.2022.06.018
References
  1. Tan S, Bertucci V. Erythema ab igne: an old condition new again. CMAJ. 2000;162:77-78.
  2. Miller K, Hunt R, Chu J, et al. Erythema ab igne. Dermatol Online J. 2011;17:28.
  3. Kesty K, Feldman SR. Erythema ab igne: evolving technology, evolving presentation. Dermatol Online J. 2014;20:13030.
  4. Harview CL, Krenitsky A. Erythema ab igne: a clinical review. Cutis. 2023;111:E33-E38. doi:10.12788/cutis.0771
  5. Wipf AJ, Brown MR. Malignant transformation of erythema ab igne. JAAD Case Rep. 2022;26:85-87. doi:10.1016/j.jdcr.2022.06.018
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Reticulated Hyperpigmentation on the Knee and Thigh

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A 25-year-old woman with an unremarkable medical history presented to the dermatology clinic for evaluation of a persistent rash on the right knee and distal thigh of several months’ duration. The patient noted that the rash had been asymptomatic, and she denied any history of trauma to the area. She reported that she worked as a teacher and had repeatedly stayed up late using her laptop for months. Rather than use a desk, she often would work sitting with her laptop in her lap.

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LLMs Show High Accuracy in Extracting CRC Data From VA Health Records

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TOPLINE: Large Language Models (LLMs) achieve more than 95% accuracy in extracting colorectal cancer and dysplasia diagnoses from Veterans Health Administration (VHA) pathology reports, including patients with Million Veteran Program (MVP) genomic data. The validated approach using publicly available LLMs demonstrates excellent performance across both Inflammatory Bowel Disease (IBD) and non-IBD populations.

METHODOLOGY: 

Researchers analyzed 116,373 pathology reports generated in the VHA between 1999 and 2024, utilizing search term filtering followed by simple yes/no question prompts for identifying colorectal dysplasia, high-grade dysplasia and/or colorectal adenocarcinoma, and invasive colorectal cancer.

  • Results were compared to blinded manual chart review of 200 to 300 pathology reports for each patient cohort and diagnostic task, totaling 3,816 reviewed reports, to validate the LLM approach.

  • Validation was performed independently in IBD and non-IBD populations using Gemma-2 and Llama-3 LLMs without any task-specific training or fine-tuning.

  • Performance metrics included F1 scores, positive predictive value, negative predictive value, sensitivity, specificity, and Matthew's correlation coefficient to evaluate accuracy across different tasks.

TAKEAWAY:

  • In patients with IBD in the MVP, the LLM achieved (F1-score, 96.9%; 95% confidence interval [CI], 94.0%-99.6%) for identifying dysplasia, (F1-score, 93.7%; 95% CI, 88.2%-98.4%) for identifying high-grade dysplasia/colorectal cancer, and (F1-score, 98%; 95% CI, 96.3%-99.4%) for identifying colorectal cancer.

  • In non-IBD MVP patients, the LLM demonstrated (F1-score, 99.2%; 95% CI, 98.2%-100%) for identifying colorectal dysplasia, (F1-score, 96.5%; 95% CI, 93.0%-99.2%) for high-grade dysplasia/colorectal cancer, and (F1-score, 95%; 95% CI, 92.8%-97.2%) for identifying colorectal cancer.

  • Agreement between reviewers was excellent across tasks, with (Cohen's kappa, 89%-97%) for main tasks, and (Cohen's kappa, 78.1%-93.1%) for indefinite for dysplasia in IBD cohort.

  • The LLM approach maintained high accuracy when applied to full pathology reports, with (F1-score, 97.1%; 95% CI, 93.5%-100%) for dysplasia detection in IBD patients.

IN PRACTICE: We have shown that LLMs are powerful, potentially generalizable tools for accurately extracting important information from clinical semistructured and unstructured text and which require little human-led development.” the authors of the study wrote

SOURCE: The study was based on data from the Million Veteran Program and supported by the Office of Research and Development, Veterans Health Administration, and the US Department of Veterans Affairs Biomedical Laboratory. It was published online in BMJ Open Gastroenterology.

LIMITATIONS:  According to the authors, this research may be specific to the VHA system and the LLM models used. The authors did not test larger models. The authors acknowledge that without long-term access to graphics processing units, they could not feasibly test larger models, which may overcome some of the shortcomings seen in smaller models. Additionally, the researchers could not rule out overlap between Million Veteran Program and Corporate Data Warehouse reports, though they state that results in either cohort alone are sufficient validation compared with previously published work.

DISCLOSURES: The study was supported by Merit Review Award from the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service, AGA Research Foundation, National Institutes of Health grants, and the National Library of Medicine Training Grant. Kit Curtius reported receiving an investigator-led research grant from Phathom Pharmaceuticals. Shailja C Shah disclosed being a paid consultant for RedHill Biopharma and Phathom Pharmaceuticals, and an unpaid scientific advisory board member for Ilico Genetics, Inc.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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TOPLINE: Large Language Models (LLMs) achieve more than 95% accuracy in extracting colorectal cancer and dysplasia diagnoses from Veterans Health Administration (VHA) pathology reports, including patients with Million Veteran Program (MVP) genomic data. The validated approach using publicly available LLMs demonstrates excellent performance across both Inflammatory Bowel Disease (IBD) and non-IBD populations.

METHODOLOGY: 

Researchers analyzed 116,373 pathology reports generated in the VHA between 1999 and 2024, utilizing search term filtering followed by simple yes/no question prompts for identifying colorectal dysplasia, high-grade dysplasia and/or colorectal adenocarcinoma, and invasive colorectal cancer.

  • Results were compared to blinded manual chart review of 200 to 300 pathology reports for each patient cohort and diagnostic task, totaling 3,816 reviewed reports, to validate the LLM approach.

  • Validation was performed independently in IBD and non-IBD populations using Gemma-2 and Llama-3 LLMs without any task-specific training or fine-tuning.

  • Performance metrics included F1 scores, positive predictive value, negative predictive value, sensitivity, specificity, and Matthew's correlation coefficient to evaluate accuracy across different tasks.

TAKEAWAY:

  • In patients with IBD in the MVP, the LLM achieved (F1-score, 96.9%; 95% confidence interval [CI], 94.0%-99.6%) for identifying dysplasia, (F1-score, 93.7%; 95% CI, 88.2%-98.4%) for identifying high-grade dysplasia/colorectal cancer, and (F1-score, 98%; 95% CI, 96.3%-99.4%) for identifying colorectal cancer.

  • In non-IBD MVP patients, the LLM demonstrated (F1-score, 99.2%; 95% CI, 98.2%-100%) for identifying colorectal dysplasia, (F1-score, 96.5%; 95% CI, 93.0%-99.2%) for high-grade dysplasia/colorectal cancer, and (F1-score, 95%; 95% CI, 92.8%-97.2%) for identifying colorectal cancer.

  • Agreement between reviewers was excellent across tasks, with (Cohen's kappa, 89%-97%) for main tasks, and (Cohen's kappa, 78.1%-93.1%) for indefinite for dysplasia in IBD cohort.

  • The LLM approach maintained high accuracy when applied to full pathology reports, with (F1-score, 97.1%; 95% CI, 93.5%-100%) for dysplasia detection in IBD patients.

IN PRACTICE: We have shown that LLMs are powerful, potentially generalizable tools for accurately extracting important information from clinical semistructured and unstructured text and which require little human-led development.” the authors of the study wrote

SOURCE: The study was based on data from the Million Veteran Program and supported by the Office of Research and Development, Veterans Health Administration, and the US Department of Veterans Affairs Biomedical Laboratory. It was published online in BMJ Open Gastroenterology.

LIMITATIONS:  According to the authors, this research may be specific to the VHA system and the LLM models used. The authors did not test larger models. The authors acknowledge that without long-term access to graphics processing units, they could not feasibly test larger models, which may overcome some of the shortcomings seen in smaller models. Additionally, the researchers could not rule out overlap between Million Veteran Program and Corporate Data Warehouse reports, though they state that results in either cohort alone are sufficient validation compared with previously published work.

DISCLOSURES: The study was supported by Merit Review Award from the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service, AGA Research Foundation, National Institutes of Health grants, and the National Library of Medicine Training Grant. Kit Curtius reported receiving an investigator-led research grant from Phathom Pharmaceuticals. Shailja C Shah disclosed being a paid consultant for RedHill Biopharma and Phathom Pharmaceuticals, and an unpaid scientific advisory board member for Ilico Genetics, Inc.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

TOPLINE: Large Language Models (LLMs) achieve more than 95% accuracy in extracting colorectal cancer and dysplasia diagnoses from Veterans Health Administration (VHA) pathology reports, including patients with Million Veteran Program (MVP) genomic data. The validated approach using publicly available LLMs demonstrates excellent performance across both Inflammatory Bowel Disease (IBD) and non-IBD populations.

METHODOLOGY: 

Researchers analyzed 116,373 pathology reports generated in the VHA between 1999 and 2024, utilizing search term filtering followed by simple yes/no question prompts for identifying colorectal dysplasia, high-grade dysplasia and/or colorectal adenocarcinoma, and invasive colorectal cancer.

  • Results were compared to blinded manual chart review of 200 to 300 pathology reports for each patient cohort and diagnostic task, totaling 3,816 reviewed reports, to validate the LLM approach.

  • Validation was performed independently in IBD and non-IBD populations using Gemma-2 and Llama-3 LLMs without any task-specific training or fine-tuning.

  • Performance metrics included F1 scores, positive predictive value, negative predictive value, sensitivity, specificity, and Matthew's correlation coefficient to evaluate accuracy across different tasks.

TAKEAWAY:

  • In patients with IBD in the MVP, the LLM achieved (F1-score, 96.9%; 95% confidence interval [CI], 94.0%-99.6%) for identifying dysplasia, (F1-score, 93.7%; 95% CI, 88.2%-98.4%) for identifying high-grade dysplasia/colorectal cancer, and (F1-score, 98%; 95% CI, 96.3%-99.4%) for identifying colorectal cancer.

  • In non-IBD MVP patients, the LLM demonstrated (F1-score, 99.2%; 95% CI, 98.2%-100%) for identifying colorectal dysplasia, (F1-score, 96.5%; 95% CI, 93.0%-99.2%) for high-grade dysplasia/colorectal cancer, and (F1-score, 95%; 95% CI, 92.8%-97.2%) for identifying colorectal cancer.

  • Agreement between reviewers was excellent across tasks, with (Cohen's kappa, 89%-97%) for main tasks, and (Cohen's kappa, 78.1%-93.1%) for indefinite for dysplasia in IBD cohort.

  • The LLM approach maintained high accuracy when applied to full pathology reports, with (F1-score, 97.1%; 95% CI, 93.5%-100%) for dysplasia detection in IBD patients.

IN PRACTICE: We have shown that LLMs are powerful, potentially generalizable tools for accurately extracting important information from clinical semistructured and unstructured text and which require little human-led development.” the authors of the study wrote

SOURCE: The study was based on data from the Million Veteran Program and supported by the Office of Research and Development, Veterans Health Administration, and the US Department of Veterans Affairs Biomedical Laboratory. It was published online in BMJ Open Gastroenterology.

LIMITATIONS:  According to the authors, this research may be specific to the VHA system and the LLM models used. The authors did not test larger models. The authors acknowledge that without long-term access to graphics processing units, they could not feasibly test larger models, which may overcome some of the shortcomings seen in smaller models. Additionally, the researchers could not rule out overlap between Million Veteran Program and Corporate Data Warehouse reports, though they state that results in either cohort alone are sufficient validation compared with previously published work.

DISCLOSURES: The study was supported by Merit Review Award from the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service, AGA Research Foundation, National Institutes of Health grants, and the National Library of Medicine Training Grant. Kit Curtius reported receiving an investigator-led research grant from Phathom Pharmaceuticals. Shailja C Shah disclosed being a paid consultant for RedHill Biopharma and Phathom Pharmaceuticals, and an unpaid scientific advisory board member for Ilico Genetics, Inc.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

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Atrophic Areas on the Axillary and Anogenital Anatomy

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Discussion

A diagnosis of lichen sclerosus (LS) was made based on clinical and dermoscopic features, followed by confirmation with histology. The patient’s presentation included typical signs and symptoms of LS: itching, burning, intermittent bleeding, perianal hemorrhage, fusion of the clitoral head, and fissures. Other presentations can include dyspareunia, erosions, and excoriations; however, these symptoms and signs were not reported or seen in this patient.

LS typically affects the anogenital region and has 2 peak incidences: in preadolescent teens and during the fifth to sixth decade of life.1 This patient presented with a case of extragenital LS, which is less common than the classic presentation of LS that affects the genitals. This variant’s epidemiology differs, as it is less common in children and more common in postmenopausal women.2 Extragenital LS presents as white, atrophic plaques with a predilection for sites including the trunk, breasts, upper arms, and sites of physical trauma, with symptoms of dryness and pruritus. Over time, the papules can coalesce and form ivory, scar-like papules or plaques with a wrinkled surface. In advanced stages, telangiectasia or follicular plugging can be present, along with flattening of the dermal-epidermal junction. This flat interface is fragile and can result in bullae that may become hemorrhagic.

Cutaneous squamous cell carcinoma (SCC) may infrequently arise from LS, similar to other chronic inflammatory dermatoses.3 Lichen planus is typically not associated with an increased risk of SCC, except in the oral and hypertrophic variants. However, LS may be considered a premalignant process, and many vulvar SCC cases are noted to have adjacent LS lesions.3

Autoimmune and genetic factors contribute to the pathogenesis of LS. Extracellular matrix protein 1 (ECM1) binds molecules of the basement membrane zone and dermis, contributing to the structure and integrity of skin. Autoantibodies against ECM1 and other antigens of the basement membrane zone, including BP180 and BP320, were found in LS.2 HLA-DQ7 major histocompatibility complex class II antigens have been associated with LS.1

On histologic examination, the epidermis of LS is atrophic with hyperkeratosis. The dermis shows homogenization and sclerosis of superficial collagen with a band-like lymphocytic infiltrate below the sclerosis. The basal layer is thickened, showing basal cell vacuolization and hydropic degeneration.4

First-line treatment for genital and extragenital variants of LS is high-potency topical steroids for 3 months or until the skin texture and color resolve (ie, clobetasol 0.05% cream or ointment). The second-line treatment is a topical calcineurin inhibitor. These treatments are used for management. They are not cures for LS, as relapse is possible after the initial treatment course is completed. Adverse effects of high potency topical steroids are skin burning, skin atrophy, and fragility, telangiectasia. The adverse effects of topical calcineurin inhibitors are stinging and burning on application.

Other Diagnostic Considerations

Inverse psoriasis (IP) is a variant of psoriasis that presents as erythematous, well-demarcated plaques with minimal scale in intertriginous areas and flexural surfaces. Localized dermatophyte, candidal, or bacterial infections can trigger IP.5 It occurs in about 3% to 7% of patients with plaque psoriasis and is thought to form due to koebnerization via mechanical friction of flexural zones.6 The patient described in this case did not have IP because IP would be more likely to present as a well-demarcated erythematous plaque rather than a patch.

Histologically, IP shows regular psoriasiform acanthosis and hypogranulosis of the epidermis, Munro microabscess, spongiform pustules of Kogoj, dilated tortuous dermal vessels, and thinning of the suprapapillary plates.5

Lichen planus pigmentosus-inversus (LPPI) is also known as lichen planus pigmentosus—intertriginous variant. This variant of lichen planus pigmentosus presents as multiple gray to dark brown macules and patches with poorly defined borders in a linear distribution limited to intertriginous areas, flexural surfaces, or following the lines of Blaschko.7 About 20% of cases present with frontal fibrosing alopecia. It is most common in individuals with intermediate and darker skin pigmentation, has a higher prevalence in females, and typically occurs within the third and fifth decades of life. Friction is a common trigger of LPPI.7 A diagnosis of LPPI is incorrect because the lesions would present as gray to dark brown macules, as opposed to the shiny white atrophic thin papules with surrounding pink and purple patches seen in this case.

Histologically, while both LS and LPPI share band-like lymphocytic infiltrate and basal cell vacuolization, findings in the dermis differ. LPPI shows melanophages and prominent melanin incontinence, while LS shows homogenization and sclerosis of superficial collagen.1,8 LPPI also shows absence of compensatory keratinocyte proliferation.

Morphea is an inflammatory disease that affects the dermis and subcutaneous fat, resulting in sclerosis that appears scarlike. Its prevalence increases with age and has a 4:1 prevalence in females, with the plaque type being the most common variant. 9 The typical presentation of plaque-type morphea is an insidious onset of asymptomatic, slightly elevated, erythematous or violaceous, slightly edematous plaques with centrifugal expansion. The center of the plaque may become sclerotic and indurated, acquiring a shiny white color with a peripheral “lilac” ring. Trunk and upper extremity involvement is common. Morphea is associated with increased antisingle-stranded DNA, antitopoisomerase IIa, antiphospholipid, antifibrillin-1, and antihistone antibodies. Triggers of morphea are believed to be localized insults to the skin, including mechanical trauma, injections, vaccinations, and irradiation.9 This answer is incorrect because the patient’s lesions were pruritic and had genital involvement, which are not typical of morphea. Morphea can be differentiated with based on symptoms (lack of pruritus, pain, burning), morphology of lesions (induration versus atrophy), dermoscopy (fibrotic beams with less scale and hemorrhage vs keratotic follicular plugs), and histopathology (depth of inflammation in superficial and deep dermis).

Histology of morphea can differ based on the stage, whether the lesion is sampled in the inflammatory margin or central sclerosis, and the depth of affected skin. At the inflammatory margin, vascular changes, including endothelial swelling and edema, are present, as well as CD4+ T cells, eosinophils, plasma cells, and mast cells surrounding smaller blood vessels. In late stages, the inflammatory infiltrate is no longer present, the epidermis appears regular, and there is a flattened dermal-epidermal junction. Distinct features include homogenous collagen bundles that replace many dermal structures, with atrophic eccrine glands that appear “trapped” in the thickened dermis, and homogenized and hyalinized subcutis.9

Mycosis fungoides (MF) is the most common type of cutaneous T-cell lymphoma and presents as annular, erythematous or hypopigmented patches and plaques with fine scale and tumors on the buttocks and sun-protected areas of the limbs and trunk. Lesions can appear with prominent poikiloderma or atrophic or lichenified skin.10 It is most common in males of African descent aged 50 to 55 years. The etiology is largely unknown but believed to be multifactorial. This answer is incorrect because the lesions in this patient appeared more atrophic, were less well demarcated, and lacked the scale that would be present in MF.

On histology, both LS and MF show band-like lymphocytic infiltrate, however MF lacks the homogenization and sclerosis of superficial collagen that is present in the dermis of LS. Also, MF demonstrates epidermotropism of atypical lymphocytes forming Pautrier microabscess.10

Primary Care Role

Primary care physicians can diagnose and treat LS. Referral to dermatology is not mandatory. Note that topical steroids can be used daily for up to 12 weeks. In LS, early treatment is associated with improved outcomes and minimizes the risk of irreversible skin changes.11 Follow-up during the treatment period is recommended to monitor subjective and objective response to treatment. Follow-up after the initial treatment is recommended since LS is typically chronic, can relapse, and SCC can infrequently arise from LS lesions.11

References
  1. Tran DA, Tan X, Macri CJ, Goldstein AT, Fu SW. Lichen sclerosus: an autoimmunopathogenic and genomic enigma with emerging genetic and immune targets. Int J Biol Sci. 2019;15:1429-1439. doi:10.7150/ijbs.34613
  2. De Luca DA, Papara C, Vorobyev A, et al. Lichen sclerosus: the 2023 update. Front Med (Lausanne). 2023;10:1106318. doi:10.3389/fmed.2023.1106318
  3. Kuraitis D, Murina A. Squamous cell carcinoma arising in chronic inflammatory dermatoses. Cutis. 2024;113:29-34. doi:10.12788/cutis.0914
  4. Gaertner E, Elstein W. Lichen planus pigmentosus-inversus: case report and review of an unusual entity. Dermatol Online J. 2012;18:11.
  5. Micali G, Verzì AE, Giuffrida G, et al. Inverse psoriasis: from diagnosis to current treatment options. Clin Cosmet Investig Dermatol. 2019;12:953-959. doi:10.2147/CCID.S189000
  6. Syed ZU, Khachemoune A. Inverse psoriasis: case presentation and review. Am J Clin Dermatol. 2011;12:143-146. doi:10.2165/11532060-000000000-00000
  7. Robles-Méndez JC, Rizo-Frías P, Herz-Ruelas ME, et al. Lichen planus pigmentosus and its variants: review and update. Int J Dermatol. 2018;57:505-514. doi:10.1111/ijd.13806
  8. Vinay K, Kumar S, Bishnoi A, et al. A clinico-demographic study of 344 patients with lichen planus pigmentosus seen in a tertiary care center in India over an 8-year period. Int J Dermatol. 2020;59:245-252. doi:10.1111/ijd.14540
  9. Papara C, De Luca DA, Bieber K, et al. Morphea: the 2023 update. Front Med (Lausanne). 2023;10:1108623. doi:10.3389/fmed.2023.1108623
  10. Zinzani PL, Ferreri AJ, Cerroni L. Mycosis fungoides. Cri t Rev Oncol Hematol. 2008;65:172-182. doi:10.1016/j.critrevonc.2007.08.004
  11. Lee A, Bradford J, Fischer G. Long-term management of adult vulvar lichen sclerosus: a prospective cohort study of 507 women. JAMA Dermatol. 2015;151(10):1061-1067. doi:10.1001/jamadermatol.2015.0643
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Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Evan Mak (evan.mak@usuhs.edu)

Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0653

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Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Evan Mak (evan.mak@usuhs.edu)

Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0653

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Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Evan Mak (evan.mak@usuhs.edu)

Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0653

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Discussion

A diagnosis of lichen sclerosus (LS) was made based on clinical and dermoscopic features, followed by confirmation with histology. The patient’s presentation included typical signs and symptoms of LS: itching, burning, intermittent bleeding, perianal hemorrhage, fusion of the clitoral head, and fissures. Other presentations can include dyspareunia, erosions, and excoriations; however, these symptoms and signs were not reported or seen in this patient.

LS typically affects the anogenital region and has 2 peak incidences: in preadolescent teens and during the fifth to sixth decade of life.1 This patient presented with a case of extragenital LS, which is less common than the classic presentation of LS that affects the genitals. This variant’s epidemiology differs, as it is less common in children and more common in postmenopausal women.2 Extragenital LS presents as white, atrophic plaques with a predilection for sites including the trunk, breasts, upper arms, and sites of physical trauma, with symptoms of dryness and pruritus. Over time, the papules can coalesce and form ivory, scar-like papules or plaques with a wrinkled surface. In advanced stages, telangiectasia or follicular plugging can be present, along with flattening of the dermal-epidermal junction. This flat interface is fragile and can result in bullae that may become hemorrhagic.

Cutaneous squamous cell carcinoma (SCC) may infrequently arise from LS, similar to other chronic inflammatory dermatoses.3 Lichen planus is typically not associated with an increased risk of SCC, except in the oral and hypertrophic variants. However, LS may be considered a premalignant process, and many vulvar SCC cases are noted to have adjacent LS lesions.3

Autoimmune and genetic factors contribute to the pathogenesis of LS. Extracellular matrix protein 1 (ECM1) binds molecules of the basement membrane zone and dermis, contributing to the structure and integrity of skin. Autoantibodies against ECM1 and other antigens of the basement membrane zone, including BP180 and BP320, were found in LS.2 HLA-DQ7 major histocompatibility complex class II antigens have been associated with LS.1

On histologic examination, the epidermis of LS is atrophic with hyperkeratosis. The dermis shows homogenization and sclerosis of superficial collagen with a band-like lymphocytic infiltrate below the sclerosis. The basal layer is thickened, showing basal cell vacuolization and hydropic degeneration.4

First-line treatment for genital and extragenital variants of LS is high-potency topical steroids for 3 months or until the skin texture and color resolve (ie, clobetasol 0.05% cream or ointment). The second-line treatment is a topical calcineurin inhibitor. These treatments are used for management. They are not cures for LS, as relapse is possible after the initial treatment course is completed. Adverse effects of high potency topical steroids are skin burning, skin atrophy, and fragility, telangiectasia. The adverse effects of topical calcineurin inhibitors are stinging and burning on application.

Other Diagnostic Considerations

Inverse psoriasis (IP) is a variant of psoriasis that presents as erythematous, well-demarcated plaques with minimal scale in intertriginous areas and flexural surfaces. Localized dermatophyte, candidal, or bacterial infections can trigger IP.5 It occurs in about 3% to 7% of patients with plaque psoriasis and is thought to form due to koebnerization via mechanical friction of flexural zones.6 The patient described in this case did not have IP because IP would be more likely to present as a well-demarcated erythematous plaque rather than a patch.

Histologically, IP shows regular psoriasiform acanthosis and hypogranulosis of the epidermis, Munro microabscess, spongiform pustules of Kogoj, dilated tortuous dermal vessels, and thinning of the suprapapillary plates.5

Lichen planus pigmentosus-inversus (LPPI) is also known as lichen planus pigmentosus—intertriginous variant. This variant of lichen planus pigmentosus presents as multiple gray to dark brown macules and patches with poorly defined borders in a linear distribution limited to intertriginous areas, flexural surfaces, or following the lines of Blaschko.7 About 20% of cases present with frontal fibrosing alopecia. It is most common in individuals with intermediate and darker skin pigmentation, has a higher prevalence in females, and typically occurs within the third and fifth decades of life. Friction is a common trigger of LPPI.7 A diagnosis of LPPI is incorrect because the lesions would present as gray to dark brown macules, as opposed to the shiny white atrophic thin papules with surrounding pink and purple patches seen in this case.

Histologically, while both LS and LPPI share band-like lymphocytic infiltrate and basal cell vacuolization, findings in the dermis differ. LPPI shows melanophages and prominent melanin incontinence, while LS shows homogenization and sclerosis of superficial collagen.1,8 LPPI also shows absence of compensatory keratinocyte proliferation.

Morphea is an inflammatory disease that affects the dermis and subcutaneous fat, resulting in sclerosis that appears scarlike. Its prevalence increases with age and has a 4:1 prevalence in females, with the plaque type being the most common variant. 9 The typical presentation of plaque-type morphea is an insidious onset of asymptomatic, slightly elevated, erythematous or violaceous, slightly edematous plaques with centrifugal expansion. The center of the plaque may become sclerotic and indurated, acquiring a shiny white color with a peripheral “lilac” ring. Trunk and upper extremity involvement is common. Morphea is associated with increased antisingle-stranded DNA, antitopoisomerase IIa, antiphospholipid, antifibrillin-1, and antihistone antibodies. Triggers of morphea are believed to be localized insults to the skin, including mechanical trauma, injections, vaccinations, and irradiation.9 This answer is incorrect because the patient’s lesions were pruritic and had genital involvement, which are not typical of morphea. Morphea can be differentiated with based on symptoms (lack of pruritus, pain, burning), morphology of lesions (induration versus atrophy), dermoscopy (fibrotic beams with less scale and hemorrhage vs keratotic follicular plugs), and histopathology (depth of inflammation in superficial and deep dermis).

Histology of morphea can differ based on the stage, whether the lesion is sampled in the inflammatory margin or central sclerosis, and the depth of affected skin. At the inflammatory margin, vascular changes, including endothelial swelling and edema, are present, as well as CD4+ T cells, eosinophils, plasma cells, and mast cells surrounding smaller blood vessels. In late stages, the inflammatory infiltrate is no longer present, the epidermis appears regular, and there is a flattened dermal-epidermal junction. Distinct features include homogenous collagen bundles that replace many dermal structures, with atrophic eccrine glands that appear “trapped” in the thickened dermis, and homogenized and hyalinized subcutis.9

Mycosis fungoides (MF) is the most common type of cutaneous T-cell lymphoma and presents as annular, erythematous or hypopigmented patches and plaques with fine scale and tumors on the buttocks and sun-protected areas of the limbs and trunk. Lesions can appear with prominent poikiloderma or atrophic or lichenified skin.10 It is most common in males of African descent aged 50 to 55 years. The etiology is largely unknown but believed to be multifactorial. This answer is incorrect because the lesions in this patient appeared more atrophic, were less well demarcated, and lacked the scale that would be present in MF.

On histology, both LS and MF show band-like lymphocytic infiltrate, however MF lacks the homogenization and sclerosis of superficial collagen that is present in the dermis of LS. Also, MF demonstrates epidermotropism of atypical lymphocytes forming Pautrier microabscess.10

Primary Care Role

Primary care physicians can diagnose and treat LS. Referral to dermatology is not mandatory. Note that topical steroids can be used daily for up to 12 weeks. In LS, early treatment is associated with improved outcomes and minimizes the risk of irreversible skin changes.11 Follow-up during the treatment period is recommended to monitor subjective and objective response to treatment. Follow-up after the initial treatment is recommended since LS is typically chronic, can relapse, and SCC can infrequently arise from LS lesions.11

Discussion

A diagnosis of lichen sclerosus (LS) was made based on clinical and dermoscopic features, followed by confirmation with histology. The patient’s presentation included typical signs and symptoms of LS: itching, burning, intermittent bleeding, perianal hemorrhage, fusion of the clitoral head, and fissures. Other presentations can include dyspareunia, erosions, and excoriations; however, these symptoms and signs were not reported or seen in this patient.

LS typically affects the anogenital region and has 2 peak incidences: in preadolescent teens and during the fifth to sixth decade of life.1 This patient presented with a case of extragenital LS, which is less common than the classic presentation of LS that affects the genitals. This variant’s epidemiology differs, as it is less common in children and more common in postmenopausal women.2 Extragenital LS presents as white, atrophic plaques with a predilection for sites including the trunk, breasts, upper arms, and sites of physical trauma, with symptoms of dryness and pruritus. Over time, the papules can coalesce and form ivory, scar-like papules or plaques with a wrinkled surface. In advanced stages, telangiectasia or follicular plugging can be present, along with flattening of the dermal-epidermal junction. This flat interface is fragile and can result in bullae that may become hemorrhagic.

Cutaneous squamous cell carcinoma (SCC) may infrequently arise from LS, similar to other chronic inflammatory dermatoses.3 Lichen planus is typically not associated with an increased risk of SCC, except in the oral and hypertrophic variants. However, LS may be considered a premalignant process, and many vulvar SCC cases are noted to have adjacent LS lesions.3

Autoimmune and genetic factors contribute to the pathogenesis of LS. Extracellular matrix protein 1 (ECM1) binds molecules of the basement membrane zone and dermis, contributing to the structure and integrity of skin. Autoantibodies against ECM1 and other antigens of the basement membrane zone, including BP180 and BP320, were found in LS.2 HLA-DQ7 major histocompatibility complex class II antigens have been associated with LS.1

On histologic examination, the epidermis of LS is atrophic with hyperkeratosis. The dermis shows homogenization and sclerosis of superficial collagen with a band-like lymphocytic infiltrate below the sclerosis. The basal layer is thickened, showing basal cell vacuolization and hydropic degeneration.4

First-line treatment for genital and extragenital variants of LS is high-potency topical steroids for 3 months or until the skin texture and color resolve (ie, clobetasol 0.05% cream or ointment). The second-line treatment is a topical calcineurin inhibitor. These treatments are used for management. They are not cures for LS, as relapse is possible after the initial treatment course is completed. Adverse effects of high potency topical steroids are skin burning, skin atrophy, and fragility, telangiectasia. The adverse effects of topical calcineurin inhibitors are stinging and burning on application.

Other Diagnostic Considerations

Inverse psoriasis (IP) is a variant of psoriasis that presents as erythematous, well-demarcated plaques with minimal scale in intertriginous areas and flexural surfaces. Localized dermatophyte, candidal, or bacterial infections can trigger IP.5 It occurs in about 3% to 7% of patients with plaque psoriasis and is thought to form due to koebnerization via mechanical friction of flexural zones.6 The patient described in this case did not have IP because IP would be more likely to present as a well-demarcated erythematous plaque rather than a patch.

Histologically, IP shows regular psoriasiform acanthosis and hypogranulosis of the epidermis, Munro microabscess, spongiform pustules of Kogoj, dilated tortuous dermal vessels, and thinning of the suprapapillary plates.5

Lichen planus pigmentosus-inversus (LPPI) is also known as lichen planus pigmentosus—intertriginous variant. This variant of lichen planus pigmentosus presents as multiple gray to dark brown macules and patches with poorly defined borders in a linear distribution limited to intertriginous areas, flexural surfaces, or following the lines of Blaschko.7 About 20% of cases present with frontal fibrosing alopecia. It is most common in individuals with intermediate and darker skin pigmentation, has a higher prevalence in females, and typically occurs within the third and fifth decades of life. Friction is a common trigger of LPPI.7 A diagnosis of LPPI is incorrect because the lesions would present as gray to dark brown macules, as opposed to the shiny white atrophic thin papules with surrounding pink and purple patches seen in this case.

Histologically, while both LS and LPPI share band-like lymphocytic infiltrate and basal cell vacuolization, findings in the dermis differ. LPPI shows melanophages and prominent melanin incontinence, while LS shows homogenization and sclerosis of superficial collagen.1,8 LPPI also shows absence of compensatory keratinocyte proliferation.

Morphea is an inflammatory disease that affects the dermis and subcutaneous fat, resulting in sclerosis that appears scarlike. Its prevalence increases with age and has a 4:1 prevalence in females, with the plaque type being the most common variant. 9 The typical presentation of plaque-type morphea is an insidious onset of asymptomatic, slightly elevated, erythematous or violaceous, slightly edematous plaques with centrifugal expansion. The center of the plaque may become sclerotic and indurated, acquiring a shiny white color with a peripheral “lilac” ring. Trunk and upper extremity involvement is common. Morphea is associated with increased antisingle-stranded DNA, antitopoisomerase IIa, antiphospholipid, antifibrillin-1, and antihistone antibodies. Triggers of morphea are believed to be localized insults to the skin, including mechanical trauma, injections, vaccinations, and irradiation.9 This answer is incorrect because the patient’s lesions were pruritic and had genital involvement, which are not typical of morphea. Morphea can be differentiated with based on symptoms (lack of pruritus, pain, burning), morphology of lesions (induration versus atrophy), dermoscopy (fibrotic beams with less scale and hemorrhage vs keratotic follicular plugs), and histopathology (depth of inflammation in superficial and deep dermis).

Histology of morphea can differ based on the stage, whether the lesion is sampled in the inflammatory margin or central sclerosis, and the depth of affected skin. At the inflammatory margin, vascular changes, including endothelial swelling and edema, are present, as well as CD4+ T cells, eosinophils, plasma cells, and mast cells surrounding smaller blood vessels. In late stages, the inflammatory infiltrate is no longer present, the epidermis appears regular, and there is a flattened dermal-epidermal junction. Distinct features include homogenous collagen bundles that replace many dermal structures, with atrophic eccrine glands that appear “trapped” in the thickened dermis, and homogenized and hyalinized subcutis.9

Mycosis fungoides (MF) is the most common type of cutaneous T-cell lymphoma and presents as annular, erythematous or hypopigmented patches and plaques with fine scale and tumors on the buttocks and sun-protected areas of the limbs and trunk. Lesions can appear with prominent poikiloderma or atrophic or lichenified skin.10 It is most common in males of African descent aged 50 to 55 years. The etiology is largely unknown but believed to be multifactorial. This answer is incorrect because the lesions in this patient appeared more atrophic, were less well demarcated, and lacked the scale that would be present in MF.

On histology, both LS and MF show band-like lymphocytic infiltrate, however MF lacks the homogenization and sclerosis of superficial collagen that is present in the dermis of LS. Also, MF demonstrates epidermotropism of atypical lymphocytes forming Pautrier microabscess.10

Primary Care Role

Primary care physicians can diagnose and treat LS. Referral to dermatology is not mandatory. Note that topical steroids can be used daily for up to 12 weeks. In LS, early treatment is associated with improved outcomes and minimizes the risk of irreversible skin changes.11 Follow-up during the treatment period is recommended to monitor subjective and objective response to treatment. Follow-up after the initial treatment is recommended since LS is typically chronic, can relapse, and SCC can infrequently arise from LS lesions.11

References
  1. Tran DA, Tan X, Macri CJ, Goldstein AT, Fu SW. Lichen sclerosus: an autoimmunopathogenic and genomic enigma with emerging genetic and immune targets. Int J Biol Sci. 2019;15:1429-1439. doi:10.7150/ijbs.34613
  2. De Luca DA, Papara C, Vorobyev A, et al. Lichen sclerosus: the 2023 update. Front Med (Lausanne). 2023;10:1106318. doi:10.3389/fmed.2023.1106318
  3. Kuraitis D, Murina A. Squamous cell carcinoma arising in chronic inflammatory dermatoses. Cutis. 2024;113:29-34. doi:10.12788/cutis.0914
  4. Gaertner E, Elstein W. Lichen planus pigmentosus-inversus: case report and review of an unusual entity. Dermatol Online J. 2012;18:11.
  5. Micali G, Verzì AE, Giuffrida G, et al. Inverse psoriasis: from diagnosis to current treatment options. Clin Cosmet Investig Dermatol. 2019;12:953-959. doi:10.2147/CCID.S189000
  6. Syed ZU, Khachemoune A. Inverse psoriasis: case presentation and review. Am J Clin Dermatol. 2011;12:143-146. doi:10.2165/11532060-000000000-00000
  7. Robles-Méndez JC, Rizo-Frías P, Herz-Ruelas ME, et al. Lichen planus pigmentosus and its variants: review and update. Int J Dermatol. 2018;57:505-514. doi:10.1111/ijd.13806
  8. Vinay K, Kumar S, Bishnoi A, et al. A clinico-demographic study of 344 patients with lichen planus pigmentosus seen in a tertiary care center in India over an 8-year period. Int J Dermatol. 2020;59:245-252. doi:10.1111/ijd.14540
  9. Papara C, De Luca DA, Bieber K, et al. Morphea: the 2023 update. Front Med (Lausanne). 2023;10:1108623. doi:10.3389/fmed.2023.1108623
  10. Zinzani PL, Ferreri AJ, Cerroni L. Mycosis fungoides. Cri t Rev Oncol Hematol. 2008;65:172-182. doi:10.1016/j.critrevonc.2007.08.004
  11. Lee A, Bradford J, Fischer G. Long-term management of adult vulvar lichen sclerosus: a prospective cohort study of 507 women. JAMA Dermatol. 2015;151(10):1061-1067. doi:10.1001/jamadermatol.2015.0643
References
  1. Tran DA, Tan X, Macri CJ, Goldstein AT, Fu SW. Lichen sclerosus: an autoimmunopathogenic and genomic enigma with emerging genetic and immune targets. Int J Biol Sci. 2019;15:1429-1439. doi:10.7150/ijbs.34613
  2. De Luca DA, Papara C, Vorobyev A, et al. Lichen sclerosus: the 2023 update. Front Med (Lausanne). 2023;10:1106318. doi:10.3389/fmed.2023.1106318
  3. Kuraitis D, Murina A. Squamous cell carcinoma arising in chronic inflammatory dermatoses. Cutis. 2024;113:29-34. doi:10.12788/cutis.0914
  4. Gaertner E, Elstein W. Lichen planus pigmentosus-inversus: case report and review of an unusual entity. Dermatol Online J. 2012;18:11.
  5. Micali G, Verzì AE, Giuffrida G, et al. Inverse psoriasis: from diagnosis to current treatment options. Clin Cosmet Investig Dermatol. 2019;12:953-959. doi:10.2147/CCID.S189000
  6. Syed ZU, Khachemoune A. Inverse psoriasis: case presentation and review. Am J Clin Dermatol. 2011;12:143-146. doi:10.2165/11532060-000000000-00000
  7. Robles-Méndez JC, Rizo-Frías P, Herz-Ruelas ME, et al. Lichen planus pigmentosus and its variants: review and update. Int J Dermatol. 2018;57:505-514. doi:10.1111/ijd.13806
  8. Vinay K, Kumar S, Bishnoi A, et al. A clinico-demographic study of 344 patients with lichen planus pigmentosus seen in a tertiary care center in India over an 8-year period. Int J Dermatol. 2020;59:245-252. doi:10.1111/ijd.14540
  9. Papara C, De Luca DA, Bieber K, et al. Morphea: the 2023 update. Front Med (Lausanne). 2023;10:1108623. doi:10.3389/fmed.2023.1108623
  10. Zinzani PL, Ferreri AJ, Cerroni L. Mycosis fungoides. Cri t Rev Oncol Hematol. 2008;65:172-182. doi:10.1016/j.critrevonc.2007.08.004
  11. Lee A, Bradford J, Fischer G. Long-term management of adult vulvar lichen sclerosus: a prospective cohort study of 507 women. JAMA Dermatol. 2015;151(10):1061-1067. doi:10.1001/jamadermatol.2015.0643
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Atrophic Areas on the Axillary and Anogenital Anatomy

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Atrophic Areas on the Axillary and Anogenital Anatomy

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A 62-year-old woman presented for a fullbody skin examination and was found to have a rash in her axillae and inframammary regions. The rash was intermittently pruritic, and the patient felt that the inframammary rash had started from contact with brassiere underwires. She had no oral lesions but noted intermittent burning and itching of the vaginal folds and intermittent bleeding near her anus. Physical examination revealed confluent, shiny, white, atrophic, thin papules with surrounding pink and purple patches on bilateral axillae, bilateral inframammary folds, bilateral inner thighs, and on the clitoral hood and labia minora. There was also an hourglass-shaped erythematous patch involving the vagina and anus. A small fissure was noted perianally, and small hemorrhage was noted on the clitoral head, with fusion of the clitoral head and superior labia minora (Figures 1 and 2).

FDP04211437_F1
FIGURE 1. Circular red, crusted-appearing
lesion from punch biopsy of the patient’s left axilla.
FDP04211437_F2a
FIGURE 2. A, Dermoscopic image of a lichen
sclerosus plaque showing bright white grouped dots
on a pink background with follicular plugging and linear
branching vessels.
FDP04211437_F2b
FIGURE 2. B, Left axilla biopsy histopathology
showing a compact corneal layer with a pale papillary
dermis and an underlying lymphocytic infiltrate. These
findings give the “red, white, and blue” appearance.
Low power 20× magnification.

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Sim and Learn: Simulation and its Value in Neurology Education

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Sim and Learn: Simulation and its Value in Neurology Education

Clinical simulation is a technique, not a technology, used to replace or amplify real experiences with guided experiences that evoke or replicate substantial aspects of the real world in a fully interactive fashion.1 Simulation is widely used in medical education and spans a spectrum of sophistication, from simple reproduction of isolated body parts to high-fidelity human patient simulators that replicate whole body appearance and variable physiological parameters.2,3

Simulation-based medical education can be a valuable tool for safe health care delivery.4Simulation-based education is typically provided via 5 modalities: mannequins, computer-based mannequins, standardized patients, computer-based simulators, and software-based simulations. Simulation technology increases procedural skill by allowing for deliberate practice in a safe environment.5 Mastery learning is a stringent form of competency-based education that requires trainees to acquire clinical skill measured against a fixed achievement standard.6 In mastery learning, educational practice time varies but results are uniform. This approach improves patient outcomes and is more effective than clinical training alone.7-9

Advanced simulation models are helpful tools for neurologic education and training, especially for emergency department encounters.10 In recent years, advanced simulation models have been applied in various fields of medicine, especially emergency medicine and anesthesia.11-14

Acute neurology

In acute neurologic conditions (eg, stroke, intracerebral hemorrhage, status epilepticus, and neuromuscular respiratory failure) clinical outcomes are highly time dependent; consequently, a reduction in treatment delays can improve patient care. The application of simulation methodology allows trainees to address acute and potentially life-threatening emergencies in a safe, controlled, and reproducible environment. In addition to improving trainees’ knowledge base, simulation also helps to enhance team skills, communication, multidisciplinary collaboration, and leadership. Research has shown that deliberate practice leads to a decrease in clinical errors and improved procedural performance in the operating room.8,15 These results can be extrapolated to acute neurology settings to improve adherence to set protocols, thus streamlining management in acute settings.

Scenarios can be built to teach skills such as eliciting an appropriate history, establishing inclusion or exclusion criteria for the use of certain medications, evaluating neuroimaging and laboratory studies (while avoiding related common pitfalls), and managing treatment complications. Simulation also provides an opportunity for interprofessional education by training nurses and collaborative staff. It can be used to enhance nontechnical skills (eg, communication, situation awareness, decision making, and leadership) that further contribute to patient safety. 

Simulation can be performed with the help of mannequins such as the SimMan 3G(Laerdal), which can display neurologic symptoms and physiological findings, or live actors who portray a patient by mimicking focal neurologic deficits.16,17 A briefing familiarizes the trainees with the equipment and explains the simulation process. The documentation and equipment are the same as that which is used in emergency departments or intensive care units. 

Once the simulation is completed, a trainee’s performance is checked against a critical action checklist before a debriefing process during which the scenario is reviewed and learning goals are assessed. Immediate feedback is given to trainees to identify weaknesses and the simulation is repeated if multiple critical action items are missed. (Figure).17

FDP04211430_F1
FIGURE. Simulation-based teamwork in acute neurologic emergencies.

RESIDENCY TRAINING

Simulation training in stroke is mandatory in some residency programs for neurology postgraduate year (PGY) 2 residents.18 These simulations are a part of a boot camp for incoming neurology residents after completing an internal medicine internship. The simulation program is not standardized across various training programs. The European Stroke Organization Simulation Committee has published an opinion paper with a consensus of experts about the implementation of simulation techniques in the stroke field.19,20 Residents participating in these mandatory programs are required to complete certification in the National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin Scale, including a pretest that assesses their knowledge of acute stroke protocols prior to live simulation.17 A stepwise algorithm that incorporates faculty specialized in the field is used to evaluate and debrief the simulation.

Stroke vignettes are typically selected by the vascular neurology attending physician to cover thrombolytic therapy (indications and contraindications), mechanical thrombectomy, early arterial blood pressure management, anticoagulant reversal protocols, and management of thrombolytic complications (eg, neurologic worsening). Nursing staff is educated on the acute stroke protocol. Computed tomography (CT) and CT angiography scans are retrieved from teaching files. These are provided as live responses along with pertinent laboratory work, vital signs, and electrocardiogram tracings. Trainee performance is based on adherence to a critical action checklist, which includes (but is not limited to) identification of relative and absolute contraindications of thrombolytic treatments, estimation of NIHSS within 5 minutes of arrival, and consideration of candidacy for endovascular intervention.17

EVIDENCE FOR SIMULATION TRAINING

Simulations for acute ischemic stroke also improve cohesive teamwork to improve the door-to-needle and door-to-puncture time. A retrospective analysis involving first-year neurology residents at a comprehensive stroke center that compared patient cohort data before and after implementation of simulation training found that there was an improvement in door-to-needle time after implementation of stroke simulation training program by nearly 10 minutes.17 This was likely due to improvement in the comfort of the flow of management across multidisciplinary teams.

Discussing goals of care, communicating poor prognosis or complex decisions with distraught family members or patients requires practice. Simulation programs with video playback help focus on trainee’s body language, avoiding medical jargon and handling ethical dilemmas while adjusting the communication style to the patient’s personality.20 Enhanced communication skills improve patient satisfaction, trust, and adherence to treatments, all of which lead to better outcomes.21

Simulation has been effectively used as a training tool for recognizing and managing acute neuromuscular respiratory failure. These scenarios emphasize the importance of obtaining a focused clinical history, performing key neurological assessments (such as neck flexion strength and breath counting), evaluating pulmonary function tests, and identifying when to initiate ventilatory support.22 In a study designed as a simulation-based learning curriculum for status epilepticus, there was an improvement in the performance of PGY-2 residents after completing the curriculum from a median of 44.2% at pretest to 94.2% at posttest.23 In this curriculum, an emphasis was placed on the following: recognizing the delay in identification and treatment of status epilepticus; evaluating contraindications of certain antiseizure medication (ASM) based on history or laboratory work; giving first-line ASM within 5 minutes of seizure onset; airway and blood pressure assessment; suctioning the patient; use of second-line ASMs after first-line has failed; ordering a head CT and re-evaluating the case with postload ASM level; ordering a stat electroencephalography (EEG); and communicating the decision regarding patient disposition/level of care.24

There is a growing need for well designed simulation education programs targeted at the management of disorders requiring acute neurologic care, including not only stroke and status epilepticus, but also traumatic brain injury, subarachnoid hemorrhage, neuromuscular respiratory failure, flare of multiple sclerosis, acutely elevated intracranial pressure, malignant cerebral infarction, deterioration of Parkinson disease, and brain death evaluation with family counseling.25 This novel approach to teaching provides an opportunity to learn in addition to remediation with repetition of scenario and might be used for maintenance of recertification programs.

PROCEDURAL SKILLs

Perhaps one of the most studied uses for simulation in neurology is in procedural skills. This extends beyond neurology trainees and can include pulmonary critical care fellows, pediatric residents, and internal medicine residents receiving training in neurology-based procedures such as lumbar punctures (LPs). Other examples of neurology procedures and protocols in which simulation has been studied include fundoscopy, brain death evaluation, EEG interpretation in context of status epilepticus, and simulated stroke code responses. Additional procedures that lack research but may benefit from simulation-based training include the use of Doppler ultrasound and botulinum toxin injections practiced on mannequins.

Proficiency in LP procedural skills has been extensively studied by multiple institutions, with trainee levels ranging from medical students to fellows. One study in France enrolled 115 medical students without prior LP experience and randomized them to either a simulation or a control group.26 Those in the simulation group received instruction using a mannequin, and those in the control group received clinical training through hospital rotations. Both groups received an email containing literature-based information on the procedure as well as a self-assessment questionnaire before participating in either educational program. 

The study showed that those students who received simulation training had a success rate of 67% on their first LP on a live patient compared with a success rate of 14% in those with traditional training. Students receiving simulation training required less assistance during the procedure from a supervisor and had higher satisfaction rates and confidence in their procedural skills.26

Another study of 128 medical students at the University of Pittsburgh found that a hybrid LP simulation significantly improved students’ confidence and perceived skill in performing LPs, obtaining informed consent, and electronic order entry. For example, confidence with LP increased from 5.95% presimulation to 90% postsimulation, with 58.24% of students reporting an improvement from minimal or no confidence to average or better (P < .001). Similarly, the proportion of students who felt able to perform LP with minimal or no assistance rose from 0% to 38.57% (P < .001). Confidence and perceived skill in obtaining informed consent and electronic order entry also saw significant gains. Although real-world skill assessments were limited by low survey response rates, preceptor evaluations and follow-up surveys suggested that students who participated in the simulation were more likely to perform these tasks independently or with minimal supervision during clinical rotations.27

Research on simulation training involving nonneurology residents is also encouraging. One study compared the LP skills of traditionally trained neurology residents (PGY-2 to PGY-4) to internal medicine residents (PGY-1) who underwent simulation on a mannequin.28 The internal medicine residents first underwent a pretest on LP performance, watched an educational video, underwent an LP demonstration, and practiced on a mannequin with feedback. The neurology residents completed the checklist-style pretest and performed an LP on a mannequin. Internal medicine residents were found to increase their pretest scores from a mean of 46.3% to 95.7% following training, whereas neurology residents scored a mean of 65.4%. More than half of neurology residents were unable to identify the correct anatomic location or standard cerebrospinal fluid (CSF) tests to be ordered on a routine LP.28

A pediatric resident study in Canada found that following simulation-based training, LP procedural skill improved in 15 of 16 residents tested, and PGY-1 residents showed a reduction in anxiety related to performing the procedure.29

Virtual Reality

An additional tool for simulation is the use of virtual reality (VR) in combination with mannequins. A French study used videos of LPs on actual patients, from equipment set up to final CSF collection and termination of the procedure.30 These videos included a 360-degree view of the procedure. The short video was administered through a VR device (the Oculus Go headset by Microsoft) or by a YouTube video (if VR was not desired).

Participants in the study watched the video then performed an LP on a mannequin. Those who used the VR option had minimal adverse effects (eg, low rates of cybersickness, blurred vision, nausea) and high satisfaction regarding their training environment.30Another VR-based program is the vascular intervention system trainer, which allows clinicians to use endovascular devices and simulate procedures such as thrombectomies. VR simulation is used for trainees and to retrain experienced physicians in performance of high-risk procedures.31

Fundoscopic and Ultrasound Simulations

The AR403 eye stimulator device for fundoscopic examinations is a mannequin-based simulation.32 In a single-center, prospective, single-blind study of neurology and pediatric neurology residents, trainees were split into control and intervention groups, with the intervention group receiving simulator training. Both groups received video lectures on fundoscopy techniques. Pre- and postintervention measurements included knowledge, skill, and total scores on the skills assessment. Of the 48 trainees who participated, the intervention group demonstrated significantly higher increases in skills (P = .01) and total (P = .02) scores, although knowledge scores did not improve. The intervention group also reported higher comfort levels, higher confidence, and higher success rates.

Areas that would benefit from simulation training and development include ultrasound training, such as transcranial Doppler evaluation. In a national survey of residents in anesthesia and critical care, trainees reported that simulation was not frequently used in ultrasound training and that bedside teaching was more common. Interestingly, there was a discrepancy between the opinions of residents and program directors. The program directors felt simulation was in fact used (18.2% of program directors reported this vs 5.3% of trainees).33

A new program, the NewroSim (Gaumard), is a computer-based model of cerebral perfusion that may be a useful tool in this setting. It can simulate blood flow velocities, including pathologic ones, both with a mannequin or without.34

Another potential area for development is the use of mannequins to teach botulinum toxin injections for migraine, dystonia and spasticity in a training environment This is typically led by pharmaceutical representatives who are not necessarily clinicians. Residents and fellows may benefit instead from clinician-led education during their training programs.

Simulation in Patient Communication

Simulation provides a realistic environment for teaching rapid decision-making, leadership, and appropriate management of acutely ill neurologic patients; this includes the communication skills needed in response to neurologic injury.35 Simulation can be particularly useful in situations involving brain death determination, where the communication techniques differ significantly from those used in shared decision-making. Simulation provides a low-stakes setting for clinicians to practice the process of brain death determination and communication, leading to improved confidence and knowledge.36

In the context of acute neurologic emergencies, simulation exercises have been used to investigate the consistency of prognostication across a spectrum of neurology physicians. These exercises revealed that acute neuroprognostication is highly variable and often inaccurate among neurology clinicians, suggesting a potential area for improvement through further simulation training.37

FUTURE DIRECTIONS

Simulation education in neurology can be directed towards learners at all levels, including medical students, residents, fellows, nurses, and medical technologists. In addition, simulation has great value to different disciplines, including emergency medicine, intensive care, and psychiatry. In our view simulation is not being used to full potential in neurology.

Simulation can be used to expose clinicians to rare pathology, play an integral role in competency-based evaluations, and serve as the foundation for simulation-based neurology curriculums, teleneurology simulation training programs, and team training for neurologic emergencies.38Another under-recognized aspect of neurology education is teaching interpersonal communication and professionalism. A survey conducted at a neurology department (20 residents and 73 faculty respondents) asked about residents’ comfort level in performing a number of interpersonal communication and professionalism tasks.38 While none of the residents said they were “very uncomfortable” with these tasks, only 1 resident reported being “very comfortable.” In addition, fewer than 50% noted that they had been directly observed by a faculty member while performing these tasks. The results prompted the facility to develop a simulation curriculum that including observation and feedback from 8 objective structured clinical examinations at a simulation center. A standardized professional simulated the role of a patient, caregiver, medical student, or a faculty member. Residents indicated in postsimulation surveys that it was very useful, and a majority voted for the activity to be repeated for future classes.38

Simulation models may also provide a more objective method to evaluate neurology residents. Accreditation Council for Graduate Medical Education has provided Milestones that are used for assessment of neurology residents. Most of the programs rely on end-of-rotation faculty evaluations. These are subjective evaluations, rely on chance evaluations and may not reflect the exact caliber of a trainee in different clinical situations. Simulation models can serve as alternatives to provide an objective and accurate assessment of resident’s competency in different neurologic scenarios. 

In a study of PGY-4 neurology residents from 3 tertiary care academic medical centers were evaluated using simulation-based assessment. Their skills in identifying and managing status epilepticus were assessed via a simulation-based model and compared with clinical experience. No graduating neurology residents were able to meet or exceed the minimum passing score during the testing. It was suggested that end-of-rotation evaluations are inadequate for assigning level of Milestones.24 To move forward with use of simulation-based assessments, these models need to be trialed more extensively and validated. 

Morris et al developed simulations for assessment in neurocritical care.39 Ten evaluative simulation cases were developed. Researchers reported on 64 trainee participants in 274 evaluative simulation scenarios. The participants were very satisfied with the cases, found them to be very realistic and appropriately difficult. Interrater reliability was acceptable for both checklist action items and global rating scales. The researchers concluded that they were able to demonstrate validity evidence via the 10 simulation cases for assessment in neurologic emergencies.39 It is the authors’ belief that the future of residents’ competency assessment should include more widespread use of similar simulation models. 

Finally, VR and augmented reality (AR) have shown promise in various fields, including neurology. In neurology, these technologies are being explored for applications in rehabilitation, therapy, and medical training. Ongoing research aims to leverage these technologies for improved patient outcomes and medical education. Virtual simulations can recreate neurologic scenarios, allowing learners to interact with 3-dimensional (3D) models of the brain or experience virtual patient cases. AR can enhance traditional learning materials by overlaying digital information onto real-world objects, aiding in the understanding of complex neuroanatomy and medical concepts. These technologies contribute to more engaging and effective neurology education.39In a study of 84 graduate medical students divided into 3 groups, the first group attended a traditional lecture on neuroanatomy, the second group was shown VR-based 3D images, and the third group had a VR-based, interactive and stereoscopic session.40 Groups 2 and 3 showed the highest mean scores in evaluations and differed significantly from Group 1 (P < .05). Groups 2 and 3 did not differ significantly from each other. The researchers concluded that VR-based resources for teaching neuroanatomy fostered significantly higher learning when compared to the traditional methods.40

References
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  16. Tchopev ZN, Nelson AE, Hunninghake JC, et al. Curriculum innovations: high-fidelity simulation of acute neurology enhances rising resident confidence: results from a multicohort study. Neurol Educ. 2022;1:e200022. doi:10.1212/ne9.0000000000200022
  17. Mehta T, Strauss S, Beland D, et al. Stroke simulation improves acute stroke management: a systems-based practice experience. J Grad Med Educ. 2018;10:57-62. doi:10.4300/JGME-D-17-00167.1
  18. Pergakis MB, Chang WTW, Tabatabai A, et al. Simulation-based assessment of graduate neurology trainees’ performance managing acute ischemic stroke. Neurology. 2021;97:e2414-e2422. doi:10.1212/WNL.0000000000012972
  19. Casolla B. Simulation for neurology training: acute setting and beyond. Rev Neurol (Paris). 2021;177:1207-1213. doi:10.1016/j.neurol.2021.03.008
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  21. Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: a meta-analysis. Med Care. 2009;47:826-834.doi:10.1097/MLR.0b013e31819a5acc
  22. Patel RA, Mohl L, Paetow G, Maiser S. Acute neuromuscular respiratory weakness due to acute inflammatory demyelinating polyneuropathy (AIDP): a simulation scenario for neurology providers. MedEdPORTAL. 2019;15:10811. doi:10.15766/mep_2374-8265.10811
  23. Mikhaeil-Demo Y, Barsuk JH, Culler GW, et al. Use of a simulation-based mastery learning curriculum for neurology residents to improve the identification and management of status epilepticus. Epilepsy Behav. 2020;111:107247. doi:10.1016/j.yebeh.2020.107247
  24. Mikhaeil-Demo Y, Holmboe E, Gerard EE, et al. Simulation-based assessments and graduating neurology residents’ milestones: status epilepticus milestones. J Grad Med Educ. 2021;13:223-230. doi:10.4300/JGME-D-20-00832.1
  25. Hocker S, Wijdicks EFM, Feske SK, et al. Use of simulation in acute neurology training: point and counterpoint. Ann Neurol. 2015;78:337-342. doi:10.1002/ana.24473
  26. Gaubert S, Blet A, Dib F, et al. Positive effects of lumbar puncture simulation training for medical students in clinical practice. BMC Med Educ. 2021;21:1-6. doi:10.1186/S12909-020-02452-327.
  27. Yanta C, Knepper L, Van Deusen R, et al. The use of hybrid lumbar puncture simulation to teach entrustable professional activities during a medical student neurology clerkship. MedEdPublish (2016). 2021;9:266. doi:10.15694/mep.2020.000266.2
  28. Barsuk JH, Cohen ER, Caprio T, et al. Simulation-based education with mastery learning improves residents’ lumbar puncture skills. Neurology. 2012;79:132-137. doi:10.1212/WNL.0B013E31825DD39D
  29. McMillan HJ, Writer H, Moreau KA, et al. Lumbar puncture simulation in pediatric residency training: improving procedural competence and decreasing anxiety. BMC Med Educ. 2016;16:198. doi:10.1186/S12909-016-0722-1
  30. Vrillon A, Gonzales-Marabal L, Ceccaldi PF, et al. Using virtual reality in lumbar puncture training improves students learning experience. BMC Med Educ. 2022;22:244. doi:10.1186/S12909-022-03317-7
  31. Liebig T, Holtmannspötter M, Crossley R, et al. Metric-based virtual reality simulation: a paradigm shift in training for mechanical thrombectomy in acute stroke. Stroke. 2018;49:e239-e242.doi:10.1161/STROKEAHA.118.021089
  32. Gupta DK, Khandker N, Stacy K, et al. Utility of combining a simulation-based method with a lecture-based method for fundoscopy training in neurology residency. JAMA Neurol. 2017;74:1223-1227. doi:10.1001/JAMANEUROL.2017.2073
  33. Mongodi S, Bonomi F, Vaschetto R, et al. Point-of-care ultrasound training for residents in anaesthesia and critical care: results of a national survey comparing residents and training program directors’ perspectives. BMC Med Educ. 2022;22:647. doi:10.1186/S12909-022-03708-W
  34. Morris NA, Czeisler BM, Sarwal A. Simulation in neurocritical care: past, present, and future. Neurocrit Care. 2019;30:522-533. doi:10.1007/S12028-018-0629-2
  35. Wijdicks EFM, Hocker SE. A future for simulation in acute neurology. Semin Neurol. 2018;38:465-470. doi:10.1055/s-0038-1666986
  36. Kramer NM, O’Mahony S, Deamant C. Brain death determination and communication: an innovative approach using simulation and standardized patients. J Pain Symptom Manage. 2022;63:e765-e772. doi:10.1016/j.jpainsymman.2022.01.020
  37. Sloane KL, Miller JJ, Piquet A, et al. Prognostication in acute neurological emergencies. J Stroke Cerebrovasc Dis. 2022;31:106277. doi:10.1016/J.JSTROKECEREBROVASDIS.2021.106277
  38. Kurzweil AM, Lewis A, Pleninger P, et al. Education research: teaching and assessing communication and professionalism in neurology residency with simulation. Neurology. 2020;94:229-232. doi:10.1212/WNL.0000000000008895
  39. Morris NA, Chang WT, Tabatabai A, et al. Development of neurological emergency simulations for assessment: content evidence and response process. Neurocrit Care. 2021;35:389-396. doi:10.1007/S12028-020-01176-Y
  40. De Faria JWV, Teixeira MJ, De Moura Sousa Júnior L, et al. Virtual and stereoscopic anatomy: when virtual reality meets medical education. J Neurosurg. 2016;125:1105-1111. doi:10.3171/2015.8.JNS141563
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Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0649

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Laveena Singla, MDa; Fariha Jamal, MDb,c; Anju Abu, MDb,c; Dana Ionel, DOd,e, Amtul Farheen, MDa,f

Correspondence: Amtul Farheen (farheenbright@gmail.com)

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aUniversity of Mississippi School of Medicine, Jackson 
bMichael E. DeBakey Veterans Affairs Medical Center, Houston, Texas

cBaylor College of Medicine, Houston, Texas 
dLexington Veterans Affairs Medical Center, Kentucky 
eUniversity of Kentucky, Lexington 
fG.V. (Sonny) Montgomery Veterans Affairs Medical Center, Jackson, Mississippi

Author disclosures The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0649

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Clinical simulation is a technique, not a technology, used to replace or amplify real experiences with guided experiences that evoke or replicate substantial aspects of the real world in a fully interactive fashion.1 Simulation is widely used in medical education and spans a spectrum of sophistication, from simple reproduction of isolated body parts to high-fidelity human patient simulators that replicate whole body appearance and variable physiological parameters.2,3

Simulation-based medical education can be a valuable tool for safe health care delivery.4Simulation-based education is typically provided via 5 modalities: mannequins, computer-based mannequins, standardized patients, computer-based simulators, and software-based simulations. Simulation technology increases procedural skill by allowing for deliberate practice in a safe environment.5 Mastery learning is a stringent form of competency-based education that requires trainees to acquire clinical skill measured against a fixed achievement standard.6 In mastery learning, educational practice time varies but results are uniform. This approach improves patient outcomes and is more effective than clinical training alone.7-9

Advanced simulation models are helpful tools for neurologic education and training, especially for emergency department encounters.10 In recent years, advanced simulation models have been applied in various fields of medicine, especially emergency medicine and anesthesia.11-14

Acute neurology

In acute neurologic conditions (eg, stroke, intracerebral hemorrhage, status epilepticus, and neuromuscular respiratory failure) clinical outcomes are highly time dependent; consequently, a reduction in treatment delays can improve patient care. The application of simulation methodology allows trainees to address acute and potentially life-threatening emergencies in a safe, controlled, and reproducible environment. In addition to improving trainees’ knowledge base, simulation also helps to enhance team skills, communication, multidisciplinary collaboration, and leadership. Research has shown that deliberate practice leads to a decrease in clinical errors and improved procedural performance in the operating room.8,15 These results can be extrapolated to acute neurology settings to improve adherence to set protocols, thus streamlining management in acute settings.

Scenarios can be built to teach skills such as eliciting an appropriate history, establishing inclusion or exclusion criteria for the use of certain medications, evaluating neuroimaging and laboratory studies (while avoiding related common pitfalls), and managing treatment complications. Simulation also provides an opportunity for interprofessional education by training nurses and collaborative staff. It can be used to enhance nontechnical skills (eg, communication, situation awareness, decision making, and leadership) that further contribute to patient safety. 

Simulation can be performed with the help of mannequins such as the SimMan 3G(Laerdal), which can display neurologic symptoms and physiological findings, or live actors who portray a patient by mimicking focal neurologic deficits.16,17 A briefing familiarizes the trainees with the equipment and explains the simulation process. The documentation and equipment are the same as that which is used in emergency departments or intensive care units. 

Once the simulation is completed, a trainee’s performance is checked against a critical action checklist before a debriefing process during which the scenario is reviewed and learning goals are assessed. Immediate feedback is given to trainees to identify weaknesses and the simulation is repeated if multiple critical action items are missed. (Figure).17

FDP04211430_F1
FIGURE. Simulation-based teamwork in acute neurologic emergencies.

RESIDENCY TRAINING

Simulation training in stroke is mandatory in some residency programs for neurology postgraduate year (PGY) 2 residents.18 These simulations are a part of a boot camp for incoming neurology residents after completing an internal medicine internship. The simulation program is not standardized across various training programs. The European Stroke Organization Simulation Committee has published an opinion paper with a consensus of experts about the implementation of simulation techniques in the stroke field.19,20 Residents participating in these mandatory programs are required to complete certification in the National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin Scale, including a pretest that assesses their knowledge of acute stroke protocols prior to live simulation.17 A stepwise algorithm that incorporates faculty specialized in the field is used to evaluate and debrief the simulation.

Stroke vignettes are typically selected by the vascular neurology attending physician to cover thrombolytic therapy (indications and contraindications), mechanical thrombectomy, early arterial blood pressure management, anticoagulant reversal protocols, and management of thrombolytic complications (eg, neurologic worsening). Nursing staff is educated on the acute stroke protocol. Computed tomography (CT) and CT angiography scans are retrieved from teaching files. These are provided as live responses along with pertinent laboratory work, vital signs, and electrocardiogram tracings. Trainee performance is based on adherence to a critical action checklist, which includes (but is not limited to) identification of relative and absolute contraindications of thrombolytic treatments, estimation of NIHSS within 5 minutes of arrival, and consideration of candidacy for endovascular intervention.17

EVIDENCE FOR SIMULATION TRAINING

Simulations for acute ischemic stroke also improve cohesive teamwork to improve the door-to-needle and door-to-puncture time. A retrospective analysis involving first-year neurology residents at a comprehensive stroke center that compared patient cohort data before and after implementation of simulation training found that there was an improvement in door-to-needle time after implementation of stroke simulation training program by nearly 10 minutes.17 This was likely due to improvement in the comfort of the flow of management across multidisciplinary teams.

Discussing goals of care, communicating poor prognosis or complex decisions with distraught family members or patients requires practice. Simulation programs with video playback help focus on trainee’s body language, avoiding medical jargon and handling ethical dilemmas while adjusting the communication style to the patient’s personality.20 Enhanced communication skills improve patient satisfaction, trust, and adherence to treatments, all of which lead to better outcomes.21

Simulation has been effectively used as a training tool for recognizing and managing acute neuromuscular respiratory failure. These scenarios emphasize the importance of obtaining a focused clinical history, performing key neurological assessments (such as neck flexion strength and breath counting), evaluating pulmonary function tests, and identifying when to initiate ventilatory support.22 In a study designed as a simulation-based learning curriculum for status epilepticus, there was an improvement in the performance of PGY-2 residents after completing the curriculum from a median of 44.2% at pretest to 94.2% at posttest.23 In this curriculum, an emphasis was placed on the following: recognizing the delay in identification and treatment of status epilepticus; evaluating contraindications of certain antiseizure medication (ASM) based on history or laboratory work; giving first-line ASM within 5 minutes of seizure onset; airway and blood pressure assessment; suctioning the patient; use of second-line ASMs after first-line has failed; ordering a head CT and re-evaluating the case with postload ASM level; ordering a stat electroencephalography (EEG); and communicating the decision regarding patient disposition/level of care.24

There is a growing need for well designed simulation education programs targeted at the management of disorders requiring acute neurologic care, including not only stroke and status epilepticus, but also traumatic brain injury, subarachnoid hemorrhage, neuromuscular respiratory failure, flare of multiple sclerosis, acutely elevated intracranial pressure, malignant cerebral infarction, deterioration of Parkinson disease, and brain death evaluation with family counseling.25 This novel approach to teaching provides an opportunity to learn in addition to remediation with repetition of scenario and might be used for maintenance of recertification programs.

PROCEDURAL SKILLs

Perhaps one of the most studied uses for simulation in neurology is in procedural skills. This extends beyond neurology trainees and can include pulmonary critical care fellows, pediatric residents, and internal medicine residents receiving training in neurology-based procedures such as lumbar punctures (LPs). Other examples of neurology procedures and protocols in which simulation has been studied include fundoscopy, brain death evaluation, EEG interpretation in context of status epilepticus, and simulated stroke code responses. Additional procedures that lack research but may benefit from simulation-based training include the use of Doppler ultrasound and botulinum toxin injections practiced on mannequins.

Proficiency in LP procedural skills has been extensively studied by multiple institutions, with trainee levels ranging from medical students to fellows. One study in France enrolled 115 medical students without prior LP experience and randomized them to either a simulation or a control group.26 Those in the simulation group received instruction using a mannequin, and those in the control group received clinical training through hospital rotations. Both groups received an email containing literature-based information on the procedure as well as a self-assessment questionnaire before participating in either educational program. 

The study showed that those students who received simulation training had a success rate of 67% on their first LP on a live patient compared with a success rate of 14% in those with traditional training. Students receiving simulation training required less assistance during the procedure from a supervisor and had higher satisfaction rates and confidence in their procedural skills.26

Another study of 128 medical students at the University of Pittsburgh found that a hybrid LP simulation significantly improved students’ confidence and perceived skill in performing LPs, obtaining informed consent, and electronic order entry. For example, confidence with LP increased from 5.95% presimulation to 90% postsimulation, with 58.24% of students reporting an improvement from minimal or no confidence to average or better (P < .001). Similarly, the proportion of students who felt able to perform LP with minimal or no assistance rose from 0% to 38.57% (P < .001). Confidence and perceived skill in obtaining informed consent and electronic order entry also saw significant gains. Although real-world skill assessments were limited by low survey response rates, preceptor evaluations and follow-up surveys suggested that students who participated in the simulation were more likely to perform these tasks independently or with minimal supervision during clinical rotations.27

Research on simulation training involving nonneurology residents is also encouraging. One study compared the LP skills of traditionally trained neurology residents (PGY-2 to PGY-4) to internal medicine residents (PGY-1) who underwent simulation on a mannequin.28 The internal medicine residents first underwent a pretest on LP performance, watched an educational video, underwent an LP demonstration, and practiced on a mannequin with feedback. The neurology residents completed the checklist-style pretest and performed an LP on a mannequin. Internal medicine residents were found to increase their pretest scores from a mean of 46.3% to 95.7% following training, whereas neurology residents scored a mean of 65.4%. More than half of neurology residents were unable to identify the correct anatomic location or standard cerebrospinal fluid (CSF) tests to be ordered on a routine LP.28

A pediatric resident study in Canada found that following simulation-based training, LP procedural skill improved in 15 of 16 residents tested, and PGY-1 residents showed a reduction in anxiety related to performing the procedure.29

Virtual Reality

An additional tool for simulation is the use of virtual reality (VR) in combination with mannequins. A French study used videos of LPs on actual patients, from equipment set up to final CSF collection and termination of the procedure.30 These videos included a 360-degree view of the procedure. The short video was administered through a VR device (the Oculus Go headset by Microsoft) or by a YouTube video (if VR was not desired).

Participants in the study watched the video then performed an LP on a mannequin. Those who used the VR option had minimal adverse effects (eg, low rates of cybersickness, blurred vision, nausea) and high satisfaction regarding their training environment.30Another VR-based program is the vascular intervention system trainer, which allows clinicians to use endovascular devices and simulate procedures such as thrombectomies. VR simulation is used for trainees and to retrain experienced physicians in performance of high-risk procedures.31

Fundoscopic and Ultrasound Simulations

The AR403 eye stimulator device for fundoscopic examinations is a mannequin-based simulation.32 In a single-center, prospective, single-blind study of neurology and pediatric neurology residents, trainees were split into control and intervention groups, with the intervention group receiving simulator training. Both groups received video lectures on fundoscopy techniques. Pre- and postintervention measurements included knowledge, skill, and total scores on the skills assessment. Of the 48 trainees who participated, the intervention group demonstrated significantly higher increases in skills (P = .01) and total (P = .02) scores, although knowledge scores did not improve. The intervention group also reported higher comfort levels, higher confidence, and higher success rates.

Areas that would benefit from simulation training and development include ultrasound training, such as transcranial Doppler evaluation. In a national survey of residents in anesthesia and critical care, trainees reported that simulation was not frequently used in ultrasound training and that bedside teaching was more common. Interestingly, there was a discrepancy between the opinions of residents and program directors. The program directors felt simulation was in fact used (18.2% of program directors reported this vs 5.3% of trainees).33

A new program, the NewroSim (Gaumard), is a computer-based model of cerebral perfusion that may be a useful tool in this setting. It can simulate blood flow velocities, including pathologic ones, both with a mannequin or without.34

Another potential area for development is the use of mannequins to teach botulinum toxin injections for migraine, dystonia and spasticity in a training environment This is typically led by pharmaceutical representatives who are not necessarily clinicians. Residents and fellows may benefit instead from clinician-led education during their training programs.

Simulation in Patient Communication

Simulation provides a realistic environment for teaching rapid decision-making, leadership, and appropriate management of acutely ill neurologic patients; this includes the communication skills needed in response to neurologic injury.35 Simulation can be particularly useful in situations involving brain death determination, where the communication techniques differ significantly from those used in shared decision-making. Simulation provides a low-stakes setting for clinicians to practice the process of brain death determination and communication, leading to improved confidence and knowledge.36

In the context of acute neurologic emergencies, simulation exercises have been used to investigate the consistency of prognostication across a spectrum of neurology physicians. These exercises revealed that acute neuroprognostication is highly variable and often inaccurate among neurology clinicians, suggesting a potential area for improvement through further simulation training.37

FUTURE DIRECTIONS

Simulation education in neurology can be directed towards learners at all levels, including medical students, residents, fellows, nurses, and medical technologists. In addition, simulation has great value to different disciplines, including emergency medicine, intensive care, and psychiatry. In our view simulation is not being used to full potential in neurology.

Simulation can be used to expose clinicians to rare pathology, play an integral role in competency-based evaluations, and serve as the foundation for simulation-based neurology curriculums, teleneurology simulation training programs, and team training for neurologic emergencies.38Another under-recognized aspect of neurology education is teaching interpersonal communication and professionalism. A survey conducted at a neurology department (20 residents and 73 faculty respondents) asked about residents’ comfort level in performing a number of interpersonal communication and professionalism tasks.38 While none of the residents said they were “very uncomfortable” with these tasks, only 1 resident reported being “very comfortable.” In addition, fewer than 50% noted that they had been directly observed by a faculty member while performing these tasks. The results prompted the facility to develop a simulation curriculum that including observation and feedback from 8 objective structured clinical examinations at a simulation center. A standardized professional simulated the role of a patient, caregiver, medical student, or a faculty member. Residents indicated in postsimulation surveys that it was very useful, and a majority voted for the activity to be repeated for future classes.38

Simulation models may also provide a more objective method to evaluate neurology residents. Accreditation Council for Graduate Medical Education has provided Milestones that are used for assessment of neurology residents. Most of the programs rely on end-of-rotation faculty evaluations. These are subjective evaluations, rely on chance evaluations and may not reflect the exact caliber of a trainee in different clinical situations. Simulation models can serve as alternatives to provide an objective and accurate assessment of resident’s competency in different neurologic scenarios. 

In a study of PGY-4 neurology residents from 3 tertiary care academic medical centers were evaluated using simulation-based assessment. Their skills in identifying and managing status epilepticus were assessed via a simulation-based model and compared with clinical experience. No graduating neurology residents were able to meet or exceed the minimum passing score during the testing. It was suggested that end-of-rotation evaluations are inadequate for assigning level of Milestones.24 To move forward with use of simulation-based assessments, these models need to be trialed more extensively and validated. 

Morris et al developed simulations for assessment in neurocritical care.39 Ten evaluative simulation cases were developed. Researchers reported on 64 trainee participants in 274 evaluative simulation scenarios. The participants were very satisfied with the cases, found them to be very realistic and appropriately difficult. Interrater reliability was acceptable for both checklist action items and global rating scales. The researchers concluded that they were able to demonstrate validity evidence via the 10 simulation cases for assessment in neurologic emergencies.39 It is the authors’ belief that the future of residents’ competency assessment should include more widespread use of similar simulation models. 

Finally, VR and augmented reality (AR) have shown promise in various fields, including neurology. In neurology, these technologies are being explored for applications in rehabilitation, therapy, and medical training. Ongoing research aims to leverage these technologies for improved patient outcomes and medical education. Virtual simulations can recreate neurologic scenarios, allowing learners to interact with 3-dimensional (3D) models of the brain or experience virtual patient cases. AR can enhance traditional learning materials by overlaying digital information onto real-world objects, aiding in the understanding of complex neuroanatomy and medical concepts. These technologies contribute to more engaging and effective neurology education.39In a study of 84 graduate medical students divided into 3 groups, the first group attended a traditional lecture on neuroanatomy, the second group was shown VR-based 3D images, and the third group had a VR-based, interactive and stereoscopic session.40 Groups 2 and 3 showed the highest mean scores in evaluations and differed significantly from Group 1 (P < .05). Groups 2 and 3 did not differ significantly from each other. The researchers concluded that VR-based resources for teaching neuroanatomy fostered significantly higher learning when compared to the traditional methods.40

Clinical simulation is a technique, not a technology, used to replace or amplify real experiences with guided experiences that evoke or replicate substantial aspects of the real world in a fully interactive fashion.1 Simulation is widely used in medical education and spans a spectrum of sophistication, from simple reproduction of isolated body parts to high-fidelity human patient simulators that replicate whole body appearance and variable physiological parameters.2,3

Simulation-based medical education can be a valuable tool for safe health care delivery.4Simulation-based education is typically provided via 5 modalities: mannequins, computer-based mannequins, standardized patients, computer-based simulators, and software-based simulations. Simulation technology increases procedural skill by allowing for deliberate practice in a safe environment.5 Mastery learning is a stringent form of competency-based education that requires trainees to acquire clinical skill measured against a fixed achievement standard.6 In mastery learning, educational practice time varies but results are uniform. This approach improves patient outcomes and is more effective than clinical training alone.7-9

Advanced simulation models are helpful tools for neurologic education and training, especially for emergency department encounters.10 In recent years, advanced simulation models have been applied in various fields of medicine, especially emergency medicine and anesthesia.11-14

Acute neurology

In acute neurologic conditions (eg, stroke, intracerebral hemorrhage, status epilepticus, and neuromuscular respiratory failure) clinical outcomes are highly time dependent; consequently, a reduction in treatment delays can improve patient care. The application of simulation methodology allows trainees to address acute and potentially life-threatening emergencies in a safe, controlled, and reproducible environment. In addition to improving trainees’ knowledge base, simulation also helps to enhance team skills, communication, multidisciplinary collaboration, and leadership. Research has shown that deliberate practice leads to a decrease in clinical errors and improved procedural performance in the operating room.8,15 These results can be extrapolated to acute neurology settings to improve adherence to set protocols, thus streamlining management in acute settings.

Scenarios can be built to teach skills such as eliciting an appropriate history, establishing inclusion or exclusion criteria for the use of certain medications, evaluating neuroimaging and laboratory studies (while avoiding related common pitfalls), and managing treatment complications. Simulation also provides an opportunity for interprofessional education by training nurses and collaborative staff. It can be used to enhance nontechnical skills (eg, communication, situation awareness, decision making, and leadership) that further contribute to patient safety. 

Simulation can be performed with the help of mannequins such as the SimMan 3G(Laerdal), which can display neurologic symptoms and physiological findings, or live actors who portray a patient by mimicking focal neurologic deficits.16,17 A briefing familiarizes the trainees with the equipment and explains the simulation process. The documentation and equipment are the same as that which is used in emergency departments or intensive care units. 

Once the simulation is completed, a trainee’s performance is checked against a critical action checklist before a debriefing process during which the scenario is reviewed and learning goals are assessed. Immediate feedback is given to trainees to identify weaknesses and the simulation is repeated if multiple critical action items are missed. (Figure).17

FDP04211430_F1
FIGURE. Simulation-based teamwork in acute neurologic emergencies.

RESIDENCY TRAINING

Simulation training in stroke is mandatory in some residency programs for neurology postgraduate year (PGY) 2 residents.18 These simulations are a part of a boot camp for incoming neurology residents after completing an internal medicine internship. The simulation program is not standardized across various training programs. The European Stroke Organization Simulation Committee has published an opinion paper with a consensus of experts about the implementation of simulation techniques in the stroke field.19,20 Residents participating in these mandatory programs are required to complete certification in the National Institutes of Health Stroke Scale (NIHSS) and the modified Rankin Scale, including a pretest that assesses their knowledge of acute stroke protocols prior to live simulation.17 A stepwise algorithm that incorporates faculty specialized in the field is used to evaluate and debrief the simulation.

Stroke vignettes are typically selected by the vascular neurology attending physician to cover thrombolytic therapy (indications and contraindications), mechanical thrombectomy, early arterial blood pressure management, anticoagulant reversal protocols, and management of thrombolytic complications (eg, neurologic worsening). Nursing staff is educated on the acute stroke protocol. Computed tomography (CT) and CT angiography scans are retrieved from teaching files. These are provided as live responses along with pertinent laboratory work, vital signs, and electrocardiogram tracings. Trainee performance is based on adherence to a critical action checklist, which includes (but is not limited to) identification of relative and absolute contraindications of thrombolytic treatments, estimation of NIHSS within 5 minutes of arrival, and consideration of candidacy for endovascular intervention.17

EVIDENCE FOR SIMULATION TRAINING

Simulations for acute ischemic stroke also improve cohesive teamwork to improve the door-to-needle and door-to-puncture time. A retrospective analysis involving first-year neurology residents at a comprehensive stroke center that compared patient cohort data before and after implementation of simulation training found that there was an improvement in door-to-needle time after implementation of stroke simulation training program by nearly 10 minutes.17 This was likely due to improvement in the comfort of the flow of management across multidisciplinary teams.

Discussing goals of care, communicating poor prognosis or complex decisions with distraught family members or patients requires practice. Simulation programs with video playback help focus on trainee’s body language, avoiding medical jargon and handling ethical dilemmas while adjusting the communication style to the patient’s personality.20 Enhanced communication skills improve patient satisfaction, trust, and adherence to treatments, all of which lead to better outcomes.21

Simulation has been effectively used as a training tool for recognizing and managing acute neuromuscular respiratory failure. These scenarios emphasize the importance of obtaining a focused clinical history, performing key neurological assessments (such as neck flexion strength and breath counting), evaluating pulmonary function tests, and identifying when to initiate ventilatory support.22 In a study designed as a simulation-based learning curriculum for status epilepticus, there was an improvement in the performance of PGY-2 residents after completing the curriculum from a median of 44.2% at pretest to 94.2% at posttest.23 In this curriculum, an emphasis was placed on the following: recognizing the delay in identification and treatment of status epilepticus; evaluating contraindications of certain antiseizure medication (ASM) based on history or laboratory work; giving first-line ASM within 5 minutes of seizure onset; airway and blood pressure assessment; suctioning the patient; use of second-line ASMs after first-line has failed; ordering a head CT and re-evaluating the case with postload ASM level; ordering a stat electroencephalography (EEG); and communicating the decision regarding patient disposition/level of care.24

There is a growing need for well designed simulation education programs targeted at the management of disorders requiring acute neurologic care, including not only stroke and status epilepticus, but also traumatic brain injury, subarachnoid hemorrhage, neuromuscular respiratory failure, flare of multiple sclerosis, acutely elevated intracranial pressure, malignant cerebral infarction, deterioration of Parkinson disease, and brain death evaluation with family counseling.25 This novel approach to teaching provides an opportunity to learn in addition to remediation with repetition of scenario and might be used for maintenance of recertification programs.

PROCEDURAL SKILLs

Perhaps one of the most studied uses for simulation in neurology is in procedural skills. This extends beyond neurology trainees and can include pulmonary critical care fellows, pediatric residents, and internal medicine residents receiving training in neurology-based procedures such as lumbar punctures (LPs). Other examples of neurology procedures and protocols in which simulation has been studied include fundoscopy, brain death evaluation, EEG interpretation in context of status epilepticus, and simulated stroke code responses. Additional procedures that lack research but may benefit from simulation-based training include the use of Doppler ultrasound and botulinum toxin injections practiced on mannequins.

Proficiency in LP procedural skills has been extensively studied by multiple institutions, with trainee levels ranging from medical students to fellows. One study in France enrolled 115 medical students without prior LP experience and randomized them to either a simulation or a control group.26 Those in the simulation group received instruction using a mannequin, and those in the control group received clinical training through hospital rotations. Both groups received an email containing literature-based information on the procedure as well as a self-assessment questionnaire before participating in either educational program. 

The study showed that those students who received simulation training had a success rate of 67% on their first LP on a live patient compared with a success rate of 14% in those with traditional training. Students receiving simulation training required less assistance during the procedure from a supervisor and had higher satisfaction rates and confidence in their procedural skills.26

Another study of 128 medical students at the University of Pittsburgh found that a hybrid LP simulation significantly improved students’ confidence and perceived skill in performing LPs, obtaining informed consent, and electronic order entry. For example, confidence with LP increased from 5.95% presimulation to 90% postsimulation, with 58.24% of students reporting an improvement from minimal or no confidence to average or better (P < .001). Similarly, the proportion of students who felt able to perform LP with minimal or no assistance rose from 0% to 38.57% (P < .001). Confidence and perceived skill in obtaining informed consent and electronic order entry also saw significant gains. Although real-world skill assessments were limited by low survey response rates, preceptor evaluations and follow-up surveys suggested that students who participated in the simulation were more likely to perform these tasks independently or with minimal supervision during clinical rotations.27

Research on simulation training involving nonneurology residents is also encouraging. One study compared the LP skills of traditionally trained neurology residents (PGY-2 to PGY-4) to internal medicine residents (PGY-1) who underwent simulation on a mannequin.28 The internal medicine residents first underwent a pretest on LP performance, watched an educational video, underwent an LP demonstration, and practiced on a mannequin with feedback. The neurology residents completed the checklist-style pretest and performed an LP on a mannequin. Internal medicine residents were found to increase their pretest scores from a mean of 46.3% to 95.7% following training, whereas neurology residents scored a mean of 65.4%. More than half of neurology residents were unable to identify the correct anatomic location or standard cerebrospinal fluid (CSF) tests to be ordered on a routine LP.28

A pediatric resident study in Canada found that following simulation-based training, LP procedural skill improved in 15 of 16 residents tested, and PGY-1 residents showed a reduction in anxiety related to performing the procedure.29

Virtual Reality

An additional tool for simulation is the use of virtual reality (VR) in combination with mannequins. A French study used videos of LPs on actual patients, from equipment set up to final CSF collection and termination of the procedure.30 These videos included a 360-degree view of the procedure. The short video was administered through a VR device (the Oculus Go headset by Microsoft) or by a YouTube video (if VR was not desired).

Participants in the study watched the video then performed an LP on a mannequin. Those who used the VR option had minimal adverse effects (eg, low rates of cybersickness, blurred vision, nausea) and high satisfaction regarding their training environment.30Another VR-based program is the vascular intervention system trainer, which allows clinicians to use endovascular devices and simulate procedures such as thrombectomies. VR simulation is used for trainees and to retrain experienced physicians in performance of high-risk procedures.31

Fundoscopic and Ultrasound Simulations

The AR403 eye stimulator device for fundoscopic examinations is a mannequin-based simulation.32 In a single-center, prospective, single-blind study of neurology and pediatric neurology residents, trainees were split into control and intervention groups, with the intervention group receiving simulator training. Both groups received video lectures on fundoscopy techniques. Pre- and postintervention measurements included knowledge, skill, and total scores on the skills assessment. Of the 48 trainees who participated, the intervention group demonstrated significantly higher increases in skills (P = .01) and total (P = .02) scores, although knowledge scores did not improve. The intervention group also reported higher comfort levels, higher confidence, and higher success rates.

Areas that would benefit from simulation training and development include ultrasound training, such as transcranial Doppler evaluation. In a national survey of residents in anesthesia and critical care, trainees reported that simulation was not frequently used in ultrasound training and that bedside teaching was more common. Interestingly, there was a discrepancy between the opinions of residents and program directors. The program directors felt simulation was in fact used (18.2% of program directors reported this vs 5.3% of trainees).33

A new program, the NewroSim (Gaumard), is a computer-based model of cerebral perfusion that may be a useful tool in this setting. It can simulate blood flow velocities, including pathologic ones, both with a mannequin or without.34

Another potential area for development is the use of mannequins to teach botulinum toxin injections for migraine, dystonia and spasticity in a training environment This is typically led by pharmaceutical representatives who are not necessarily clinicians. Residents and fellows may benefit instead from clinician-led education during their training programs.

Simulation in Patient Communication

Simulation provides a realistic environment for teaching rapid decision-making, leadership, and appropriate management of acutely ill neurologic patients; this includes the communication skills needed in response to neurologic injury.35 Simulation can be particularly useful in situations involving brain death determination, where the communication techniques differ significantly from those used in shared decision-making. Simulation provides a low-stakes setting for clinicians to practice the process of brain death determination and communication, leading to improved confidence and knowledge.36

In the context of acute neurologic emergencies, simulation exercises have been used to investigate the consistency of prognostication across a spectrum of neurology physicians. These exercises revealed that acute neuroprognostication is highly variable and often inaccurate among neurology clinicians, suggesting a potential area for improvement through further simulation training.37

FUTURE DIRECTIONS

Simulation education in neurology can be directed towards learners at all levels, including medical students, residents, fellows, nurses, and medical technologists. In addition, simulation has great value to different disciplines, including emergency medicine, intensive care, and psychiatry. In our view simulation is not being used to full potential in neurology.

Simulation can be used to expose clinicians to rare pathology, play an integral role in competency-based evaluations, and serve as the foundation for simulation-based neurology curriculums, teleneurology simulation training programs, and team training for neurologic emergencies.38Another under-recognized aspect of neurology education is teaching interpersonal communication and professionalism. A survey conducted at a neurology department (20 residents and 73 faculty respondents) asked about residents’ comfort level in performing a number of interpersonal communication and professionalism tasks.38 While none of the residents said they were “very uncomfortable” with these tasks, only 1 resident reported being “very comfortable.” In addition, fewer than 50% noted that they had been directly observed by a faculty member while performing these tasks. The results prompted the facility to develop a simulation curriculum that including observation and feedback from 8 objective structured clinical examinations at a simulation center. A standardized professional simulated the role of a patient, caregiver, medical student, or a faculty member. Residents indicated in postsimulation surveys that it was very useful, and a majority voted for the activity to be repeated for future classes.38

Simulation models may also provide a more objective method to evaluate neurology residents. Accreditation Council for Graduate Medical Education has provided Milestones that are used for assessment of neurology residents. Most of the programs rely on end-of-rotation faculty evaluations. These are subjective evaluations, rely on chance evaluations and may not reflect the exact caliber of a trainee in different clinical situations. Simulation models can serve as alternatives to provide an objective and accurate assessment of resident’s competency in different neurologic scenarios. 

In a study of PGY-4 neurology residents from 3 tertiary care academic medical centers were evaluated using simulation-based assessment. Their skills in identifying and managing status epilepticus were assessed via a simulation-based model and compared with clinical experience. No graduating neurology residents were able to meet or exceed the minimum passing score during the testing. It was suggested that end-of-rotation evaluations are inadequate for assigning level of Milestones.24 To move forward with use of simulation-based assessments, these models need to be trialed more extensively and validated. 

Morris et al developed simulations for assessment in neurocritical care.39 Ten evaluative simulation cases were developed. Researchers reported on 64 trainee participants in 274 evaluative simulation scenarios. The participants were very satisfied with the cases, found them to be very realistic and appropriately difficult. Interrater reliability was acceptable for both checklist action items and global rating scales. The researchers concluded that they were able to demonstrate validity evidence via the 10 simulation cases for assessment in neurologic emergencies.39 It is the authors’ belief that the future of residents’ competency assessment should include more widespread use of similar simulation models. 

Finally, VR and augmented reality (AR) have shown promise in various fields, including neurology. In neurology, these technologies are being explored for applications in rehabilitation, therapy, and medical training. Ongoing research aims to leverage these technologies for improved patient outcomes and medical education. Virtual simulations can recreate neurologic scenarios, allowing learners to interact with 3-dimensional (3D) models of the brain or experience virtual patient cases. AR can enhance traditional learning materials by overlaying digital information onto real-world objects, aiding in the understanding of complex neuroanatomy and medical concepts. These technologies contribute to more engaging and effective neurology education.39In a study of 84 graduate medical students divided into 3 groups, the first group attended a traditional lecture on neuroanatomy, the second group was shown VR-based 3D images, and the third group had a VR-based, interactive and stereoscopic session.40 Groups 2 and 3 showed the highest mean scores in evaluations and differed significantly from Group 1 (P < .05). Groups 2 and 3 did not differ significantly from each other. The researchers concluded that VR-based resources for teaching neuroanatomy fostered significantly higher learning when compared to the traditional methods.40

References
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  8. Wayne DB, Didwania A, Feinglass J, et al. Simulation-based education improves quality of care during cardiac arrest team responses at an academic teaching hospital: a case-control study. Chest. 2008;133:56-61. doi:10.1378/chest.07-0131
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  11. Bond WF, Lammers RL, Spillane LL, et al. The use of simulation in emergency medicine: a research agenda. Acad Emerg Med. 2007;14:353-363. doi:10.1197/j.aem.2006.11.02112.
  12. McLaughlin SA, Doezema D, Sklar DP. Human simulation in emergency medicine training: a model curriculum. Acad Emerg Med. 2002;9:1310-1318. doi:10.1111/j.1553-2712.2002.tb01593.x
  13. Howard SK, Gaba DM, Fish KJ, et al. Anesthesia crisis resource management training: teaching anesthesiologists to handle critical incidents. Aviat Space Environ Med. 1992;63:763-770.
  14. Gaba DM. Anaesthesiology as a model for patient safety in health care. BMJ. 2000;320:785-788. doi:10.1136/bmj.320.7237.785
  15. Sedlack RE, Kolars JC. Computer simulator training enhances the competency of gastroenterology fellows at colonoscopy: results of a pilot study. Am J Gastroenterol. 2004;99:33-37. doi:10.1111/j.1572-0241.2004.04007.x
  16. Tchopev ZN, Nelson AE, Hunninghake JC, et al. Curriculum innovations: high-fidelity simulation of acute neurology enhances rising resident confidence: results from a multicohort study. Neurol Educ. 2022;1:e200022. doi:10.1212/ne9.0000000000200022
  17. Mehta T, Strauss S, Beland D, et al. Stroke simulation improves acute stroke management: a systems-based practice experience. J Grad Med Educ. 2018;10:57-62. doi:10.4300/JGME-D-17-00167.1
  18. Pergakis MB, Chang WTW, Tabatabai A, et al. Simulation-based assessment of graduate neurology trainees’ performance managing acute ischemic stroke. Neurology. 2021;97:e2414-e2422. doi:10.1212/WNL.0000000000012972
  19. Casolla B. Simulation for neurology training: acute setting and beyond. Rev Neurol (Paris). 2021;177:1207-1213. doi:10.1016/j.neurol.2021.03.008
  20. Casolla B, de Leciñana MA, Neves R, et al. Simulation training programs for acute stroke care: Objectives and standards of methodology. Eur Stroke J. 2020;5:328-335. doi:10.1177/2396987320971105
  21. Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: a meta-analysis. Med Care. 2009;47:826-834.doi:10.1097/MLR.0b013e31819a5acc
  22. Patel RA, Mohl L, Paetow G, Maiser S. Acute neuromuscular respiratory weakness due to acute inflammatory demyelinating polyneuropathy (AIDP): a simulation scenario for neurology providers. MedEdPORTAL. 2019;15:10811. doi:10.15766/mep_2374-8265.10811
  23. Mikhaeil-Demo Y, Barsuk JH, Culler GW, et al. Use of a simulation-based mastery learning curriculum for neurology residents to improve the identification and management of status epilepticus. Epilepsy Behav. 2020;111:107247. doi:10.1016/j.yebeh.2020.107247
  24. Mikhaeil-Demo Y, Holmboe E, Gerard EE, et al. Simulation-based assessments and graduating neurology residents’ milestones: status epilepticus milestones. J Grad Med Educ. 2021;13:223-230. doi:10.4300/JGME-D-20-00832.1
  25. Hocker S, Wijdicks EFM, Feske SK, et al. Use of simulation in acute neurology training: point and counterpoint. Ann Neurol. 2015;78:337-342. doi:10.1002/ana.24473
  26. Gaubert S, Blet A, Dib F, et al. Positive effects of lumbar puncture simulation training for medical students in clinical practice. BMC Med Educ. 2021;21:1-6. doi:10.1186/S12909-020-02452-327.
  27. Yanta C, Knepper L, Van Deusen R, et al. The use of hybrid lumbar puncture simulation to teach entrustable professional activities during a medical student neurology clerkship. MedEdPublish (2016). 2021;9:266. doi:10.15694/mep.2020.000266.2
  28. Barsuk JH, Cohen ER, Caprio T, et al. Simulation-based education with mastery learning improves residents’ lumbar puncture skills. Neurology. 2012;79:132-137. doi:10.1212/WNL.0B013E31825DD39D
  29. McMillan HJ, Writer H, Moreau KA, et al. Lumbar puncture simulation in pediatric residency training: improving procedural competence and decreasing anxiety. BMC Med Educ. 2016;16:198. doi:10.1186/S12909-016-0722-1
  30. Vrillon A, Gonzales-Marabal L, Ceccaldi PF, et al. Using virtual reality in lumbar puncture training improves students learning experience. BMC Med Educ. 2022;22:244. doi:10.1186/S12909-022-03317-7
  31. Liebig T, Holtmannspötter M, Crossley R, et al. Metric-based virtual reality simulation: a paradigm shift in training for mechanical thrombectomy in acute stroke. Stroke. 2018;49:e239-e242.doi:10.1161/STROKEAHA.118.021089
  32. Gupta DK, Khandker N, Stacy K, et al. Utility of combining a simulation-based method with a lecture-based method for fundoscopy training in neurology residency. JAMA Neurol. 2017;74:1223-1227. doi:10.1001/JAMANEUROL.2017.2073
  33. Mongodi S, Bonomi F, Vaschetto R, et al. Point-of-care ultrasound training for residents in anaesthesia and critical care: results of a national survey comparing residents and training program directors’ perspectives. BMC Med Educ. 2022;22:647. doi:10.1186/S12909-022-03708-W
  34. Morris NA, Czeisler BM, Sarwal A. Simulation in neurocritical care: past, present, and future. Neurocrit Care. 2019;30:522-533. doi:10.1007/S12028-018-0629-2
  35. Wijdicks EFM, Hocker SE. A future for simulation in acute neurology. Semin Neurol. 2018;38:465-470. doi:10.1055/s-0038-1666986
  36. Kramer NM, O’Mahony S, Deamant C. Brain death determination and communication: an innovative approach using simulation and standardized patients. J Pain Symptom Manage. 2022;63:e765-e772. doi:10.1016/j.jpainsymman.2022.01.020
  37. Sloane KL, Miller JJ, Piquet A, et al. Prognostication in acute neurological emergencies. J Stroke Cerebrovasc Dis. 2022;31:106277. doi:10.1016/J.JSTROKECEREBROVASDIS.2021.106277
  38. Kurzweil AM, Lewis A, Pleninger P, et al. Education research: teaching and assessing communication and professionalism in neurology residency with simulation. Neurology. 2020;94:229-232. doi:10.1212/WNL.0000000000008895
  39. Morris NA, Chang WT, Tabatabai A, et al. Development of neurological emergency simulations for assessment: content evidence and response process. Neurocrit Care. 2021;35:389-396. doi:10.1007/S12028-020-01176-Y
  40. De Faria JWV, Teixeira MJ, De Moura Sousa Júnior L, et al. Virtual and stereoscopic anatomy: when virtual reality meets medical education. J Neurosurg. 2016;125:1105-1111. doi:10.3171/2015.8.JNS141563
References
  1. Corvetto M, Bravo MP, Montaña R, et al. Simulación en educación médica: una sinopsis. Rev Med Chil. 2013;141:70-79. doi:10.4067/S0034-98872013000100010
  2. Lane JL, Slavin S, Ziv A. Simulation in medical education: a review. Simul Gaming. 2001;32:297-314. doi:10.1177/104687810103200302
  3. Bradley P. The history of simulation in medical education and possible future directions. Med Educ. 2006;40:254-262. doi:10.1111/j.1365-2929.2006.02394.x
  4. Jones F, Passos-Neto C, Melro Braghiroli O. Simulation in medical education: brief history and methodology. Princ Pract Clin Res J. 2015;1:46-54. doi:10.21801/ppcrj.2015.12.8
  5. Issenberg SB. Simulation technology for health care professional skills training and assessment. JAMA. 1999;28:861-866. doi:10.1001/jama.282.9.861
  6. McGaghie WC, Miller GE, Sajid AW, et al. Competency-based curriculum development on medical education: an introduction. Public Health Pap. 1978;68:11-91.
  7. Barsuk JH, Cohen ER, Feinglass J, et al. Use of simulation-based education to reduce catheter-related bloodstream infections. Arch Intern Med. 2009;169:1420-1423. doi:10.1001/archinternmed.2009.215
  8. Wayne DB, Didwania A, Feinglass J, et al. Simulation-based education improves quality of care during cardiac arrest team responses at an academic teaching hospital: a case-control study. Chest. 2008;133:56-61. doi:10.1378/chest.07-0131
  9. McGaghie WC, Issenberg SB, Cohen ER, et al. Does simulation-based medical education with deliberate practice yield better results than traditional clinical education? A meta-analytic comparative review of the evidence. Acad Med. 2011;86:706-711. doi:10.1097/ACM.0b013e318217e119
  10. Micieli G, Cavallini A, Santalucia P, et al. Simulation in neurology. Neurol Sci. 2015;36:1967-1971. doi:10.1007/s10072-015-2228-8
  11. Bond WF, Lammers RL, Spillane LL, et al. The use of simulation in emergency medicine: a research agenda. Acad Emerg Med. 2007;14:353-363. doi:10.1197/j.aem.2006.11.02112.
  12. McLaughlin SA, Doezema D, Sklar DP. Human simulation in emergency medicine training: a model curriculum. Acad Emerg Med. 2002;9:1310-1318. doi:10.1111/j.1553-2712.2002.tb01593.x
  13. Howard SK, Gaba DM, Fish KJ, et al. Anesthesia crisis resource management training: teaching anesthesiologists to handle critical incidents. Aviat Space Environ Med. 1992;63:763-770.
  14. Gaba DM. Anaesthesiology as a model for patient safety in health care. BMJ. 2000;320:785-788. doi:10.1136/bmj.320.7237.785
  15. Sedlack RE, Kolars JC. Computer simulator training enhances the competency of gastroenterology fellows at colonoscopy: results of a pilot study. Am J Gastroenterol. 2004;99:33-37. doi:10.1111/j.1572-0241.2004.04007.x
  16. Tchopev ZN, Nelson AE, Hunninghake JC, et al. Curriculum innovations: high-fidelity simulation of acute neurology enhances rising resident confidence: results from a multicohort study. Neurol Educ. 2022;1:e200022. doi:10.1212/ne9.0000000000200022
  17. Mehta T, Strauss S, Beland D, et al. Stroke simulation improves acute stroke management: a systems-based practice experience. J Grad Med Educ. 2018;10:57-62. doi:10.4300/JGME-D-17-00167.1
  18. Pergakis MB, Chang WTW, Tabatabai A, et al. Simulation-based assessment of graduate neurology trainees’ performance managing acute ischemic stroke. Neurology. 2021;97:e2414-e2422. doi:10.1212/WNL.0000000000012972
  19. Casolla B. Simulation for neurology training: acute setting and beyond. Rev Neurol (Paris). 2021;177:1207-1213. doi:10.1016/j.neurol.2021.03.008
  20. Casolla B, de Leciñana MA, Neves R, et al. Simulation training programs for acute stroke care: Objectives and standards of methodology. Eur Stroke J. 2020;5:328-335. doi:10.1177/2396987320971105
  21. Zolnierek KB, Dimatteo MR. Physician communication and patient adherence to treatment: a meta-analysis. Med Care. 2009;47:826-834.doi:10.1097/MLR.0b013e31819a5acc
  22. Patel RA, Mohl L, Paetow G, Maiser S. Acute neuromuscular respiratory weakness due to acute inflammatory demyelinating polyneuropathy (AIDP): a simulation scenario for neurology providers. MedEdPORTAL. 2019;15:10811. doi:10.15766/mep_2374-8265.10811
  23. Mikhaeil-Demo Y, Barsuk JH, Culler GW, et al. Use of a simulation-based mastery learning curriculum for neurology residents to improve the identification and management of status epilepticus. Epilepsy Behav. 2020;111:107247. doi:10.1016/j.yebeh.2020.107247
  24. Mikhaeil-Demo Y, Holmboe E, Gerard EE, et al. Simulation-based assessments and graduating neurology residents’ milestones: status epilepticus milestones. J Grad Med Educ. 2021;13:223-230. doi:10.4300/JGME-D-20-00832.1
  25. Hocker S, Wijdicks EFM, Feske SK, et al. Use of simulation in acute neurology training: point and counterpoint. Ann Neurol. 2015;78:337-342. doi:10.1002/ana.24473
  26. Gaubert S, Blet A, Dib F, et al. Positive effects of lumbar puncture simulation training for medical students in clinical practice. BMC Med Educ. 2021;21:1-6. doi:10.1186/S12909-020-02452-327.
  27. Yanta C, Knepper L, Van Deusen R, et al. The use of hybrid lumbar puncture simulation to teach entrustable professional activities during a medical student neurology clerkship. MedEdPublish (2016). 2021;9:266. doi:10.15694/mep.2020.000266.2
  28. Barsuk JH, Cohen ER, Caprio T, et al. Simulation-based education with mastery learning improves residents’ lumbar puncture skills. Neurology. 2012;79:132-137. doi:10.1212/WNL.0B013E31825DD39D
  29. McMillan HJ, Writer H, Moreau KA, et al. Lumbar puncture simulation in pediatric residency training: improving procedural competence and decreasing anxiety. BMC Med Educ. 2016;16:198. doi:10.1186/S12909-016-0722-1
  30. Vrillon A, Gonzales-Marabal L, Ceccaldi PF, et al. Using virtual reality in lumbar puncture training improves students learning experience. BMC Med Educ. 2022;22:244. doi:10.1186/S12909-022-03317-7
  31. Liebig T, Holtmannspötter M, Crossley R, et al. Metric-based virtual reality simulation: a paradigm shift in training for mechanical thrombectomy in acute stroke. Stroke. 2018;49:e239-e242.doi:10.1161/STROKEAHA.118.021089
  32. Gupta DK, Khandker N, Stacy K, et al. Utility of combining a simulation-based method with a lecture-based method for fundoscopy training in neurology residency. JAMA Neurol. 2017;74:1223-1227. doi:10.1001/JAMANEUROL.2017.2073
  33. Mongodi S, Bonomi F, Vaschetto R, et al. Point-of-care ultrasound training for residents in anaesthesia and critical care: results of a national survey comparing residents and training program directors’ perspectives. BMC Med Educ. 2022;22:647. doi:10.1186/S12909-022-03708-W
  34. Morris NA, Czeisler BM, Sarwal A. Simulation in neurocritical care: past, present, and future. Neurocrit Care. 2019;30:522-533. doi:10.1007/S12028-018-0629-2
  35. Wijdicks EFM, Hocker SE. A future for simulation in acute neurology. Semin Neurol. 2018;38:465-470. doi:10.1055/s-0038-1666986
  36. Kramer NM, O’Mahony S, Deamant C. Brain death determination and communication: an innovative approach using simulation and standardized patients. J Pain Symptom Manage. 2022;63:e765-e772. doi:10.1016/j.jpainsymman.2022.01.020
  37. Sloane KL, Miller JJ, Piquet A, et al. Prognostication in acute neurological emergencies. J Stroke Cerebrovasc Dis. 2022;31:106277. doi:10.1016/J.JSTROKECEREBROVASDIS.2021.106277
  38. Kurzweil AM, Lewis A, Pleninger P, et al. Education research: teaching and assessing communication and professionalism in neurology residency with simulation. Neurology. 2020;94:229-232. doi:10.1212/WNL.0000000000008895
  39. Morris NA, Chang WT, Tabatabai A, et al. Development of neurological emergency simulations for assessment: content evidence and response process. Neurocrit Care. 2021;35:389-396. doi:10.1007/S12028-020-01176-Y
  40. De Faria JWV, Teixeira MJ, De Moura Sousa Júnior L, et al. Virtual and stereoscopic anatomy: when virtual reality meets medical education. J Neurosurg. 2016;125:1105-1111. doi:10.3171/2015.8.JNS141563
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Sim and Learn: Simulation and its Value in Neurology Education

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The Litter Olympics: Addressing Individual Critical Tasks Lists Requirements in a Forward-Deployed Setting

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The Litter Olympics: Addressing Individual Critical Tasks Lists Requirements in a Forward-Deployed Setting

Military medical personnel rely on individual critical tasks lists (ICTLs) to maintain proficiency in essential medical skills during deployments. However, sustaining these competencies in a low-casualty operational setting presents unique challenges. Traditional training methods, such as lectures or simulations outside operational contexts, may lack engagement and fail to replicate the stressors of real-world scenarios. Previous research has emphasized the importance of continuous medical readiness training in austere environments, highlighting the need for innovative approaches.1,2

The Litter Olympics was developed as an in-theater training exercise designed to enhance medical readiness, foster interdisciplinary teamwork, and incorporate physical exertion into skill maintenance. By requiring teams to carry a patient litter through multiple “events,” the exercise reinforced teamwork within a medical readiness-focused series inspired by an Olympic decathlon. This article discusses the feasibility, effectiveness, and potential impact of the Litter Olympics as a training tool for maintaining ICTLs in a deployed environment.

Program

The Litter Olympics were implemented at a Role 3 medical facility in Baghdad, Iraq, where teams composed of individuals from military occupational specialties (MOSs) and areas of concentration (AOCs) participated. Role 3 facilities provide specialty surgical and critical care capabilities, enabling a robust medical training environment.3 The event was designed to reflect the interdisciplinary nature of deployed medical teams and incorporated hands-on training stations covering critical medical skills such as traction splinting, spinal precautions, patient movement, hemorrhage control, airway management, and tactical evacuation procedures.

Tasks were selected based on their relevance to deployed medical care and their inclusion in ICTLs, ensuring alignment with mission-essential skills. Participants were evaluated on task completion, efficiency, and teamwork by experienced medical personnel. Postexercise surveys assessed skill improvement, confidence levels, and areas for refinement. Future studies should incorporate structured performance metrics, such as pre- and postevent evaluations, to quantify proficiency gains (Table 1).

FDP04211427_T1

Five mixed MOS/AOC teams participated in the event, completing the exercise in an average time of 50 minutes (Table 2). Participants reported increased confidence in performing ICTs, particularly in patient movement, hemorrhage control, and airway management. The interdisciplinary nature of the teams facilitated peer teaching and cross-training, allowing individuals to better understand each other’s roles and responsibilities. This mirrors findings in previous studies on predeployment training that emphasize the importance of collaborative, hands-on learning.4 The physical aspect of the exercise was well received, as it simulated operational conditions and reinforced endurance in high-stress environments. Some tasks, such as cricothyroidotomy and satellite radio setup, required additional instruction, highlighting areas for improvement in future iterations.

FDP04211427_T2

Discussion

The Litter Olympics provide a dynamic alternative to traditional classroom instruction by integrating realistic, scenario-based training. However, several limitations were identified. The most significant was the lack of formalized outcome metrics. While qualitative feedback was overwhelmingly positive, no structured performance assessment tool, such as pre- and postevent skill evaluations, was used. Future studies should incorporate objective measures of competency to strengthen the evidence base for this training model. Additionally, participant feedback suggested that more structured debriefing sessions postexercise would enhance learning retention and provide actionable insights for future program modifications.

Another consideration is the scalability and adaptability of the exercise. While effective in a Role 3 setting, modifications may be required for smaller units or lower levels of care. Future iterations could adapt the format for Role 1 or 2 environments by reducing the number of stations while preserving the core training elements. Furthermore, the event relied on access to specialized personnel and equipment, which may not always be feasible in austere settings. Developing a streamlined version focusing on essential tasks could improve accessibility and sustainability across different operational environments.

Participants expressed a preference for this hands-on, competitive training model over traditional didactic instruction. However, further research should compare skill retention rates between the Litter Olympics and other training modalities to validate effectiveness. While peer teaching was a notable strength of the event, structured mentorship from senior medical personnel could further enhance skill acquisition and reinforce best practices.

Conclusions

The Litter Olympics present a reproducible, engaging, and effective method for sustaining medical readiness in a deployed Role 3 setting. By fostering interdisciplinary collaboration and incorporating physical and cognitive stressors, it enhances both individual and team preparedness. Future research should develop standardized, measurable outcome assessments, explore application in diverse deployment settings, and optimize scalability for broader military medical training programs. Standardized evaluation tools should be developed to quantify performance improvements, and the training model should be expanded to include lower levels of care and nonmedical personnel. Structured debriefing sessions would also provide valuable insight into lessons learned and potential refinements. By integrating these enhancements, the Litter Olympics can serve as a cornerstone for maintaining operational medical readiness in deployed environments.

References
  1. Suresh MR, Valdez-Delgado KK, Staudt AM, et al. An assessment of pre-deployment training for army nurses and medics. Mil Med. 2021;186:203-211. doi:10.1093/milmed/usaa291
  2. Mead KC, Tennent DJ, Stinner DJ. The importance of medical readiness training exercises: maintaining medical readiness in a low-volume combat casualty flow era. Mil Med. 2017;182:e1734-e1737. doi:10.7205/milmed-d-16-00335
  3. Brisebois R, Hennecke P, Kao R, et al. The Role 3 multinational medical nit at Kandahar airfield 2005–2010. Can J Surg. 2011;54:S124-S129. doi:10.1503/cjs.024811
  4. Huh J, Brockmeyer JR, Bertsch SR, et al. Conducting pre-deployment training in Honduras: the 240th forward resuscitative surgical team experience. Mil Med. 2021;187:e690-e695. doi:10.1093/milmed/usaa545
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Correspondence: Christopher Mitchell (christopheramitchell@ gmail.com)

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aCarl R. Darnall Army Medical Center, Fort Cavazos, Texas 
bMadigan Army Medical Center, Tacoma, Washington 
cWalter Reed National Military Medical Center, Bethesda, Maryland

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0651

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aCarl R. Darnall Army Medical Center, Fort Cavazos, Texas 
bMadigan Army Medical Center, Tacoma, Washington 
cWalter Reed National Military Medical Center, Bethesda, Maryland

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0651

Author and Disclosure Information

Angelica L. Jones, MDa; John P. Kuckelman, DOb; Jason S. Radowsky, MDc; Christopher A. Mitchell, MDa

Correspondence: Christopher Mitchell (christopheramitchell@ gmail.com)

Author affiliations
aCarl R. Darnall Army Medical Center, Fort Cavazos, Texas 
bMadigan Army Medical Center, Tacoma, Washington 
cWalter Reed National Military Medical Center, Bethesda, Maryland

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(11). Published online November 14. doi:10.12788/fp.0651

Article PDF
Article PDF

Military medical personnel rely on individual critical tasks lists (ICTLs) to maintain proficiency in essential medical skills during deployments. However, sustaining these competencies in a low-casualty operational setting presents unique challenges. Traditional training methods, such as lectures or simulations outside operational contexts, may lack engagement and fail to replicate the stressors of real-world scenarios. Previous research has emphasized the importance of continuous medical readiness training in austere environments, highlighting the need for innovative approaches.1,2

The Litter Olympics was developed as an in-theater training exercise designed to enhance medical readiness, foster interdisciplinary teamwork, and incorporate physical exertion into skill maintenance. By requiring teams to carry a patient litter through multiple “events,” the exercise reinforced teamwork within a medical readiness-focused series inspired by an Olympic decathlon. This article discusses the feasibility, effectiveness, and potential impact of the Litter Olympics as a training tool for maintaining ICTLs in a deployed environment.

Program

The Litter Olympics were implemented at a Role 3 medical facility in Baghdad, Iraq, where teams composed of individuals from military occupational specialties (MOSs) and areas of concentration (AOCs) participated. Role 3 facilities provide specialty surgical and critical care capabilities, enabling a robust medical training environment.3 The event was designed to reflect the interdisciplinary nature of deployed medical teams and incorporated hands-on training stations covering critical medical skills such as traction splinting, spinal precautions, patient movement, hemorrhage control, airway management, and tactical evacuation procedures.

Tasks were selected based on their relevance to deployed medical care and their inclusion in ICTLs, ensuring alignment with mission-essential skills. Participants were evaluated on task completion, efficiency, and teamwork by experienced medical personnel. Postexercise surveys assessed skill improvement, confidence levels, and areas for refinement. Future studies should incorporate structured performance metrics, such as pre- and postevent evaluations, to quantify proficiency gains (Table 1).

FDP04211427_T1

Five mixed MOS/AOC teams participated in the event, completing the exercise in an average time of 50 minutes (Table 2). Participants reported increased confidence in performing ICTs, particularly in patient movement, hemorrhage control, and airway management. The interdisciplinary nature of the teams facilitated peer teaching and cross-training, allowing individuals to better understand each other’s roles and responsibilities. This mirrors findings in previous studies on predeployment training that emphasize the importance of collaborative, hands-on learning.4 The physical aspect of the exercise was well received, as it simulated operational conditions and reinforced endurance in high-stress environments. Some tasks, such as cricothyroidotomy and satellite radio setup, required additional instruction, highlighting areas for improvement in future iterations.

FDP04211427_T2

Discussion

The Litter Olympics provide a dynamic alternative to traditional classroom instruction by integrating realistic, scenario-based training. However, several limitations were identified. The most significant was the lack of formalized outcome metrics. While qualitative feedback was overwhelmingly positive, no structured performance assessment tool, such as pre- and postevent skill evaluations, was used. Future studies should incorporate objective measures of competency to strengthen the evidence base for this training model. Additionally, participant feedback suggested that more structured debriefing sessions postexercise would enhance learning retention and provide actionable insights for future program modifications.

Another consideration is the scalability and adaptability of the exercise. While effective in a Role 3 setting, modifications may be required for smaller units or lower levels of care. Future iterations could adapt the format for Role 1 or 2 environments by reducing the number of stations while preserving the core training elements. Furthermore, the event relied on access to specialized personnel and equipment, which may not always be feasible in austere settings. Developing a streamlined version focusing on essential tasks could improve accessibility and sustainability across different operational environments.

Participants expressed a preference for this hands-on, competitive training model over traditional didactic instruction. However, further research should compare skill retention rates between the Litter Olympics and other training modalities to validate effectiveness. While peer teaching was a notable strength of the event, structured mentorship from senior medical personnel could further enhance skill acquisition and reinforce best practices.

Conclusions

The Litter Olympics present a reproducible, engaging, and effective method for sustaining medical readiness in a deployed Role 3 setting. By fostering interdisciplinary collaboration and incorporating physical and cognitive stressors, it enhances both individual and team preparedness. Future research should develop standardized, measurable outcome assessments, explore application in diverse deployment settings, and optimize scalability for broader military medical training programs. Standardized evaluation tools should be developed to quantify performance improvements, and the training model should be expanded to include lower levels of care and nonmedical personnel. Structured debriefing sessions would also provide valuable insight into lessons learned and potential refinements. By integrating these enhancements, the Litter Olympics can serve as a cornerstone for maintaining operational medical readiness in deployed environments.

Military medical personnel rely on individual critical tasks lists (ICTLs) to maintain proficiency in essential medical skills during deployments. However, sustaining these competencies in a low-casualty operational setting presents unique challenges. Traditional training methods, such as lectures or simulations outside operational contexts, may lack engagement and fail to replicate the stressors of real-world scenarios. Previous research has emphasized the importance of continuous medical readiness training in austere environments, highlighting the need for innovative approaches.1,2

The Litter Olympics was developed as an in-theater training exercise designed to enhance medical readiness, foster interdisciplinary teamwork, and incorporate physical exertion into skill maintenance. By requiring teams to carry a patient litter through multiple “events,” the exercise reinforced teamwork within a medical readiness-focused series inspired by an Olympic decathlon. This article discusses the feasibility, effectiveness, and potential impact of the Litter Olympics as a training tool for maintaining ICTLs in a deployed environment.

Program

The Litter Olympics were implemented at a Role 3 medical facility in Baghdad, Iraq, where teams composed of individuals from military occupational specialties (MOSs) and areas of concentration (AOCs) participated. Role 3 facilities provide specialty surgical and critical care capabilities, enabling a robust medical training environment.3 The event was designed to reflect the interdisciplinary nature of deployed medical teams and incorporated hands-on training stations covering critical medical skills such as traction splinting, spinal precautions, patient movement, hemorrhage control, airway management, and tactical evacuation procedures.

Tasks were selected based on their relevance to deployed medical care and their inclusion in ICTLs, ensuring alignment with mission-essential skills. Participants were evaluated on task completion, efficiency, and teamwork by experienced medical personnel. Postexercise surveys assessed skill improvement, confidence levels, and areas for refinement. Future studies should incorporate structured performance metrics, such as pre- and postevent evaluations, to quantify proficiency gains (Table 1).

FDP04211427_T1

Five mixed MOS/AOC teams participated in the event, completing the exercise in an average time of 50 minutes (Table 2). Participants reported increased confidence in performing ICTs, particularly in patient movement, hemorrhage control, and airway management. The interdisciplinary nature of the teams facilitated peer teaching and cross-training, allowing individuals to better understand each other’s roles and responsibilities. This mirrors findings in previous studies on predeployment training that emphasize the importance of collaborative, hands-on learning.4 The physical aspect of the exercise was well received, as it simulated operational conditions and reinforced endurance in high-stress environments. Some tasks, such as cricothyroidotomy and satellite radio setup, required additional instruction, highlighting areas for improvement in future iterations.

FDP04211427_T2

Discussion

The Litter Olympics provide a dynamic alternative to traditional classroom instruction by integrating realistic, scenario-based training. However, several limitations were identified. The most significant was the lack of formalized outcome metrics. While qualitative feedback was overwhelmingly positive, no structured performance assessment tool, such as pre- and postevent skill evaluations, was used. Future studies should incorporate objective measures of competency to strengthen the evidence base for this training model. Additionally, participant feedback suggested that more structured debriefing sessions postexercise would enhance learning retention and provide actionable insights for future program modifications.

Another consideration is the scalability and adaptability of the exercise. While effective in a Role 3 setting, modifications may be required for smaller units or lower levels of care. Future iterations could adapt the format for Role 1 or 2 environments by reducing the number of stations while preserving the core training elements. Furthermore, the event relied on access to specialized personnel and equipment, which may not always be feasible in austere settings. Developing a streamlined version focusing on essential tasks could improve accessibility and sustainability across different operational environments.

Participants expressed a preference for this hands-on, competitive training model over traditional didactic instruction. However, further research should compare skill retention rates between the Litter Olympics and other training modalities to validate effectiveness. While peer teaching was a notable strength of the event, structured mentorship from senior medical personnel could further enhance skill acquisition and reinforce best practices.

Conclusions

The Litter Olympics present a reproducible, engaging, and effective method for sustaining medical readiness in a deployed Role 3 setting. By fostering interdisciplinary collaboration and incorporating physical and cognitive stressors, it enhances both individual and team preparedness. Future research should develop standardized, measurable outcome assessments, explore application in diverse deployment settings, and optimize scalability for broader military medical training programs. Standardized evaluation tools should be developed to quantify performance improvements, and the training model should be expanded to include lower levels of care and nonmedical personnel. Structured debriefing sessions would also provide valuable insight into lessons learned and potential refinements. By integrating these enhancements, the Litter Olympics can serve as a cornerstone for maintaining operational medical readiness in deployed environments.

References
  1. Suresh MR, Valdez-Delgado KK, Staudt AM, et al. An assessment of pre-deployment training for army nurses and medics. Mil Med. 2021;186:203-211. doi:10.1093/milmed/usaa291
  2. Mead KC, Tennent DJ, Stinner DJ. The importance of medical readiness training exercises: maintaining medical readiness in a low-volume combat casualty flow era. Mil Med. 2017;182:e1734-e1737. doi:10.7205/milmed-d-16-00335
  3. Brisebois R, Hennecke P, Kao R, et al. The Role 3 multinational medical nit at Kandahar airfield 2005–2010. Can J Surg. 2011;54:S124-S129. doi:10.1503/cjs.024811
  4. Huh J, Brockmeyer JR, Bertsch SR, et al. Conducting pre-deployment training in Honduras: the 240th forward resuscitative surgical team experience. Mil Med. 2021;187:e690-e695. doi:10.1093/milmed/usaa545
References
  1. Suresh MR, Valdez-Delgado KK, Staudt AM, et al. An assessment of pre-deployment training for army nurses and medics. Mil Med. 2021;186:203-211. doi:10.1093/milmed/usaa291
  2. Mead KC, Tennent DJ, Stinner DJ. The importance of medical readiness training exercises: maintaining medical readiness in a low-volume combat casualty flow era. Mil Med. 2017;182:e1734-e1737. doi:10.7205/milmed-d-16-00335
  3. Brisebois R, Hennecke P, Kao R, et al. The Role 3 multinational medical nit at Kandahar airfield 2005–2010. Can J Surg. 2011;54:S124-S129. doi:10.1503/cjs.024811
  4. Huh J, Brockmeyer JR, Bertsch SR, et al. Conducting pre-deployment training in Honduras: the 240th forward resuscitative surgical team experience. Mil Med. 2021;187:e690-e695. doi:10.1093/milmed/usaa545
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A True Community: The Vet-to-Vet Program for Chronic Pain

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A True Community: The Vet-to-Vet Program for Chronic Pain

The Veterans Health Administration (VHA) has continued to advance its understanding and treatment of chronic pain. The VHA National Pain Management Strategy emphasizes the significance of the social context of pain while underscoring the importance of self-management.1 This established strategy ensures that all veterans have access to the appropriate pain care in the proper setting.2 VHA has instituted a stepped care model of pain management, delineating the domains of primary care, secondary consultative services, and tertiary care.3 This directive emphasized a biopsychosocial approach to pain management to prioritize the relationship between biological, psychological, and social factors that influence how veterans experience pain and should commensurately influence how it is managed.

The VHA Office of Patient-Centered Care and Cultural Transformation implemented the Whole Health System of Care as part of the Comprehensive Addiction and Recovery Act, which included a VHA directive to expand pain management.4,5 Reorientation within this system shifts from defining veterans as passive care recipients to viewing them as active partners in their own care and health. This partnership places additional emphasis on peer-led explorations of mission, aspiration, and purpose.6

Peer-led groups, also known as mutual aid, mutual support, and mutual help groups, have historically been successful for patients undergoing treatment for substance use disorders (eg, Alcoholics Anonymous).7 Mutual help groups have 3 defining characteristics. First, they are run by participants, not professionals, though the latter may have been integral in the founding of the groups. Second, participants share a similar problem (eg, disease state, experience, disposition). Finally, there is a reciprocal exchange of information and psychological support among participants.8,9 Mutual help groups that address chronic pain are rare but becoming more common.10-12 Emerging evidence suggests a positive relationship between peer support and improved well-being, self-efficacy, pain management, and pain self-management skills (eg, activity pacing).13-15

Storytelling as a tool for healing has a long history in indigenous and Western medical traditions.16-19 This includes the treatment of chronic disease, including pain.20,21 The use of storytelling in health care overlaps with the role it plays within many mutual help groups focused on chronic disease treatment.22 Storytelling allows an individual to share their experience with a disease, and take a more active role in their health, and facilitate stronger bonds with others.22 In effect, storytelling is not only important to group cohesion—it also plays a role in an individual’s healing.

Vet-to-Vet

The VHA Office of Rural Health funds Vet-to-Vet, a peer-to-peer program to address limited access to care for rural veterans with chronic pain. Similar to the VHA National Pain Management Strategy, Vet-to-Vet is grounded in the significance of the social context of pain and underscores the importance of self-management.1 The program combines pain care, mutual help, and storytelling to support veterans living with chronic pain. While the primary focus of Vet-to-Vet is rural veterans, the program serves any veteran experiencing chronic pain who is isolated from services, including home-bound urban veterans.

Following mutual help principles, Vet-to-Vet peer facilitators lead weekly online drop-in meetings. Meetings follow the general structure of reiterating group ground rules and sharing an individual pain story, followed by open discussions centered on well-being, chronic pain management, or any topic the group wishes to discuss. Meetings typically end with a mindfulness exercise. The organizational structure that supports Vet-to-Vet includes the implementation support team, site leads, Vet-to-Vet peer facilitators, and national partners (Figure 1).

FDP04211416_F1
FIGURE 1. Vet-to-Vet Support Structure

Implementation Support Team

The implementation support team consists of a principal investigator, coinvestigator, program manager, and program support specialist. The team provides facilitator training, monthly community practice sessions for Vet-to-Vet peer facilitators and site leads, and weekly office hours for site leads. The implementation support team also recruits new Vet-to-Vet sites; potential new locations ideally have an existing whole health program, leadership support, committed site and cosite leads, and ≥ 3 peer facilitator volunteers.

Site Leads

Most site and cosite leads are based in whole health or pain management teams and are whole health coaches or peer support specialists. The site lead is responsible for standing up the program and documenting encounters, recruiting and supporting peer facilitators and participants, and overseeing the meeting. During meetings, site leads generally leave their cameras off and only speak when called into the group; the peer facilitators lead the meetings. The implementation support team recommends that site leads dedicate ≥ 4 hours per week to Vet-to-Vet; 2 hours for weekly group meetings and 2 hours for documentation (ie, entering notes into the participants’ electronic health records) and supporting peer facilitators and participants. Cosite lead responsibilities vary by location, with some sites having 2 leads that equally share duties and others having a primary lead and a colead available if the site lead is unable to attend a meeting.

Vet-to-Vet Peer Facilitators

Peer facilitators are the core of the program. They lead meetings from start to finish. Like participants, they also experience chronic pain and are volunteers. The implementation support team encourages sites to establish volunteer peer facilitators, rather than assigning peer support specialists to facilitate meetings. Veterans are eager to connect and give back to their communities, and the Vet-to-Vet peer facilitator role is an opportunity for those unable to work to connect with peers and add meaning to their lives. Even if a VHA employee is a veteran who has chronic pain, they are not eligible to serve as this could create a service provider/service recipient dynamic that is not in the spirit of mutual help.

Vet-to-Vet peer facilitators attend a virtual 3-day training held by the implementation support team prior to starting. These training sessions are available on a quarterly basis and facilitated by the Vet-to-Vet program manager and 2 current peer facilitators. Training content includes established whole health facilitator training materials and program-specific storytelling training materials. Once trained, peer facilitators attend storytelling practice sessions and collaborate with their site leads during weekly meetings.

Participants

Vet-to-Vet participants find the program through direct outreach from site leads, word of mouth, and referrals. The only criteria to join are that the individual is a veteran who experiences chronic pain and is enrolled in the VHA (site leads can assist with enrollment if needed). Participants are not required to have a diagnosis or engage in any other health care. There is no commitment and no end date. Some participants only come once; others have attended for > 3 years. This approach is intended to embrace the idea that the need for support ebbs and flows.

National Partners

The VHA Office of Rural Health provides technical support. The Center for Development and Civic Engagement onboards peer facilitators as VHA volunteers. The Office of Patient-Centered Care and Cultural Transformation provides national guidance and site-level collaboration. The VHA Pain Management, Opioid Safety, and Prescription Drug Monitoring Program supports site recruitment. In addition to the VHA partners, 4 veteran evaluation consultants who have experience with chronic pain but do not participate in Vet-to-Vet meetings provide advice on evaluation activities, such as question development and communication strategies.

Evaluation

This evaluation shares preliminary results from a pilot evaluation of the Rocky Mountain Regional VA Medical Center (RMRVAMC) Vet-to-Vet group. It is intended for program improvement, was deemed nonresearch by the Colorado Multiple Institutional Review Board, and was structured using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework.23 This evaluation focused on capturing measures related to reach and effectiveness, while a forthcoming evaluation includes elements of adoption, implementation, and maintenance.

In 2022, 16 Vet-to-Vet peer facilitators and participants completed surveys and interviews to share their experience. Interviews were recorded, transcribed, and coded in ATLAS.ti. A priori codes were based on interview guide questions and emergent descriptive codes were used to identify specific topics which were categorized into RE-AIM domains, barriers, facilitators, what participants learned, how participants applied what they learned to their lives, and participant reported outcomes. This article contains high-level findings from the evaluation; more detailed results will be included in the ongoing evaluation.

Results

The RMRVAMC Vet-to-Vet group has met weekly since April 2022. Four Vet-to-Vet peer facilitators and 12 individuals participated in the pilot Vet-to-Vet group and evaluation. The mean age was 62 years, most were men, and half were married. Most participants lived in rural areas with a mean distance of 125 miles to the nearest VAMC. Many experienced multiple kinds of pain, with a mean 4.5 on a 10-point scale (bothered “a lot”). All participants reported that they experienced pain daily.

Participation in Vet-to-Vet meetings was high; 3 of 4 peer facilitators and 7 of 12 participants completed the first 6 months of the program. In interviews, participants described the positive impact of the program. They emphasized the importance of connecting with other veterans and helping one another, with one noting that opportunities to connect with other veterans “just drops off a lot” (peer facilitator 3) after leaving active duty.

Some participants and Vet-to-Vet peer facilitators outlined the content of the sessions (eg, learning about how pain impacts the body and one’s family relationships) and shared the skills they learned (eg, goal setting, self-advocacy) (Table). Most spoke about learning from one another and the power of sharing stories with one peer facilitator sharing how they felt that witnessing another participant’s story “really shifted how I was thinking about things and how I perceived people” (peer facilitator 1). 

FDP04211416_T1

Participants reported several ways the program impacted their lives, such as learning that they could get help, how to get help, and how to overcome the mental aspects of chronic pain. One veteran shared profound health impacts and attributed the Vet-to-Vet program to having one of the best years of their life. Even those who did not attend many meetings spoke of it positively and stated that it should continue so others could try (Table).

From January 2022 to September 2025, > 80 veterans attended ≥ 1 meeting at RMRVAMC; 29 attended ≥ 1 meeting in the last quarter. There were > 1400 Vet-to-Vet encounters at RMRVAMC, with a mean (SD) of 14.2 (19.2) and a median of 4.5 encounters per participant. Half of the veterans attend ≥ 5 meetings, and one-third attended ≥ 10 meetings.

Since June 2023, 15 additional VHA facilities launched Vet-to-Vet programs. As of October 2025, > 350 veterans have participated in ≥ 1 Vet-to-Vet meeting, totaling > 4500 Vet-to-Vet encounters since the program’s inception (Figure 2).

FDP04211416_F2
FIGURE 2. Vet-to-Vet Facility Locations

Challenges

The RMRVAMC site and cosite leads are part of the national implementation team and dedicate substantial time to developing the program: 40 and 10 hours per week, respectively. Site leads at new locations do not receive funding for Vet-to-Vet activities and are recommended to dedicate only 4 hours per week to the program. Formally embedding Vet-to-Vet into the site leads’ roles is critical for sustainment.

The Vet-to-Vet model has changed. The initial Vet-to-Vet cohort included the 6-week Taking Charge of My Life and Health curriculum prior to moving to the mutual help format.24 While this curriculum still informs peer facilitator training, it is not used in new groups. It has anecdotally been reported that this change was positive, but the impact of this adaptation is unknown.

This evaluation cohort was small (16 participants) and initial patient reported and administrative outcomes were inconclusive. However, most veterans who stopped participating in Vet-to-Vet spoke fondly of their experiences with the program.

CONCLUSIONS

Vet-to-Vet is a promising new initiative to support self-management and social connection in chronic pain care. The program employs a mutual help approach and storytelling to empower veterans living with chronic pain. The effectiveness of these strategies will be evaluated, which will inform its continued growth. The program's current goals focus on sustainment at existing sites and expansion to new sites to reach more rural veterans across the VA enterprise. While Vet-to-Vet is designed to serve those who experience chronic pain, a partnership with the Office of Whole Health has established goals to begin expanding this model to other chronic conditions in 2026.

References
  1. Kerns RD, Philip EJ, Lee AW, Rosenberger PH. Implementation of the Veterans Health Administration national pain management strategy. Transl Behav Med. 2011;1:635-643. doi:10.1007/s13142-011-0094-3
  2. Pain Management, Opioid Safety, and PDMP (PMOP). US Department of Veterans Affairs. Updated August 21, 2025. Accessed September 25, 2025. https://www.va.gov/PAINMANAGEMENT/Providers/IntegratedTeambasedPainCare.asp
  3. US Department of Veterans Affairs. VHA Directive 2009-053. October 28, 2009. Accessed September 25, 2025. https://www.va.gov/PAINMANAGEMENT/docs/VHA09PainDirective.pdf
  4. Comprehensive Addiction and Recovery Act of 2016, S524, 114th Cong (2015-2016). Pub L No. 114-198. July 22, 2016. Accessed September 25, 2025. https://www.congress.gov/bill/114th-congress/senate-bill/524
  5. Bokhour B, Hyde J, Zeliadt, Mohr D. Whole Health System of Care Evaluation. US Department of Veterans Affairs. February 18, 2020. Accessed September 25, 2025. https://www.va.gov/WHOLEHEALTH/docs/EPCC_WHSevaluation_FinalReport_508.pdf
  6. Gaudet T, Kligler B. Whole health in the whole system of the veterans administration: how will we know we have reached this future state? J Altern Complement Med. 2019;25:S7-S11. doi:10.1089/acm.2018.29061.gau
  7. Kelly JF, Yeterian JD. The role of mutual-help groups in extending the framework of treatment. Alcohol Res Health. 2011;33:350-355.
  8. Humphreys K. Self-help/mutual aid organizations: the view from Mars. Subst Use Misuse. 1997;32:2105-2109. doi:10.3109/10826089709035622
  9. Chinman M, Kloos B, O’Connell M, Davidson L. Service providers’ views of psychiatric mutual support groups. J Community Psychol. 2002;30:349-366. doi:10.1002/jcop.10010
  10. Shue SA, McGuire AB, Matthias MS. Facilitators and barriers to implementation of a peer support intervention for patients with chronic pain: a qualitative study. Pain Med. 2019;20:1311-1320. doi:10.1093/pm/pny229
  11. Pester BD, Tankha H, Caño A, et al. Facing pain together: a randomized controlled trial of the effects of Facebook support groups on adults with chronic pain. J Pain. 2022;23:2121-2134. doi:10.1016/j.jpain.2022.07.013
  12. Matthias MS, McGuire AB, Kukla M, Daggy J, Myers LJ, Bair MJ. A brief peer support intervention for veterans with chronic musculoskeletal pain: a pilot study of feasibility and effectiveness. Pain Med. 2015;16:81-87. doi:10.1111/pme.12571
  13. Finlay KA, Elander J. Reflecting the transition from pain management services to chronic pain support group attendance: an interpretative phenomenological analysis. Br J Health Psychol. 2016;21:660-676. doi:10.1111/bjhp.12194
  14. Finlay KA, Peacock S, Elander J. Developing successful social support: an interpretative phenomenological analysis of mechanisms and processes in a chronic pain support group. Psychol Health. 2018;33:846-871. doi:10.1080/08870446.2017.1421188
  15. Farr M, Brant H, Patel R, et al. Experiences of patient-led chronic pain peer support groups after pain management programs: a qualitative study. Pain Med. 2021;22:2884-2895. doi:10.1093/pm/pnab189
  16. Mehl-Madrona L. Narrative Medicine: The Use of History and Story in the Healing Process. Bear & Company; 2007.
  17. Fioretti C, Mazzocco K, Riva S, Oliveri S, Masiero M, Pravettoni G. Research studies on patients’ illness experience using the Narrative Medicine approach: a systematic review. BMJ Open. 2016;6:e011220. doi:10.1136/bmjopen-2016-011220
  18. Hall JM, Powell J. Understanding the person through narrative. Nurs Res Pract. 2011;2011:293837. doi:10.1155/2011/293837
  19. Ricks L, Kitchens S, Goodrich T, Hancock E. My story: the use of narrative therapy in individual and group counseling. J Creat Ment Health. 2014;9:99-110. doi:10.1080/15401383.2013.870947
  20. Hydén L-C. Illness and narrative. Sociol Health Illn. 1997;19:48-69. doi:10.1111/j.1467-9566.1997.tb00015.x
  21. Georgiadis E, Johnson MI. Incorporating personal narratives in positive psychology interventions to manage chronic pain. Front Pain Res (Lausanne). 2023;4:1253310. doi:10.3389/fpain.2023.1253310
  22. Gucciardi E, Jean-Pierre N, Karam G, Sidani S. Designing and delivering facilitated storytelling interventions for chronic disease self-management: a scoping review. BMC Health Serv Res. 2016;16:249. doi:10.1186/s12913-016-1474-7
  23. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89:1322-1327. doi:10.2105/ajph.89.9.1322
  24. Abadi M, Richard B, Shamblen S, et al. Achieving whole health: a preliminary study of TCMLH, a group-based program promoting self-care and empowerment among veterans. Health Educ Behav. 2022;49:347-357. doi:10.1177/10901981211011043
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Rachael R. Kenney, MAa; Drew Herbert, MSN, MA, APRNa; Reed A. Hale, BAa; John Standen Evans II, BBAa; Vanessa Cameronb; TSgt Brian Schaaf, USAF (Ret)c; Joseph W. Frank, MD, MPHa,d

Correspondence: Rachael Kenney (rachael.kenney@va.gov)

Author affiliations 

aSeattle Denver Care of Innovation, Veterans Affairs Eastern Colorado Health Care System, Aurora  
bVet-to-Vet Peer Facilitator, Whidbey Island, Washington  
cVet-to-Vet Peer Facilitator, Colorado Springs, Colorado  
dUniversity of Colorado School of Medicine, Aurora

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(11). Published online November 16. doi:10.12788/fp.0646

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Correspondence: Rachael Kenney (rachael.kenney@va.gov)

Author affiliations 

aSeattle Denver Care of Innovation, Veterans Affairs Eastern Colorado Health Care System, Aurora  
bVet-to-Vet Peer Facilitator, Whidbey Island, Washington  
cVet-to-Vet Peer Facilitator, Colorado Springs, Colorado  
dUniversity of Colorado School of Medicine, Aurora

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(11). Published online November 16. doi:10.12788/fp.0646

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Rachael R. Kenney, MAa; Drew Herbert, MSN, MA, APRNa; Reed A. Hale, BAa; John Standen Evans II, BBAa; Vanessa Cameronb; TSgt Brian Schaaf, USAF (Ret)c; Joseph W. Frank, MD, MPHa,d

Correspondence: Rachael Kenney (rachael.kenney@va.gov)

Author affiliations 

aSeattle Denver Care of Innovation, Veterans Affairs Eastern Colorado Health Care System, Aurora  
bVet-to-Vet Peer Facilitator, Whidbey Island, Washington  
cVet-to-Vet Peer Facilitator, Colorado Springs, Colorado  
dUniversity of Colorado School of Medicine, Aurora

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Fed Pract. 2025;42(11). Published online November 16. doi:10.12788/fp.0646

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Article PDF

The Veterans Health Administration (VHA) has continued to advance its understanding and treatment of chronic pain. The VHA National Pain Management Strategy emphasizes the significance of the social context of pain while underscoring the importance of self-management.1 This established strategy ensures that all veterans have access to the appropriate pain care in the proper setting.2 VHA has instituted a stepped care model of pain management, delineating the domains of primary care, secondary consultative services, and tertiary care.3 This directive emphasized a biopsychosocial approach to pain management to prioritize the relationship between biological, psychological, and social factors that influence how veterans experience pain and should commensurately influence how it is managed.

The VHA Office of Patient-Centered Care and Cultural Transformation implemented the Whole Health System of Care as part of the Comprehensive Addiction and Recovery Act, which included a VHA directive to expand pain management.4,5 Reorientation within this system shifts from defining veterans as passive care recipients to viewing them as active partners in their own care and health. This partnership places additional emphasis on peer-led explorations of mission, aspiration, and purpose.6

Peer-led groups, also known as mutual aid, mutual support, and mutual help groups, have historically been successful for patients undergoing treatment for substance use disorders (eg, Alcoholics Anonymous).7 Mutual help groups have 3 defining characteristics. First, they are run by participants, not professionals, though the latter may have been integral in the founding of the groups. Second, participants share a similar problem (eg, disease state, experience, disposition). Finally, there is a reciprocal exchange of information and psychological support among participants.8,9 Mutual help groups that address chronic pain are rare but becoming more common.10-12 Emerging evidence suggests a positive relationship between peer support and improved well-being, self-efficacy, pain management, and pain self-management skills (eg, activity pacing).13-15

Storytelling as a tool for healing has a long history in indigenous and Western medical traditions.16-19 This includes the treatment of chronic disease, including pain.20,21 The use of storytelling in health care overlaps with the role it plays within many mutual help groups focused on chronic disease treatment.22 Storytelling allows an individual to share their experience with a disease, and take a more active role in their health, and facilitate stronger bonds with others.22 In effect, storytelling is not only important to group cohesion—it also plays a role in an individual’s healing.

Vet-to-Vet

The VHA Office of Rural Health funds Vet-to-Vet, a peer-to-peer program to address limited access to care for rural veterans with chronic pain. Similar to the VHA National Pain Management Strategy, Vet-to-Vet is grounded in the significance of the social context of pain and underscores the importance of self-management.1 The program combines pain care, mutual help, and storytelling to support veterans living with chronic pain. While the primary focus of Vet-to-Vet is rural veterans, the program serves any veteran experiencing chronic pain who is isolated from services, including home-bound urban veterans.

Following mutual help principles, Vet-to-Vet peer facilitators lead weekly online drop-in meetings. Meetings follow the general structure of reiterating group ground rules and sharing an individual pain story, followed by open discussions centered on well-being, chronic pain management, or any topic the group wishes to discuss. Meetings typically end with a mindfulness exercise. The organizational structure that supports Vet-to-Vet includes the implementation support team, site leads, Vet-to-Vet peer facilitators, and national partners (Figure 1).

FDP04211416_F1
FIGURE 1. Vet-to-Vet Support Structure

Implementation Support Team

The implementation support team consists of a principal investigator, coinvestigator, program manager, and program support specialist. The team provides facilitator training, monthly community practice sessions for Vet-to-Vet peer facilitators and site leads, and weekly office hours for site leads. The implementation support team also recruits new Vet-to-Vet sites; potential new locations ideally have an existing whole health program, leadership support, committed site and cosite leads, and ≥ 3 peer facilitator volunteers.

Site Leads

Most site and cosite leads are based in whole health or pain management teams and are whole health coaches or peer support specialists. The site lead is responsible for standing up the program and documenting encounters, recruiting and supporting peer facilitators and participants, and overseeing the meeting. During meetings, site leads generally leave their cameras off and only speak when called into the group; the peer facilitators lead the meetings. The implementation support team recommends that site leads dedicate ≥ 4 hours per week to Vet-to-Vet; 2 hours for weekly group meetings and 2 hours for documentation (ie, entering notes into the participants’ electronic health records) and supporting peer facilitators and participants. Cosite lead responsibilities vary by location, with some sites having 2 leads that equally share duties and others having a primary lead and a colead available if the site lead is unable to attend a meeting.

Vet-to-Vet Peer Facilitators

Peer facilitators are the core of the program. They lead meetings from start to finish. Like participants, they also experience chronic pain and are volunteers. The implementation support team encourages sites to establish volunteer peer facilitators, rather than assigning peer support specialists to facilitate meetings. Veterans are eager to connect and give back to their communities, and the Vet-to-Vet peer facilitator role is an opportunity for those unable to work to connect with peers and add meaning to their lives. Even if a VHA employee is a veteran who has chronic pain, they are not eligible to serve as this could create a service provider/service recipient dynamic that is not in the spirit of mutual help.

Vet-to-Vet peer facilitators attend a virtual 3-day training held by the implementation support team prior to starting. These training sessions are available on a quarterly basis and facilitated by the Vet-to-Vet program manager and 2 current peer facilitators. Training content includes established whole health facilitator training materials and program-specific storytelling training materials. Once trained, peer facilitators attend storytelling practice sessions and collaborate with their site leads during weekly meetings.

Participants

Vet-to-Vet participants find the program through direct outreach from site leads, word of mouth, and referrals. The only criteria to join are that the individual is a veteran who experiences chronic pain and is enrolled in the VHA (site leads can assist with enrollment if needed). Participants are not required to have a diagnosis or engage in any other health care. There is no commitment and no end date. Some participants only come once; others have attended for > 3 years. This approach is intended to embrace the idea that the need for support ebbs and flows.

National Partners

The VHA Office of Rural Health provides technical support. The Center for Development and Civic Engagement onboards peer facilitators as VHA volunteers. The Office of Patient-Centered Care and Cultural Transformation provides national guidance and site-level collaboration. The VHA Pain Management, Opioid Safety, and Prescription Drug Monitoring Program supports site recruitment. In addition to the VHA partners, 4 veteran evaluation consultants who have experience with chronic pain but do not participate in Vet-to-Vet meetings provide advice on evaluation activities, such as question development and communication strategies.

Evaluation

This evaluation shares preliminary results from a pilot evaluation of the Rocky Mountain Regional VA Medical Center (RMRVAMC) Vet-to-Vet group. It is intended for program improvement, was deemed nonresearch by the Colorado Multiple Institutional Review Board, and was structured using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework.23 This evaluation focused on capturing measures related to reach and effectiveness, while a forthcoming evaluation includes elements of adoption, implementation, and maintenance.

In 2022, 16 Vet-to-Vet peer facilitators and participants completed surveys and interviews to share their experience. Interviews were recorded, transcribed, and coded in ATLAS.ti. A priori codes were based on interview guide questions and emergent descriptive codes were used to identify specific topics which were categorized into RE-AIM domains, barriers, facilitators, what participants learned, how participants applied what they learned to their lives, and participant reported outcomes. This article contains high-level findings from the evaluation; more detailed results will be included in the ongoing evaluation.

Results

The RMRVAMC Vet-to-Vet group has met weekly since April 2022. Four Vet-to-Vet peer facilitators and 12 individuals participated in the pilot Vet-to-Vet group and evaluation. The mean age was 62 years, most were men, and half were married. Most participants lived in rural areas with a mean distance of 125 miles to the nearest VAMC. Many experienced multiple kinds of pain, with a mean 4.5 on a 10-point scale (bothered “a lot”). All participants reported that they experienced pain daily.

Participation in Vet-to-Vet meetings was high; 3 of 4 peer facilitators and 7 of 12 participants completed the first 6 months of the program. In interviews, participants described the positive impact of the program. They emphasized the importance of connecting with other veterans and helping one another, with one noting that opportunities to connect with other veterans “just drops off a lot” (peer facilitator 3) after leaving active duty.

Some participants and Vet-to-Vet peer facilitators outlined the content of the sessions (eg, learning about how pain impacts the body and one’s family relationships) and shared the skills they learned (eg, goal setting, self-advocacy) (Table). Most spoke about learning from one another and the power of sharing stories with one peer facilitator sharing how they felt that witnessing another participant’s story “really shifted how I was thinking about things and how I perceived people” (peer facilitator 1). 

FDP04211416_T1

Participants reported several ways the program impacted their lives, such as learning that they could get help, how to get help, and how to overcome the mental aspects of chronic pain. One veteran shared profound health impacts and attributed the Vet-to-Vet program to having one of the best years of their life. Even those who did not attend many meetings spoke of it positively and stated that it should continue so others could try (Table).

From January 2022 to September 2025, > 80 veterans attended ≥ 1 meeting at RMRVAMC; 29 attended ≥ 1 meeting in the last quarter. There were > 1400 Vet-to-Vet encounters at RMRVAMC, with a mean (SD) of 14.2 (19.2) and a median of 4.5 encounters per participant. Half of the veterans attend ≥ 5 meetings, and one-third attended ≥ 10 meetings.

Since June 2023, 15 additional VHA facilities launched Vet-to-Vet programs. As of October 2025, > 350 veterans have participated in ≥ 1 Vet-to-Vet meeting, totaling > 4500 Vet-to-Vet encounters since the program’s inception (Figure 2).

FDP04211416_F2
FIGURE 2. Vet-to-Vet Facility Locations

Challenges

The RMRVAMC site and cosite leads are part of the national implementation team and dedicate substantial time to developing the program: 40 and 10 hours per week, respectively. Site leads at new locations do not receive funding for Vet-to-Vet activities and are recommended to dedicate only 4 hours per week to the program. Formally embedding Vet-to-Vet into the site leads’ roles is critical for sustainment.

The Vet-to-Vet model has changed. The initial Vet-to-Vet cohort included the 6-week Taking Charge of My Life and Health curriculum prior to moving to the mutual help format.24 While this curriculum still informs peer facilitator training, it is not used in new groups. It has anecdotally been reported that this change was positive, but the impact of this adaptation is unknown.

This evaluation cohort was small (16 participants) and initial patient reported and administrative outcomes were inconclusive. However, most veterans who stopped participating in Vet-to-Vet spoke fondly of their experiences with the program.

CONCLUSIONS

Vet-to-Vet is a promising new initiative to support self-management and social connection in chronic pain care. The program employs a mutual help approach and storytelling to empower veterans living with chronic pain. The effectiveness of these strategies will be evaluated, which will inform its continued growth. The program's current goals focus on sustainment at existing sites and expansion to new sites to reach more rural veterans across the VA enterprise. While Vet-to-Vet is designed to serve those who experience chronic pain, a partnership with the Office of Whole Health has established goals to begin expanding this model to other chronic conditions in 2026.

The Veterans Health Administration (VHA) has continued to advance its understanding and treatment of chronic pain. The VHA National Pain Management Strategy emphasizes the significance of the social context of pain while underscoring the importance of self-management.1 This established strategy ensures that all veterans have access to the appropriate pain care in the proper setting.2 VHA has instituted a stepped care model of pain management, delineating the domains of primary care, secondary consultative services, and tertiary care.3 This directive emphasized a biopsychosocial approach to pain management to prioritize the relationship between biological, psychological, and social factors that influence how veterans experience pain and should commensurately influence how it is managed.

The VHA Office of Patient-Centered Care and Cultural Transformation implemented the Whole Health System of Care as part of the Comprehensive Addiction and Recovery Act, which included a VHA directive to expand pain management.4,5 Reorientation within this system shifts from defining veterans as passive care recipients to viewing them as active partners in their own care and health. This partnership places additional emphasis on peer-led explorations of mission, aspiration, and purpose.6

Peer-led groups, also known as mutual aid, mutual support, and mutual help groups, have historically been successful for patients undergoing treatment for substance use disorders (eg, Alcoholics Anonymous).7 Mutual help groups have 3 defining characteristics. First, they are run by participants, not professionals, though the latter may have been integral in the founding of the groups. Second, participants share a similar problem (eg, disease state, experience, disposition). Finally, there is a reciprocal exchange of information and psychological support among participants.8,9 Mutual help groups that address chronic pain are rare but becoming more common.10-12 Emerging evidence suggests a positive relationship between peer support and improved well-being, self-efficacy, pain management, and pain self-management skills (eg, activity pacing).13-15

Storytelling as a tool for healing has a long history in indigenous and Western medical traditions.16-19 This includes the treatment of chronic disease, including pain.20,21 The use of storytelling in health care overlaps with the role it plays within many mutual help groups focused on chronic disease treatment.22 Storytelling allows an individual to share their experience with a disease, and take a more active role in their health, and facilitate stronger bonds with others.22 In effect, storytelling is not only important to group cohesion—it also plays a role in an individual’s healing.

Vet-to-Vet

The VHA Office of Rural Health funds Vet-to-Vet, a peer-to-peer program to address limited access to care for rural veterans with chronic pain. Similar to the VHA National Pain Management Strategy, Vet-to-Vet is grounded in the significance of the social context of pain and underscores the importance of self-management.1 The program combines pain care, mutual help, and storytelling to support veterans living with chronic pain. While the primary focus of Vet-to-Vet is rural veterans, the program serves any veteran experiencing chronic pain who is isolated from services, including home-bound urban veterans.

Following mutual help principles, Vet-to-Vet peer facilitators lead weekly online drop-in meetings. Meetings follow the general structure of reiterating group ground rules and sharing an individual pain story, followed by open discussions centered on well-being, chronic pain management, or any topic the group wishes to discuss. Meetings typically end with a mindfulness exercise. The organizational structure that supports Vet-to-Vet includes the implementation support team, site leads, Vet-to-Vet peer facilitators, and national partners (Figure 1).

FDP04211416_F1
FIGURE 1. Vet-to-Vet Support Structure

Implementation Support Team

The implementation support team consists of a principal investigator, coinvestigator, program manager, and program support specialist. The team provides facilitator training, monthly community practice sessions for Vet-to-Vet peer facilitators and site leads, and weekly office hours for site leads. The implementation support team also recruits new Vet-to-Vet sites; potential new locations ideally have an existing whole health program, leadership support, committed site and cosite leads, and ≥ 3 peer facilitator volunteers.

Site Leads

Most site and cosite leads are based in whole health or pain management teams and are whole health coaches or peer support specialists. The site lead is responsible for standing up the program and documenting encounters, recruiting and supporting peer facilitators and participants, and overseeing the meeting. During meetings, site leads generally leave their cameras off and only speak when called into the group; the peer facilitators lead the meetings. The implementation support team recommends that site leads dedicate ≥ 4 hours per week to Vet-to-Vet; 2 hours for weekly group meetings and 2 hours for documentation (ie, entering notes into the participants’ electronic health records) and supporting peer facilitators and participants. Cosite lead responsibilities vary by location, with some sites having 2 leads that equally share duties and others having a primary lead and a colead available if the site lead is unable to attend a meeting.

Vet-to-Vet Peer Facilitators

Peer facilitators are the core of the program. They lead meetings from start to finish. Like participants, they also experience chronic pain and are volunteers. The implementation support team encourages sites to establish volunteer peer facilitators, rather than assigning peer support specialists to facilitate meetings. Veterans are eager to connect and give back to their communities, and the Vet-to-Vet peer facilitator role is an opportunity for those unable to work to connect with peers and add meaning to their lives. Even if a VHA employee is a veteran who has chronic pain, they are not eligible to serve as this could create a service provider/service recipient dynamic that is not in the spirit of mutual help.

Vet-to-Vet peer facilitators attend a virtual 3-day training held by the implementation support team prior to starting. These training sessions are available on a quarterly basis and facilitated by the Vet-to-Vet program manager and 2 current peer facilitators. Training content includes established whole health facilitator training materials and program-specific storytelling training materials. Once trained, peer facilitators attend storytelling practice sessions and collaborate with their site leads during weekly meetings.

Participants

Vet-to-Vet participants find the program through direct outreach from site leads, word of mouth, and referrals. The only criteria to join are that the individual is a veteran who experiences chronic pain and is enrolled in the VHA (site leads can assist with enrollment if needed). Participants are not required to have a diagnosis or engage in any other health care. There is no commitment and no end date. Some participants only come once; others have attended for > 3 years. This approach is intended to embrace the idea that the need for support ebbs and flows.

National Partners

The VHA Office of Rural Health provides technical support. The Center for Development and Civic Engagement onboards peer facilitators as VHA volunteers. The Office of Patient-Centered Care and Cultural Transformation provides national guidance and site-level collaboration. The VHA Pain Management, Opioid Safety, and Prescription Drug Monitoring Program supports site recruitment. In addition to the VHA partners, 4 veteran evaluation consultants who have experience with chronic pain but do not participate in Vet-to-Vet meetings provide advice on evaluation activities, such as question development and communication strategies.

Evaluation

This evaluation shares preliminary results from a pilot evaluation of the Rocky Mountain Regional VA Medical Center (RMRVAMC) Vet-to-Vet group. It is intended for program improvement, was deemed nonresearch by the Colorado Multiple Institutional Review Board, and was structured using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework.23 This evaluation focused on capturing measures related to reach and effectiveness, while a forthcoming evaluation includes elements of adoption, implementation, and maintenance.

In 2022, 16 Vet-to-Vet peer facilitators and participants completed surveys and interviews to share their experience. Interviews were recorded, transcribed, and coded in ATLAS.ti. A priori codes were based on interview guide questions and emergent descriptive codes were used to identify specific topics which were categorized into RE-AIM domains, barriers, facilitators, what participants learned, how participants applied what they learned to their lives, and participant reported outcomes. This article contains high-level findings from the evaluation; more detailed results will be included in the ongoing evaluation.

Results

The RMRVAMC Vet-to-Vet group has met weekly since April 2022. Four Vet-to-Vet peer facilitators and 12 individuals participated in the pilot Vet-to-Vet group and evaluation. The mean age was 62 years, most were men, and half were married. Most participants lived in rural areas with a mean distance of 125 miles to the nearest VAMC. Many experienced multiple kinds of pain, with a mean 4.5 on a 10-point scale (bothered “a lot”). All participants reported that they experienced pain daily.

Participation in Vet-to-Vet meetings was high; 3 of 4 peer facilitators and 7 of 12 participants completed the first 6 months of the program. In interviews, participants described the positive impact of the program. They emphasized the importance of connecting with other veterans and helping one another, with one noting that opportunities to connect with other veterans “just drops off a lot” (peer facilitator 3) after leaving active duty.

Some participants and Vet-to-Vet peer facilitators outlined the content of the sessions (eg, learning about how pain impacts the body and one’s family relationships) and shared the skills they learned (eg, goal setting, self-advocacy) (Table). Most spoke about learning from one another and the power of sharing stories with one peer facilitator sharing how they felt that witnessing another participant’s story “really shifted how I was thinking about things and how I perceived people” (peer facilitator 1). 

FDP04211416_T1

Participants reported several ways the program impacted their lives, such as learning that they could get help, how to get help, and how to overcome the mental aspects of chronic pain. One veteran shared profound health impacts and attributed the Vet-to-Vet program to having one of the best years of their life. Even those who did not attend many meetings spoke of it positively and stated that it should continue so others could try (Table).

From January 2022 to September 2025, > 80 veterans attended ≥ 1 meeting at RMRVAMC; 29 attended ≥ 1 meeting in the last quarter. There were > 1400 Vet-to-Vet encounters at RMRVAMC, with a mean (SD) of 14.2 (19.2) and a median of 4.5 encounters per participant. Half of the veterans attend ≥ 5 meetings, and one-third attended ≥ 10 meetings.

Since June 2023, 15 additional VHA facilities launched Vet-to-Vet programs. As of October 2025, > 350 veterans have participated in ≥ 1 Vet-to-Vet meeting, totaling > 4500 Vet-to-Vet encounters since the program’s inception (Figure 2).

FDP04211416_F2
FIGURE 2. Vet-to-Vet Facility Locations

Challenges

The RMRVAMC site and cosite leads are part of the national implementation team and dedicate substantial time to developing the program: 40 and 10 hours per week, respectively. Site leads at new locations do not receive funding for Vet-to-Vet activities and are recommended to dedicate only 4 hours per week to the program. Formally embedding Vet-to-Vet into the site leads’ roles is critical for sustainment.

The Vet-to-Vet model has changed. The initial Vet-to-Vet cohort included the 6-week Taking Charge of My Life and Health curriculum prior to moving to the mutual help format.24 While this curriculum still informs peer facilitator training, it is not used in new groups. It has anecdotally been reported that this change was positive, but the impact of this adaptation is unknown.

This evaluation cohort was small (16 participants) and initial patient reported and administrative outcomes were inconclusive. However, most veterans who stopped participating in Vet-to-Vet spoke fondly of their experiences with the program.

CONCLUSIONS

Vet-to-Vet is a promising new initiative to support self-management and social connection in chronic pain care. The program employs a mutual help approach and storytelling to empower veterans living with chronic pain. The effectiveness of these strategies will be evaluated, which will inform its continued growth. The program's current goals focus on sustainment at existing sites and expansion to new sites to reach more rural veterans across the VA enterprise. While Vet-to-Vet is designed to serve those who experience chronic pain, a partnership with the Office of Whole Health has established goals to begin expanding this model to other chronic conditions in 2026.

References
  1. Kerns RD, Philip EJ, Lee AW, Rosenberger PH. Implementation of the Veterans Health Administration national pain management strategy. Transl Behav Med. 2011;1:635-643. doi:10.1007/s13142-011-0094-3
  2. Pain Management, Opioid Safety, and PDMP (PMOP). US Department of Veterans Affairs. Updated August 21, 2025. Accessed September 25, 2025. https://www.va.gov/PAINMANAGEMENT/Providers/IntegratedTeambasedPainCare.asp
  3. US Department of Veterans Affairs. VHA Directive 2009-053. October 28, 2009. Accessed September 25, 2025. https://www.va.gov/PAINMANAGEMENT/docs/VHA09PainDirective.pdf
  4. Comprehensive Addiction and Recovery Act of 2016, S524, 114th Cong (2015-2016). Pub L No. 114-198. July 22, 2016. Accessed September 25, 2025. https://www.congress.gov/bill/114th-congress/senate-bill/524
  5. Bokhour B, Hyde J, Zeliadt, Mohr D. Whole Health System of Care Evaluation. US Department of Veterans Affairs. February 18, 2020. Accessed September 25, 2025. https://www.va.gov/WHOLEHEALTH/docs/EPCC_WHSevaluation_FinalReport_508.pdf
  6. Gaudet T, Kligler B. Whole health in the whole system of the veterans administration: how will we know we have reached this future state? J Altern Complement Med. 2019;25:S7-S11. doi:10.1089/acm.2018.29061.gau
  7. Kelly JF, Yeterian JD. The role of mutual-help groups in extending the framework of treatment. Alcohol Res Health. 2011;33:350-355.
  8. Humphreys K. Self-help/mutual aid organizations: the view from Mars. Subst Use Misuse. 1997;32:2105-2109. doi:10.3109/10826089709035622
  9. Chinman M, Kloos B, O’Connell M, Davidson L. Service providers’ views of psychiatric mutual support groups. J Community Psychol. 2002;30:349-366. doi:10.1002/jcop.10010
  10. Shue SA, McGuire AB, Matthias MS. Facilitators and barriers to implementation of a peer support intervention for patients with chronic pain: a qualitative study. Pain Med. 2019;20:1311-1320. doi:10.1093/pm/pny229
  11. Pester BD, Tankha H, Caño A, et al. Facing pain together: a randomized controlled trial of the effects of Facebook support groups on adults with chronic pain. J Pain. 2022;23:2121-2134. doi:10.1016/j.jpain.2022.07.013
  12. Matthias MS, McGuire AB, Kukla M, Daggy J, Myers LJ, Bair MJ. A brief peer support intervention for veterans with chronic musculoskeletal pain: a pilot study of feasibility and effectiveness. Pain Med. 2015;16:81-87. doi:10.1111/pme.12571
  13. Finlay KA, Elander J. Reflecting the transition from pain management services to chronic pain support group attendance: an interpretative phenomenological analysis. Br J Health Psychol. 2016;21:660-676. doi:10.1111/bjhp.12194
  14. Finlay KA, Peacock S, Elander J. Developing successful social support: an interpretative phenomenological analysis of mechanisms and processes in a chronic pain support group. Psychol Health. 2018;33:846-871. doi:10.1080/08870446.2017.1421188
  15. Farr M, Brant H, Patel R, et al. Experiences of patient-led chronic pain peer support groups after pain management programs: a qualitative study. Pain Med. 2021;22:2884-2895. doi:10.1093/pm/pnab189
  16. Mehl-Madrona L. Narrative Medicine: The Use of History and Story in the Healing Process. Bear & Company; 2007.
  17. Fioretti C, Mazzocco K, Riva S, Oliveri S, Masiero M, Pravettoni G. Research studies on patients’ illness experience using the Narrative Medicine approach: a systematic review. BMJ Open. 2016;6:e011220. doi:10.1136/bmjopen-2016-011220
  18. Hall JM, Powell J. Understanding the person through narrative. Nurs Res Pract. 2011;2011:293837. doi:10.1155/2011/293837
  19. Ricks L, Kitchens S, Goodrich T, Hancock E. My story: the use of narrative therapy in individual and group counseling. J Creat Ment Health. 2014;9:99-110. doi:10.1080/15401383.2013.870947
  20. Hydén L-C. Illness and narrative. Sociol Health Illn. 1997;19:48-69. doi:10.1111/j.1467-9566.1997.tb00015.x
  21. Georgiadis E, Johnson MI. Incorporating personal narratives in positive psychology interventions to manage chronic pain. Front Pain Res (Lausanne). 2023;4:1253310. doi:10.3389/fpain.2023.1253310
  22. Gucciardi E, Jean-Pierre N, Karam G, Sidani S. Designing and delivering facilitated storytelling interventions for chronic disease self-management: a scoping review. BMC Health Serv Res. 2016;16:249. doi:10.1186/s12913-016-1474-7
  23. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89:1322-1327. doi:10.2105/ajph.89.9.1322
  24. Abadi M, Richard B, Shamblen S, et al. Achieving whole health: a preliminary study of TCMLH, a group-based program promoting self-care and empowerment among veterans. Health Educ Behav. 2022;49:347-357. doi:10.1177/10901981211011043
References
  1. Kerns RD, Philip EJ, Lee AW, Rosenberger PH. Implementation of the Veterans Health Administration national pain management strategy. Transl Behav Med. 2011;1:635-643. doi:10.1007/s13142-011-0094-3
  2. Pain Management, Opioid Safety, and PDMP (PMOP). US Department of Veterans Affairs. Updated August 21, 2025. Accessed September 25, 2025. https://www.va.gov/PAINMANAGEMENT/Providers/IntegratedTeambasedPainCare.asp
  3. US Department of Veterans Affairs. VHA Directive 2009-053. October 28, 2009. Accessed September 25, 2025. https://www.va.gov/PAINMANAGEMENT/docs/VHA09PainDirective.pdf
  4. Comprehensive Addiction and Recovery Act of 2016, S524, 114th Cong (2015-2016). Pub L No. 114-198. July 22, 2016. Accessed September 25, 2025. https://www.congress.gov/bill/114th-congress/senate-bill/524
  5. Bokhour B, Hyde J, Zeliadt, Mohr D. Whole Health System of Care Evaluation. US Department of Veterans Affairs. February 18, 2020. Accessed September 25, 2025. https://www.va.gov/WHOLEHEALTH/docs/EPCC_WHSevaluation_FinalReport_508.pdf
  6. Gaudet T, Kligler B. Whole health in the whole system of the veterans administration: how will we know we have reached this future state? J Altern Complement Med. 2019;25:S7-S11. doi:10.1089/acm.2018.29061.gau
  7. Kelly JF, Yeterian JD. The role of mutual-help groups in extending the framework of treatment. Alcohol Res Health. 2011;33:350-355.
  8. Humphreys K. Self-help/mutual aid organizations: the view from Mars. Subst Use Misuse. 1997;32:2105-2109. doi:10.3109/10826089709035622
  9. Chinman M, Kloos B, O’Connell M, Davidson L. Service providers’ views of psychiatric mutual support groups. J Community Psychol. 2002;30:349-366. doi:10.1002/jcop.10010
  10. Shue SA, McGuire AB, Matthias MS. Facilitators and barriers to implementation of a peer support intervention for patients with chronic pain: a qualitative study. Pain Med. 2019;20:1311-1320. doi:10.1093/pm/pny229
  11. Pester BD, Tankha H, Caño A, et al. Facing pain together: a randomized controlled trial of the effects of Facebook support groups on adults with chronic pain. J Pain. 2022;23:2121-2134. doi:10.1016/j.jpain.2022.07.013
  12. Matthias MS, McGuire AB, Kukla M, Daggy J, Myers LJ, Bair MJ. A brief peer support intervention for veterans with chronic musculoskeletal pain: a pilot study of feasibility and effectiveness. Pain Med. 2015;16:81-87. doi:10.1111/pme.12571
  13. Finlay KA, Elander J. Reflecting the transition from pain management services to chronic pain support group attendance: an interpretative phenomenological analysis. Br J Health Psychol. 2016;21:660-676. doi:10.1111/bjhp.12194
  14. Finlay KA, Peacock S, Elander J. Developing successful social support: an interpretative phenomenological analysis of mechanisms and processes in a chronic pain support group. Psychol Health. 2018;33:846-871. doi:10.1080/08870446.2017.1421188
  15. Farr M, Brant H, Patel R, et al. Experiences of patient-led chronic pain peer support groups after pain management programs: a qualitative study. Pain Med. 2021;22:2884-2895. doi:10.1093/pm/pnab189
  16. Mehl-Madrona L. Narrative Medicine: The Use of History and Story in the Healing Process. Bear & Company; 2007.
  17. Fioretti C, Mazzocco K, Riva S, Oliveri S, Masiero M, Pravettoni G. Research studies on patients’ illness experience using the Narrative Medicine approach: a systematic review. BMJ Open. 2016;6:e011220. doi:10.1136/bmjopen-2016-011220
  18. Hall JM, Powell J. Understanding the person through narrative. Nurs Res Pract. 2011;2011:293837. doi:10.1155/2011/293837
  19. Ricks L, Kitchens S, Goodrich T, Hancock E. My story: the use of narrative therapy in individual and group counseling. J Creat Ment Health. 2014;9:99-110. doi:10.1080/15401383.2013.870947
  20. Hydén L-C. Illness and narrative. Sociol Health Illn. 1997;19:48-69. doi:10.1111/j.1467-9566.1997.tb00015.x
  21. Georgiadis E, Johnson MI. Incorporating personal narratives in positive psychology interventions to manage chronic pain. Front Pain Res (Lausanne). 2023;4:1253310. doi:10.3389/fpain.2023.1253310
  22. Gucciardi E, Jean-Pierre N, Karam G, Sidani S. Designing and delivering facilitated storytelling interventions for chronic disease self-management: a scoping review. BMC Health Serv Res. 2016;16:249. doi:10.1186/s12913-016-1474-7
  23. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89:1322-1327. doi:10.2105/ajph.89.9.1322
  24. Abadi M, Richard B, Shamblen S, et al. Achieving whole health: a preliminary study of TCMLH, a group-based program promoting self-care and empowerment among veterans. Health Educ Behav. 2022;49:347-357. doi:10.1177/10901981211011043
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Managing Adverse Effects of GLP-1 Agonists: Practical Insights From Dr. Bridget E. Shields

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Managing Adverse Effects of GLP-1 Agonists: Practical Insights From Dr. Bridget E. Shields

Are you seeing any increase or trends in cutaneous adverse effects related to the use of GLP-1 agonists in your practice?

DR. SHIELDS: The use of GLP-1 agonists is increasing substantially across numerous populations. Patients are using these medications not only for weight management and diabetes control but also for blood pressure modulation and cardiovascular risk reduction. The market size is expected to grow at a rate of about 6% until 2027. While severe cutaneous adverse effects still are considered relatively rare with GLP-1 agonist use, mild adverse effects are quite common. Dermatologists should be familiar with these effects and how to manage them. Rare but serious cutaneous reactions include morbilliform drug eruptions, dermal hypersensitivity reactions, panniculitis, and bullous pemphigoid. It is thought that some GLP-1 agonists may cause more skin reactions than others; for example, exenatide extended-release has been associated with cutaneous adverse events more frequently than other GLP-1 agonists in a recent comprehensive literature review.

Do you see a role for dermatologists in monitoring or managing the downstream dermatologic effects of GLP-1 agonists over the next few years?

DR. SHIELDS: Absolutely. When patients develop a drug eruption, bullous pemphigoid, or eosinophilic panniculitis, dermatologists are going to be the ones to diagnose and manage therapy. Awareness of these adverse effects is crucial to timely and thoughtful discussions surrounding medication discontinuation vs a “treat through” approach.

Do you recommend coordinating with endocrinologists or obesity medicine specialists when managing shared patients on GLP-1s (particularly if skin concerns arise)?

DR. SHIELDS: Yes. This is crucial to patient success. Co-management can provide clarity around the indication for therapy and allow for a thoughtful risk-benefit discussion with the patient, primary care physician, endocrinologist, cardiologist, etc. In my practice, I have found that many patients do not want to stop therapy even when they develop cutaneous adverse effects. There are options to transition therapy or treat through in some cases, but having a comprehensive monitoring and therapy plan is critical.

Have you encountered cases in which rapid weight loss from GLP-1s worsened conditions such as loose skin, cellulite, or facial lipoatrophy, leading to new aesthetic concerns? How would you recommend counseling and/or treating affected patients?

DR. SHIELDS: Accelerated facial aging is a noticeable adverse effect in patients who undergo treatment with GLP-1 agonists, especially when used off-label for weight loss. Localized loss of facial fat can result in altered facial proportions and excess skin. There are multiple additional mechanisms that may underlie accelerated facial aging in patients on GLP-1s, and really we are just beginning to scratch the surface of why and how this happens. Understanding these mechanisms will open the door to downstream preventive and therapeutic options. If patients experience new aesthetic concerns, I currently work with them to adjust their medication to slow weight loss, recommend improved nutrition and hydration, encourage exercise and weight training to maintain muscle mass, and engage my cosmetic dermatology colleagues to discuss procedures such as dermal fillers.

All patients starting GLP-1 agonists should be thoroughly counseled on risks and adverse effects of their medication. These are well reported and should be considered carefully. Starting with lower medication dosing in conjunction with slow escalation and careful monitoring can be helpful in combatting these adverse effects.

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Dr. Shields is a consultant for Arcutis Biotherapeutics Inc.

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Cutis. 2025 November;116(5):188. doi:10.12788/cutis.1286

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Dr. Shields is a consultant for Arcutis Biotherapeutics Inc.

Cutis. 2025 November;116(5):188. doi:10.12788/cutis.1286

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Are you seeing any increase or trends in cutaneous adverse effects related to the use of GLP-1 agonists in your practice?

DR. SHIELDS: The use of GLP-1 agonists is increasing substantially across numerous populations. Patients are using these medications not only for weight management and diabetes control but also for blood pressure modulation and cardiovascular risk reduction. The market size is expected to grow at a rate of about 6% until 2027. While severe cutaneous adverse effects still are considered relatively rare with GLP-1 agonist use, mild adverse effects are quite common. Dermatologists should be familiar with these effects and how to manage them. Rare but serious cutaneous reactions include morbilliform drug eruptions, dermal hypersensitivity reactions, panniculitis, and bullous pemphigoid. It is thought that some GLP-1 agonists may cause more skin reactions than others; for example, exenatide extended-release has been associated with cutaneous adverse events more frequently than other GLP-1 agonists in a recent comprehensive literature review.

Do you see a role for dermatologists in monitoring or managing the downstream dermatologic effects of GLP-1 agonists over the next few years?

DR. SHIELDS: Absolutely. When patients develop a drug eruption, bullous pemphigoid, or eosinophilic panniculitis, dermatologists are going to be the ones to diagnose and manage therapy. Awareness of these adverse effects is crucial to timely and thoughtful discussions surrounding medication discontinuation vs a “treat through” approach.

Do you recommend coordinating with endocrinologists or obesity medicine specialists when managing shared patients on GLP-1s (particularly if skin concerns arise)?

DR. SHIELDS: Yes. This is crucial to patient success. Co-management can provide clarity around the indication for therapy and allow for a thoughtful risk-benefit discussion with the patient, primary care physician, endocrinologist, cardiologist, etc. In my practice, I have found that many patients do not want to stop therapy even when they develop cutaneous adverse effects. There are options to transition therapy or treat through in some cases, but having a comprehensive monitoring and therapy plan is critical.

Have you encountered cases in which rapid weight loss from GLP-1s worsened conditions such as loose skin, cellulite, or facial lipoatrophy, leading to new aesthetic concerns? How would you recommend counseling and/or treating affected patients?

DR. SHIELDS: Accelerated facial aging is a noticeable adverse effect in patients who undergo treatment with GLP-1 agonists, especially when used off-label for weight loss. Localized loss of facial fat can result in altered facial proportions and excess skin. There are multiple additional mechanisms that may underlie accelerated facial aging in patients on GLP-1s, and really we are just beginning to scratch the surface of why and how this happens. Understanding these mechanisms will open the door to downstream preventive and therapeutic options. If patients experience new aesthetic concerns, I currently work with them to adjust their medication to slow weight loss, recommend improved nutrition and hydration, encourage exercise and weight training to maintain muscle mass, and engage my cosmetic dermatology colleagues to discuss procedures such as dermal fillers.

All patients starting GLP-1 agonists should be thoroughly counseled on risks and adverse effects of their medication. These are well reported and should be considered carefully. Starting with lower medication dosing in conjunction with slow escalation and careful monitoring can be helpful in combatting these adverse effects.

Are you seeing any increase or trends in cutaneous adverse effects related to the use of GLP-1 agonists in your practice?

DR. SHIELDS: The use of GLP-1 agonists is increasing substantially across numerous populations. Patients are using these medications not only for weight management and diabetes control but also for blood pressure modulation and cardiovascular risk reduction. The market size is expected to grow at a rate of about 6% until 2027. While severe cutaneous adverse effects still are considered relatively rare with GLP-1 agonist use, mild adverse effects are quite common. Dermatologists should be familiar with these effects and how to manage them. Rare but serious cutaneous reactions include morbilliform drug eruptions, dermal hypersensitivity reactions, panniculitis, and bullous pemphigoid. It is thought that some GLP-1 agonists may cause more skin reactions than others; for example, exenatide extended-release has been associated with cutaneous adverse events more frequently than other GLP-1 agonists in a recent comprehensive literature review.

Do you see a role for dermatologists in monitoring or managing the downstream dermatologic effects of GLP-1 agonists over the next few years?

DR. SHIELDS: Absolutely. When patients develop a drug eruption, bullous pemphigoid, or eosinophilic panniculitis, dermatologists are going to be the ones to diagnose and manage therapy. Awareness of these adverse effects is crucial to timely and thoughtful discussions surrounding medication discontinuation vs a “treat through” approach.

Do you recommend coordinating with endocrinologists or obesity medicine specialists when managing shared patients on GLP-1s (particularly if skin concerns arise)?

DR. SHIELDS: Yes. This is crucial to patient success. Co-management can provide clarity around the indication for therapy and allow for a thoughtful risk-benefit discussion with the patient, primary care physician, endocrinologist, cardiologist, etc. In my practice, I have found that many patients do not want to stop therapy even when they develop cutaneous adverse effects. There are options to transition therapy or treat through in some cases, but having a comprehensive monitoring and therapy plan is critical.

Have you encountered cases in which rapid weight loss from GLP-1s worsened conditions such as loose skin, cellulite, or facial lipoatrophy, leading to new aesthetic concerns? How would you recommend counseling and/or treating affected patients?

DR. SHIELDS: Accelerated facial aging is a noticeable adverse effect in patients who undergo treatment with GLP-1 agonists, especially when used off-label for weight loss. Localized loss of facial fat can result in altered facial proportions and excess skin. There are multiple additional mechanisms that may underlie accelerated facial aging in patients on GLP-1s, and really we are just beginning to scratch the surface of why and how this happens. Understanding these mechanisms will open the door to downstream preventive and therapeutic options. If patients experience new aesthetic concerns, I currently work with them to adjust their medication to slow weight loss, recommend improved nutrition and hydration, encourage exercise and weight training to maintain muscle mass, and engage my cosmetic dermatology colleagues to discuss procedures such as dermal fillers.

All patients starting GLP-1 agonists should be thoroughly counseled on risks and adverse effects of their medication. These are well reported and should be considered carefully. Starting with lower medication dosing in conjunction with slow escalation and careful monitoring can be helpful in combatting these adverse effects.

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Managing Adverse Effects of GLP-1 Agonists: Practical Insights From Dr. Bridget E. Shields

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The Role of Dermatologists in Developing AI Tools for Diagnosis and Classification of Skin Disease

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The Role of Dermatologists in Developing AI Tools for Diagnosis and Classification of Skin Disease

Use of artificial intelligence (AI) in dermatology has increased over the past decade, likely driven by advances in deep learning algorithms, computing hardware, and machine learning.1 Studies comparing the performance of AI algorithms to dermatologists in classifying skin disorders have shown conflicting results.2,3 In this study, we aimed to analyze AI tools used for diagnosing and classifying skin disease and evaluate the role of dermatologists in the creation of AI technology. We also investigated the number of clinical images used in datasets to train AI programs and compared tools that were created with dermatologist input to those created without dermatologist/clinician involvement.

Methods

A search of PubMed articles indexed for MEDLINE using the terms machine learning, artificial intelligence, and dermatology was conducted on September 18, 2022. Articles were included if they described full-length trials; used machine learning for diagnosis of or screening for dermatologic conditions; and used dermoscopic or gross image datasets of the skin, hair, or nails. Articles were categorized into 4 groups based on the conditions covered: chronic wounds, inflammatory skin diseases, mixed conditions, and pigmented skin lesions. Algorithms were sorted into 4 categories: convolutional/convoluted neural network, deep learning model/deep neural network, AI/artificial neural network, and other. Details regarding Fitzpatrick skin type and skin of color (SoC) inclusion in the articles or AI algorithm datasets were recorded. Univariate and multivariate analyses were performed using Microsoft Excel and SAS Studio 3.8. Sensitivity and specificity were calculated for all included AI technology. Sensitivity, specificity, and the number of clinical images were compared among the included articles using analysis of variance and t tests (α=0.05; P<.05 indicated statistical significance).

Results

Our search yielded 1016 articles, 58 of which met the inclusion criteria. Overall, 25.9% (15/58) of the articles utilized AI to diagnose or classify mixed skin diseases; 22.4% (13/58) for pigmented skin lesions; 19.0% (11/58) for wounds; 17.2% (10/58) for inflammatory skin diseases; and 5.2% (3/58) each for acne, psoriasis, and onychomycosis. Overall, 24.0% (14/58) of articles provided information about Fitzpatrick skin type, and 58.7% (34/58) included clinical images depicting SoC. Furthermore, we found that only 20.7% (12/58) of articles on deep learning models included descriptions of patient ethnicity or race in at least 1 dataset, and only 10.3% (6/58) of studies included any information about skin tone in the dataset. Studies with a dermatologist as the last author (most likely to be supervising the project) were more likely to include clinical images depicting SoC than those without (82.6% [19/23] and 16.7% [3/18], respectively [P=.0411]).

The mean (SD) number of clinical images in the study articles was 28,422 (84,050). Thirty-seven (63.8%) of the study articles included gross images, 17 (29.3%) used dermoscopic images, and 4 (6.9%) used both. Twenty-seven (46.6%) articles used convolutional/convoluted neural networks, 15 (25.9%) used deep learning model/deep neural networks, 8 (13.8%) used other algorithms, 6 (10.3%) used AI/artificial neural network, and 2 (3.4%) used fuzzy algorithms. Most studies were conducted in China (29.3% [17/58]), Germany (12.1% [7/58]), India (10.3% [6/58]), multiple nations (10.3% [6/58]), and the United States (10.3% [6/58]). Overall, 82.8% (48/58) of articles included at least 1 dermatologist coauthor. Sensitivity of the AI models was 0.85, and specificity was 0.85. The average percentage of images in the dataset correctly identified by a physician was 76.87% vs 81.62% of images correctly identified by AI. Average agreement between AI and physician assessment was 77.98%, defined as AI and physician both having the same diagnosis. 

Articles authored by dermatologists contained more clinical images than those without dermatologists in key authorship roles (P<.0001)(eTable). Psoriasis-related algorithms had the fewest (mean [SD]: 3173 [4203]), and pigmented skin lesions had the most clinical images (mean [SD]: 53,19l [155,579]).

RagiCT116005184-eTable

Comment

Our results indicated that AI studies with dermatologist authors had significantly more images in their datasets (ie, the set of clinical images of skin lesions used to train AI algorithms in diagnosing or classifying lesions) than those with nondermatologist authors (P<.0001)(eTable). Similarly, in a study of AI technology for skin cancer diagnosis, AI studies with dermatologist authors (ie, included in the development of the AI algorithm) had more images than studies without dermatologist authors.1 Deep learning textbooks have suggested that 5000 clinical images or training input per output category are needed to produce acceptable algorithm performance, and more than 10 million are needed to produce results superior to human performance.4-10 Despite advances in AI for dermatologic image analysis, the creation of these models often has been directed by nondermatologists1; therefore, dermatologist involvement in AI development is necessary to facilitate collection of larger image datasets and optimal performance for image diagnosis/classification tasks.

We found that 20.7% of articles on deep learning models included descriptions of patient ethnicity or race, and only 10.3% of studies included any information about skin tone in the dataset. Furthermore, American investigators primarily trained models using clinical images of patients with lighter skin tones, whereas Chinese investigators exclusively included images depicting darker skin tones. Similarly, in a study of 52 cutaneous imaging deep learning articles, only 17.3% (9/52) reported race and/or Fitzpatrick skin type, and only 7.7% (4/52) of articles included both.2,6,8 Therefore, dermatologists are needed to contribute images representing diverse populations and collaborate in AI research studies, as their involvement is necessary to ensure the accuracy of AI models in classifying lesions or diagnosing skin lesions across all skin types.

Our search was limited to PubMed, and real-world applications could not be evaluated.

Conclusion

In summary, we found that AI studies with dermatologist authors used larger numbers of clinical images in their datasets and more images representing diverse skin types than studies without. Therefore, we advocate for greater involvement of dermatologists in AI research, which might result in better patient outcomes by improving diagnostic accuracy.

References
  1. Zakhem GA, Fakhoury JW, Motosko CC, et al. Characterizing the role of dermatologists in developing artificial intelligence for assessment of skin cancer. J Am Acad Dermatol. 2021;85:1544-1556.
  2. Daneshjou R, Vodrahalli K, Novoa RA, et al. Disparities in dermatology AI performance on a diverse, curated clinical image set. Sci Adv. 2022;8:eabq6147.
  3. Wu E, Wu K, Daneshjou R, et al. How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals. Nat Med. 2021;27:582-584.
  4. Murphree DH, Puri P, Shamim H, et al. Deep learning for dermatologists: part I. Fundamental concepts. J Am Acad Dermatol. 2022;87:1343-1351.
  5. Goodfellow I, Bengio Y, Courville A. Deep Learning. The MIT Press; 2016.
  6. Kim YH, Kobic A, Vidal NY. Distribution of race and Fitzpatrick skin types in data sets for deep learning in dermatology: a systematic review. J Am Acad Dermatol. 2022;87:460-461.
  7. Liu Y, Jain A, Eng C, et al. A deep learning system for differential diagnosis of skin diseases. Nat Med. 2020;26:900-908.
  8. Zhu CY, Wang YK, Chen HP, et al. A deep learning based framework for diagnosing multiple skin diseases in a clinical environment. Front Med (Lausanne). 2021;8:626369.
  9. Capurro N, Pastore VP, Touijer L, et al. A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases. Br J Dermatol. 2024;191:261-266.
  10. Han SS, Park I, Eun Chang S, et al. Augmented intelligence dermatology: deep neural networks empower medical professionals in diagnosing skin cancer and predicting treatment options for 134 skin disorders. J Invest Dermatol. 2020;140:1753-1761.
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Dr. Ragi is from the Warren Alpert Medical School of Brown University, Providence, Rhode Island. Dr. Desai is from Rutgers New Jersey Medical School, Newark. Drs. Hill and Lipner are from Weill Cornell Medical College, New York, New York. Dr. Lipner is from the Department of Dermatology.

The authors have no relevant financial disclosures to report.

Correspondence: Shari R. Lipner, MD, PhD, Associate Professor of Clinical Dermatology, Weill Cornell Medicine, 1305 York Ave, 9th Floor, New York, NY 10021 (shl9032@med.cornell.edu).

Cutis. 2025 November;116(5):184-185, E4. doi:10.12788/cutis.1295

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Dr. Ragi is from the Warren Alpert Medical School of Brown University, Providence, Rhode Island. Dr. Desai is from Rutgers New Jersey Medical School, Newark. Drs. Hill and Lipner are from Weill Cornell Medical College, New York, New York. Dr. Lipner is from the Department of Dermatology.

The authors have no relevant financial disclosures to report.

Correspondence: Shari R. Lipner, MD, PhD, Associate Professor of Clinical Dermatology, Weill Cornell Medicine, 1305 York Ave, 9th Floor, New York, NY 10021 (shl9032@med.cornell.edu).

Cutis. 2025 November;116(5):184-185, E4. doi:10.12788/cutis.1295

Author and Disclosure Information

Dr. Ragi is from the Warren Alpert Medical School of Brown University, Providence, Rhode Island. Dr. Desai is from Rutgers New Jersey Medical School, Newark. Drs. Hill and Lipner are from Weill Cornell Medical College, New York, New York. Dr. Lipner is from the Department of Dermatology.

The authors have no relevant financial disclosures to report.

Correspondence: Shari R. Lipner, MD, PhD, Associate Professor of Clinical Dermatology, Weill Cornell Medicine, 1305 York Ave, 9th Floor, New York, NY 10021 (shl9032@med.cornell.edu).

Cutis. 2025 November;116(5):184-185, E4. doi:10.12788/cutis.1295

Article PDF
Article PDF

Use of artificial intelligence (AI) in dermatology has increased over the past decade, likely driven by advances in deep learning algorithms, computing hardware, and machine learning.1 Studies comparing the performance of AI algorithms to dermatologists in classifying skin disorders have shown conflicting results.2,3 In this study, we aimed to analyze AI tools used for diagnosing and classifying skin disease and evaluate the role of dermatologists in the creation of AI technology. We also investigated the number of clinical images used in datasets to train AI programs and compared tools that were created with dermatologist input to those created without dermatologist/clinician involvement.

Methods

A search of PubMed articles indexed for MEDLINE using the terms machine learning, artificial intelligence, and dermatology was conducted on September 18, 2022. Articles were included if they described full-length trials; used machine learning for diagnosis of or screening for dermatologic conditions; and used dermoscopic or gross image datasets of the skin, hair, or nails. Articles were categorized into 4 groups based on the conditions covered: chronic wounds, inflammatory skin diseases, mixed conditions, and pigmented skin lesions. Algorithms were sorted into 4 categories: convolutional/convoluted neural network, deep learning model/deep neural network, AI/artificial neural network, and other. Details regarding Fitzpatrick skin type and skin of color (SoC) inclusion in the articles or AI algorithm datasets were recorded. Univariate and multivariate analyses were performed using Microsoft Excel and SAS Studio 3.8. Sensitivity and specificity were calculated for all included AI technology. Sensitivity, specificity, and the number of clinical images were compared among the included articles using analysis of variance and t tests (α=0.05; P<.05 indicated statistical significance).

Results

Our search yielded 1016 articles, 58 of which met the inclusion criteria. Overall, 25.9% (15/58) of the articles utilized AI to diagnose or classify mixed skin diseases; 22.4% (13/58) for pigmented skin lesions; 19.0% (11/58) for wounds; 17.2% (10/58) for inflammatory skin diseases; and 5.2% (3/58) each for acne, psoriasis, and onychomycosis. Overall, 24.0% (14/58) of articles provided information about Fitzpatrick skin type, and 58.7% (34/58) included clinical images depicting SoC. Furthermore, we found that only 20.7% (12/58) of articles on deep learning models included descriptions of patient ethnicity or race in at least 1 dataset, and only 10.3% (6/58) of studies included any information about skin tone in the dataset. Studies with a dermatologist as the last author (most likely to be supervising the project) were more likely to include clinical images depicting SoC than those without (82.6% [19/23] and 16.7% [3/18], respectively [P=.0411]).

The mean (SD) number of clinical images in the study articles was 28,422 (84,050). Thirty-seven (63.8%) of the study articles included gross images, 17 (29.3%) used dermoscopic images, and 4 (6.9%) used both. Twenty-seven (46.6%) articles used convolutional/convoluted neural networks, 15 (25.9%) used deep learning model/deep neural networks, 8 (13.8%) used other algorithms, 6 (10.3%) used AI/artificial neural network, and 2 (3.4%) used fuzzy algorithms. Most studies were conducted in China (29.3% [17/58]), Germany (12.1% [7/58]), India (10.3% [6/58]), multiple nations (10.3% [6/58]), and the United States (10.3% [6/58]). Overall, 82.8% (48/58) of articles included at least 1 dermatologist coauthor. Sensitivity of the AI models was 0.85, and specificity was 0.85. The average percentage of images in the dataset correctly identified by a physician was 76.87% vs 81.62% of images correctly identified by AI. Average agreement between AI and physician assessment was 77.98%, defined as AI and physician both having the same diagnosis. 

Articles authored by dermatologists contained more clinical images than those without dermatologists in key authorship roles (P<.0001)(eTable). Psoriasis-related algorithms had the fewest (mean [SD]: 3173 [4203]), and pigmented skin lesions had the most clinical images (mean [SD]: 53,19l [155,579]).

RagiCT116005184-eTable

Comment

Our results indicated that AI studies with dermatologist authors had significantly more images in their datasets (ie, the set of clinical images of skin lesions used to train AI algorithms in diagnosing or classifying lesions) than those with nondermatologist authors (P<.0001)(eTable). Similarly, in a study of AI technology for skin cancer diagnosis, AI studies with dermatologist authors (ie, included in the development of the AI algorithm) had more images than studies without dermatologist authors.1 Deep learning textbooks have suggested that 5000 clinical images or training input per output category are needed to produce acceptable algorithm performance, and more than 10 million are needed to produce results superior to human performance.4-10 Despite advances in AI for dermatologic image analysis, the creation of these models often has been directed by nondermatologists1; therefore, dermatologist involvement in AI development is necessary to facilitate collection of larger image datasets and optimal performance for image diagnosis/classification tasks.

We found that 20.7% of articles on deep learning models included descriptions of patient ethnicity or race, and only 10.3% of studies included any information about skin tone in the dataset. Furthermore, American investigators primarily trained models using clinical images of patients with lighter skin tones, whereas Chinese investigators exclusively included images depicting darker skin tones. Similarly, in a study of 52 cutaneous imaging deep learning articles, only 17.3% (9/52) reported race and/or Fitzpatrick skin type, and only 7.7% (4/52) of articles included both.2,6,8 Therefore, dermatologists are needed to contribute images representing diverse populations and collaborate in AI research studies, as their involvement is necessary to ensure the accuracy of AI models in classifying lesions or diagnosing skin lesions across all skin types.

Our search was limited to PubMed, and real-world applications could not be evaluated.

Conclusion

In summary, we found that AI studies with dermatologist authors used larger numbers of clinical images in their datasets and more images representing diverse skin types than studies without. Therefore, we advocate for greater involvement of dermatologists in AI research, which might result in better patient outcomes by improving diagnostic accuracy.

Use of artificial intelligence (AI) in dermatology has increased over the past decade, likely driven by advances in deep learning algorithms, computing hardware, and machine learning.1 Studies comparing the performance of AI algorithms to dermatologists in classifying skin disorders have shown conflicting results.2,3 In this study, we aimed to analyze AI tools used for diagnosing and classifying skin disease and evaluate the role of dermatologists in the creation of AI technology. We also investigated the number of clinical images used in datasets to train AI programs and compared tools that were created with dermatologist input to those created without dermatologist/clinician involvement.

Methods

A search of PubMed articles indexed for MEDLINE using the terms machine learning, artificial intelligence, and dermatology was conducted on September 18, 2022. Articles were included if they described full-length trials; used machine learning for diagnosis of or screening for dermatologic conditions; and used dermoscopic or gross image datasets of the skin, hair, or nails. Articles were categorized into 4 groups based on the conditions covered: chronic wounds, inflammatory skin diseases, mixed conditions, and pigmented skin lesions. Algorithms were sorted into 4 categories: convolutional/convoluted neural network, deep learning model/deep neural network, AI/artificial neural network, and other. Details regarding Fitzpatrick skin type and skin of color (SoC) inclusion in the articles or AI algorithm datasets were recorded. Univariate and multivariate analyses were performed using Microsoft Excel and SAS Studio 3.8. Sensitivity and specificity were calculated for all included AI technology. Sensitivity, specificity, and the number of clinical images were compared among the included articles using analysis of variance and t tests (α=0.05; P<.05 indicated statistical significance).

Results

Our search yielded 1016 articles, 58 of which met the inclusion criteria. Overall, 25.9% (15/58) of the articles utilized AI to diagnose or classify mixed skin diseases; 22.4% (13/58) for pigmented skin lesions; 19.0% (11/58) for wounds; 17.2% (10/58) for inflammatory skin diseases; and 5.2% (3/58) each for acne, psoriasis, and onychomycosis. Overall, 24.0% (14/58) of articles provided information about Fitzpatrick skin type, and 58.7% (34/58) included clinical images depicting SoC. Furthermore, we found that only 20.7% (12/58) of articles on deep learning models included descriptions of patient ethnicity or race in at least 1 dataset, and only 10.3% (6/58) of studies included any information about skin tone in the dataset. Studies with a dermatologist as the last author (most likely to be supervising the project) were more likely to include clinical images depicting SoC than those without (82.6% [19/23] and 16.7% [3/18], respectively [P=.0411]).

The mean (SD) number of clinical images in the study articles was 28,422 (84,050). Thirty-seven (63.8%) of the study articles included gross images, 17 (29.3%) used dermoscopic images, and 4 (6.9%) used both. Twenty-seven (46.6%) articles used convolutional/convoluted neural networks, 15 (25.9%) used deep learning model/deep neural networks, 8 (13.8%) used other algorithms, 6 (10.3%) used AI/artificial neural network, and 2 (3.4%) used fuzzy algorithms. Most studies were conducted in China (29.3% [17/58]), Germany (12.1% [7/58]), India (10.3% [6/58]), multiple nations (10.3% [6/58]), and the United States (10.3% [6/58]). Overall, 82.8% (48/58) of articles included at least 1 dermatologist coauthor. Sensitivity of the AI models was 0.85, and specificity was 0.85. The average percentage of images in the dataset correctly identified by a physician was 76.87% vs 81.62% of images correctly identified by AI. Average agreement between AI and physician assessment was 77.98%, defined as AI and physician both having the same diagnosis. 

Articles authored by dermatologists contained more clinical images than those without dermatologists in key authorship roles (P<.0001)(eTable). Psoriasis-related algorithms had the fewest (mean [SD]: 3173 [4203]), and pigmented skin lesions had the most clinical images (mean [SD]: 53,19l [155,579]).

RagiCT116005184-eTable

Comment

Our results indicated that AI studies with dermatologist authors had significantly more images in their datasets (ie, the set of clinical images of skin lesions used to train AI algorithms in diagnosing or classifying lesions) than those with nondermatologist authors (P<.0001)(eTable). Similarly, in a study of AI technology for skin cancer diagnosis, AI studies with dermatologist authors (ie, included in the development of the AI algorithm) had more images than studies without dermatologist authors.1 Deep learning textbooks have suggested that 5000 clinical images or training input per output category are needed to produce acceptable algorithm performance, and more than 10 million are needed to produce results superior to human performance.4-10 Despite advances in AI for dermatologic image analysis, the creation of these models often has been directed by nondermatologists1; therefore, dermatologist involvement in AI development is necessary to facilitate collection of larger image datasets and optimal performance for image diagnosis/classification tasks.

We found that 20.7% of articles on deep learning models included descriptions of patient ethnicity or race, and only 10.3% of studies included any information about skin tone in the dataset. Furthermore, American investigators primarily trained models using clinical images of patients with lighter skin tones, whereas Chinese investigators exclusively included images depicting darker skin tones. Similarly, in a study of 52 cutaneous imaging deep learning articles, only 17.3% (9/52) reported race and/or Fitzpatrick skin type, and only 7.7% (4/52) of articles included both.2,6,8 Therefore, dermatologists are needed to contribute images representing diverse populations and collaborate in AI research studies, as their involvement is necessary to ensure the accuracy of AI models in classifying lesions or diagnosing skin lesions across all skin types.

Our search was limited to PubMed, and real-world applications could not be evaluated.

Conclusion

In summary, we found that AI studies with dermatologist authors used larger numbers of clinical images in their datasets and more images representing diverse skin types than studies without. Therefore, we advocate for greater involvement of dermatologists in AI research, which might result in better patient outcomes by improving diagnostic accuracy.

References
  1. Zakhem GA, Fakhoury JW, Motosko CC, et al. Characterizing the role of dermatologists in developing artificial intelligence for assessment of skin cancer. J Am Acad Dermatol. 2021;85:1544-1556.
  2. Daneshjou R, Vodrahalli K, Novoa RA, et al. Disparities in dermatology AI performance on a diverse, curated clinical image set. Sci Adv. 2022;8:eabq6147.
  3. Wu E, Wu K, Daneshjou R, et al. How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals. Nat Med. 2021;27:582-584.
  4. Murphree DH, Puri P, Shamim H, et al. Deep learning for dermatologists: part I. Fundamental concepts. J Am Acad Dermatol. 2022;87:1343-1351.
  5. Goodfellow I, Bengio Y, Courville A. Deep Learning. The MIT Press; 2016.
  6. Kim YH, Kobic A, Vidal NY. Distribution of race and Fitzpatrick skin types in data sets for deep learning in dermatology: a systematic review. J Am Acad Dermatol. 2022;87:460-461.
  7. Liu Y, Jain A, Eng C, et al. A deep learning system for differential diagnosis of skin diseases. Nat Med. 2020;26:900-908.
  8. Zhu CY, Wang YK, Chen HP, et al. A deep learning based framework for diagnosing multiple skin diseases in a clinical environment. Front Med (Lausanne). 2021;8:626369.
  9. Capurro N, Pastore VP, Touijer L, et al. A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases. Br J Dermatol. 2024;191:261-266.
  10. Han SS, Park I, Eun Chang S, et al. Augmented intelligence dermatology: deep neural networks empower medical professionals in diagnosing skin cancer and predicting treatment options for 134 skin disorders. J Invest Dermatol. 2020;140:1753-1761.
References
  1. Zakhem GA, Fakhoury JW, Motosko CC, et al. Characterizing the role of dermatologists in developing artificial intelligence for assessment of skin cancer. J Am Acad Dermatol. 2021;85:1544-1556.
  2. Daneshjou R, Vodrahalli K, Novoa RA, et al. Disparities in dermatology AI performance on a diverse, curated clinical image set. Sci Adv. 2022;8:eabq6147.
  3. Wu E, Wu K, Daneshjou R, et al. How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals. Nat Med. 2021;27:582-584.
  4. Murphree DH, Puri P, Shamim H, et al. Deep learning for dermatologists: part I. Fundamental concepts. J Am Acad Dermatol. 2022;87:1343-1351.
  5. Goodfellow I, Bengio Y, Courville A. Deep Learning. The MIT Press; 2016.
  6. Kim YH, Kobic A, Vidal NY. Distribution of race and Fitzpatrick skin types in data sets for deep learning in dermatology: a systematic review. J Am Acad Dermatol. 2022;87:460-461.
  7. Liu Y, Jain A, Eng C, et al. A deep learning system for differential diagnosis of skin diseases. Nat Med. 2020;26:900-908.
  8. Zhu CY, Wang YK, Chen HP, et al. A deep learning based framework for diagnosing multiple skin diseases in a clinical environment. Front Med (Lausanne). 2021;8:626369.
  9. Capurro N, Pastore VP, Touijer L, et al. A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases. Br J Dermatol. 2024;191:261-266.
  10. Han SS, Park I, Eun Chang S, et al. Augmented intelligence dermatology: deep neural networks empower medical professionals in diagnosing skin cancer and predicting treatment options for 134 skin disorders. J Invest Dermatol. 2020;140:1753-1761.
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The Role of Dermatologists in Developing AI Tools for Diagnosis and Classification of Skin Disease

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  • Artificial intelligence (AI) technology is emerging as a valuable tool in diagnosing and classifying dermatologic conditions.
  • Despite advances in AI for dermatologic image analysis, the creation of these models often has been directed by nondermatologists.
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The Current State of Postgraduate Dermatology Training Programs for Advanced Practice Providers

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The Current State of Postgraduate Dermatology Training Programs for Advanced Practice Providers

Nurse practitioners (NPs) and physician assistants (PAs) often help provide dermatologic care but lack the same mandatory specialized postgraduate training required of board-certified dermatologists (BCDs), which includes at least 3 years of dermatology-focused education in an accredited residency program in addition to an intern year of general medicine, pediatrics, or surgery. Dermatology residency is followed by a certification examination administered by the American Board of Dermatology (ABD) or the American Osteopathic Board of Dermatology, leading to board certification. Some physicians choose to do a fellowship, which typically involves an additional 1 to 2 years of postresidency subspeciality training.

Optional postgraduate dermatology training programs for advanced practice providers (APPs) have been offered by some academic institutions and private practice groups since at least 2003, including Lahey Hospital and Medical Center (Burlington, Massachusetts) as well as the University of Rochester Medical Center (Rochester, New York). Despite a lack of accreditation or standardization, the programs can be beneficial for NPs and PAs to expand their dermatologic knowledge and skills and help bridge the care gap within the specialty. Didactics often are conducted in parallel with the educational activities of the parent institution’s traditional dermatology residency program (eg, lectures, grand rounds). While these programs often are managed by practicing dermatology NPs and PAs, dermatologists also may be involved in their education with didactic instruction, curriculum development, and clinical preceptorship. 

In this cross-sectional study, we identified and evaluated 10 postgraduate dermatology training programs for APPs across the United States. With the growing number of NPs and PAs in the dermatology workforce—both in academic and private practice—it is important for BCDs to be aware of the differences in the dermatology training received in order to ensure safe and effective care is provided through supervisory or collaborative roles (depending on state independent practice laws for APPs and to be aware of the implications these programs may have on the field of dermatology.

Methods

To identify postgraduate dermatology training programs for APPs in the United States, we conducted a cross-sectional study using data obtained via a Google search of various combinations of the following terms: nurse practitioner, NP, physician assistant, PA, advance practice provider, APP, dermatology, postgraduate training, residency, and fellowship. We excluded postgraduate dermatology training programs for APPs that required tuition and did not provide a stipend, as well as programs that lacked the formal structure and credibility needed to qualify as legitimate postgraduate training. Many of the excluded programs operate in a manner that raises ethical concerns, offering pay-to-play opportunities under the guise of education. Information collected on each program included the program name, location, parent institution, program length, class size, curriculum, and any associated salary and benefits.

Results

Ten academic and private practice organizations across the United States that offer postgraduate dermatologic training programs for APPs were identified (eTable). Four (40%) programs were advertised as fellowships. Six (60%) of the programs were offered at academic medical centers, and 4 (40%) were offered by private practices. Most programs were located east of the Mississippi River, and many institutions offered instruction at 1 or more locations within the same state (eFigure). The Advanced Dermatology and Cosmetic Surgery private practice group offered training opportunities in multiple states.

MehrmalCT116005180-eTable_part1MehrmalCT116005180-eTable_part2
Mehrmal-efig
eFIGURE. Geographic distribution of postgraduate dermatology training programs for midlevel providers. Red dots indicate Advanced Dermatology and Cosmetic Surgery locations.

Six programs required APPs to become board-certified NPs or PAs prior to enrolling. Most programs enrolled both NPs and PAs, while some only enrolled NPs (eTable). Only 1 (10%) program required NPs to be board certified as a family NP, while another (10%) recommended that applicants have experience in urgent care, emergency medicine, or trauma medicine. Lahey Hospital & Medical Center required experience as an NP in a general setting for 1 to 2 years prior to applying. No program required prior experience in the field of dermatology.

Program length varied from 6 to 24 months, and cohort size typically was limited to 1 to 2 providers (eTable). Although the exact numbers could not be ascertained, most curricula focused on medical dermatology, including clinical and didactic components, but many offered electives such as cosmetic and procedural dermatology. Two institutions (20%) required independent research. Work typically was limited to 40 hours per week, and most paid a full-time employee salary and provided benefits such as health insurance, retirement, and paid leave (eTable). Kansas Medical Clinic (Topeka, Kansas) required at least 3 years of employment in an underserved community following program completion. The Oasis Dermatology private practice group in Texas required a 1-year teaching commitment after program completion. The Advanced Dermatology and Cosmetic Surgery group offered a full-time position upon program completion.

Comment

There is a large difference in the total number of training and credentialing hours when comparing graduate school training and postgraduate credentialing of medical and osteopathic physicians compared with APPs. A new graduate physician has at least twice as many clinical hours as a PA and 10 times as many clinical hours as an NP prior to starting residency. Physicians also typically complete at least 6 times the number of hours of certification examinations compared to NPs and PAs.1

Nurse practitioner students typically complete the 500 hours of prelicensure clinical training required for NP school in 2 to 4 years.2,3 The amount of time required for completion is dependent on the degree and experience of the student upon program entry (eg, bachelor of science in nursing vs master of science in nursing as a terminal degree). Physician assistant students are required to complete 2000 prelicensure clinical hours, and most PA programs are 3 years in duration.4 Many NP and PA programs require some degree of clinical experience prior to beginning graduate education.5

When comparing prelicensure examinations, questions assessing dermatologic knowledge comprise approximately 6% to 10% of the total questions on the United States Medical Licensing Examination Steps 1 and 2.6 The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 and Level 2-Cognitive Evaluation both have at least 5% of questions dedicated to dermatology.7 Approximately 5% of the questions on the Physician Assistant National Certifying Examination are dedicated to dermatology.8 The dermatology content on either of the NP certification examinations is unclear.2,3 In the states of California, Indiana, and New York, national certification through the American Association of Nurse Practitioners or American Nurses Credentialing Center is not required for NPs to practice in their respective states.9

Regarding dermatologic board certification, a new graduate NP may obtain certification from the Dermatology Nurse Practitioner Certification Board with 3000 hours of general dermatology practice that may occur during normal working hours.10 These hours do not have to occur in one of the previously identified postgraduate APP training programs. The National Board of Dermatology Physician Assistants was founded in 2018 and has since dissolved. The National Board of Dermatology Physician Assistants was not accredited and required at least 3 years of training in dermatology with the same dermatologist in addition to completing a 125-question multiple-choice examination.11 Of note, this examination was opposed by both the ABD and the Society for Dermatology Physician Associates.12 A PA also may become a Diplomate Fellow with the Society of Dermatology Physician Associates after completion of 64.5 hours of online continuing education modules.4 Some PAs may choose to obtain a Certificate of Added Qualifications, which is a voluntary credential that helps document specialty experience and expertise in dermatology or other specialties.

In contrast, a dermatology resident physician requires nearly 11,000 to 13,000 hours of clinical training hours, which last 3 to 4 years following medical school.13 This training involves direct patient care under supervision in various settings, including hospitals, outpatient clinics, and surgical procedures. In addition to this clinical experience, dermatology residents must pass a 3-step certification examination process administered by the ABD.13 This process includes approximately 20 hours of examinations designed to assess both knowledge and practical skills. For those who wish to further specialize, additional fellowship training in areas such as pediatric dermatology, dermatopathology, or Mohs surgery may follow residency; such fellowships involve an extra 2500 to 3500 hours of training and culminate in another certification examination, further refining a resident’s expertise in a specific dermatologic field. Osteopathic physicians may opt out of the ABD 3-step pathway and obtain board certification through the American Osteopathic Board of Dermatology.14

Many of the programs we evaluated integrate APP trainees into resident education, allowing participation in equivalent didactic curricula, clinical rotations, and departmental academic activities. The salary and benefits associated with these programs are somewhat like those of resident physicians.15,16 While most tuition-based programs were excluded from our study due to their lack of credibility and alignment with our study criteria, we identified 2 specific programs that stood out as credible despite requiring students to pay tuition. These programs demonstrated a structured and rigorous curriculum with a clear focus on comprehensive dermatologic training, meeting our standards for inclusion. These programs offer dermatologic training for graduates of NP and PA programs at a cost to the student.15,16 The program at the Florida Atlantic University, Boca Raton, is largely online,15 and the program at the University of Miami, Florida, offers no direct clinical contact.16 These programs illustrate the variety of postgraduate dermatology curricula available nationally in comparison to resident salaries; however, they were not included in our formal analysis because they do not provide structured, in-person clinical training consistent with our inclusion criteria. Neither of these programs would enable participants to qualify for credentialing with the Dermatology Nurse Practitioner Certification Board after completion. While this study identified postgraduate training programs for APPs in dermatology advertised online, it is possible some were omitted or not advertised online.

While many of the postgraduate programs we evaluated provide unique educational opportunities for APPs, it is unknown if graduating providers are equipped to handle the care of patients with complex dermatologic needs. Regardless, the increased utilization of APPs by BCDs has been well documented over the past 2 decades.17-20 It has been suggested that a higher ratio of APPs to dermatologists can decrease the time it takes for a patient to be seen in a clinic.21-23 However, investigators have expressed concerns that APPs lack standardized surgical training and clinical hour requirements in the field of dermatology.24 Despite these concerns, Medicare claims data show that APPs are performing advanced surgical and cosmetic procedures at increasing rates.17,18 Other authors have questioned the cost-effectiveness of APPs, as multiple studies have shown that the number of biopsies needed to diagnose 1 case of skin cancer is higher for midlevel providers than for dermatologists.25-27

Conclusion

With the anticipated expansion of private equity in dermatology and the growth of our Medicare-eligible population, we are likely to see increased utilization of APPs to address the shortage of BCDs.28,29 Understanding the prelicensure and postlicensure clinical training requirements, examination hours, and extent of dermatology-focused education among APPs and BCDs can help dermatologists collaborate more effectively and ensure safe, high-quality patient care. Standardizing, improving, and providing high-quality education and promoting lifelong learning in the field of dermatology should be celebrated, and dermatologists are the skin experts best equipped to lead dermatologic education forward.

References
  1. Robeznieks A. Training gaps between physicians, nonphysicians are significant. American Medical Association. February 17, 2025. Accessed October 23, 2025. https://www.ama-assn.org/practice-management/scope-practice/training-gaps-between-physicians-nonphysicians-are-significant
  2. American Nurses Credentialing Center. Test content outline. Accessed October 6, 2025. https://www.nursingworld.org/globalassets/08282024-exam-24-npd-tco-website.pdf
  3. American Academy of Nurse Practitioners National Certification Board. AANPCB Family Nurse Practitioner Adult-Gerontology Primary Care Nurse Practitioner Psychiatric Mental Health Pratitioner: FNP, AGNP & PMHNP Certification Certification Handbook. American Academy of Nurse Practitioners Certification Board; 2023. Accessed October 6, 2025. https://www.aanpcert.org/resource/documents/AGNP%20FNP%20Candidate%20Handbook.pdf
  4. Society of Dermatology Physician Associates. SDPA Diplomate Fellowship. Accessed October 6, 2025. https://learning.dermpa.orgdiplomate-fellowship
  5. American Academy of Physician Associates. Become a PA. Accessed October 6, 2025. https://www.aapa.org/career-central/become-a-pa/
  6. United States Medical Licensing Examination. Prepare for your exam. Accessed October 6, 2025. https://www.usmle.org/prepare-your-exam
  7. National Board of Osteopathic Medical Examiners. Patient presentations related to the integumentary system. Accessed October 6, 2025. https://www.nbome.org/assessments/comlex-usa/comlex-usa-blueprint/d2-clinical-presentations/integumentary-system
  8. National Commission on Certification of Physician Assistants. PANCE content blueprint. Accessed October 6, 2025. https://prodcmsstoragesa.blob.core.windows.net/uploads/files/PANCEBlueprint.pdf
  9. American Association of Nurse Practitioners. Practice information by state. Accessed October 6, 2025. https://www.aanp.org/practice/practice-information-by-state
  10. Dermatology Nurse Practitioner Certification Board. Eligibility. Accessed October 6, 2025. https://www.dnpcb.org/eligibility.php
  11. National Board of Dermatology Physician Assistants. Certification. Accessed September 3, 2022.
  12. Society of Dermatology Physician Associates. SDPA statement regarding the ABDPA Board Certification Exam for derm PAs. October 8, 2019. Accessed October 6, 2025. https://www.dermpa.org/news/articles/2019-10/sdpa-statement-regarding-abdpa-board-certification-exam-derm-pas
  13. American Board of Dermatology. Residents and fellows. Accessed October 6, 2025. https://www.abderm.org/residents-and-fellows
  14. American Osteopathic Board of Dermatology. Primary certificaiton exam. Accessed October 6, 2025. https://certification.osteopathic.org/dermatology/certification-process/dermatology/written-exams/
  15. Florida Atlantic University. Christine E. Lynn College of Nursing. Dermatology nurse practitioner certificate program. Accessed October 6, 2025. https://www.fau.edu/nursing/academics/certificates/dermatology-program/
  16. Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery. Advanced Practitioner Program.
  17. Coldiron B, Ratnarathorn M. Scope of physician procedures independently billed by mid-level providers in the office setting. JAMA Dermatol. 2014;150:1153-1159.
  18. Zhang M, Zippin J, Kaffenberger B. Trends and scope of dermatology procedures billed by advanced practice professionals from 2012 through 2015. JAMA Dermatol. 2018;154:1040-1044.
  19. Resneck J Jr, Kimball AB. The dermatology workforce shortage. J Am Acad Dermatol. 2004;50:50-54.
  20. Kimball AB, Resneck JS Jr. The US dermatology workforce: a specialty remains in shortage. J Am Acad Dermatol. 2008;59:741-745.
  21. Creadore A, Desai S, Li SJ, et al. Insurance acceptance, appointment wait time, and dermatologist access across practice types in the US. JAMA Dermatol. 2021;157:181-188.
  22. Braun RT, Bond AM, Qian Y, et al. Private equity in dermatology: effect on price, utilization, and spending. Health Aff (Millwood). 2021;40:727-735.
  23. Skaljic M, Lipoff JB. Association of private equity ownership with increased employment of advanced practice professionals in outpatient dermatology offices. J Am Acad Dermatol. 2021;84:1178-1180.
  24. Jalian HR, Avram MM. Mid-level practitioners in dermatology: a need for further study and oversight. JAMA Dermatol. 2014;150:1149-1151.
  25. Sarzynski E, Barry H. Current evidence and controversies: advanced practice providers in healthcare. Am J Manag Care. 2019;25:366-368. 
  26. Nault A, Zhang C, Kim K, et al. Biopsy use in skin cancer diagnosis: comparing dermatology physicians and advanced practice professionals. JAMA Dermatol. 2015;151:899-902.
  27. Anderson AM, Matsumoto M, Saul MI, et al. Accuracy of skin cancer diagnosis by physician assistants compared with dermatologists in a large health care system. JAMA Dermatol. 2018;154:569-573.
  28. Sung C, Salem S, Oulee A, et al. A systematic review: landscape of private equity in dermatology from past to present. J Drugs Dermatol. 2023 Apr 1;22:404-409. doi: 10.36849/JDD.6892.
  29. CMS releases National Healthcare Expenditure and enrollment projections through 2031. Health Management Associates. July 13, 2023. Accessed October 23, 2025. https://www.healthmanagement.com/blog/cms-releases-national-healthcare-expenditure-and-enrollment-projections-through-2031/
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Author and Disclosure Information

Dr. Mehrmal is from Epiphany Dermatology, Saint Louis, Missouri. Dr. Mazumder is from the Department of Dermatology, Saint Francis Hospital, Chicago, Illinois. Dr. Poole is from the Division of Dermatology, WashU Medicine, Saint Louis, Missouri. Dr. Heinecke is from the Department of Dermatology, Saint Louis University School of Medicine, Missouri. Nehaa Sohail is from the Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso.

The authors have no relevant financial disclosures to report.

Correspondence: Sino Mehrmal, DO, 8888 Ladue Rd, Ste 120, St. Louis, MO 63124 (smehrmal@gmail.com).

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Dr. Mehrmal is from Epiphany Dermatology, Saint Louis, Missouri. Dr. Mazumder is from the Department of Dermatology, Saint Francis Hospital, Chicago, Illinois. Dr. Poole is from the Division of Dermatology, WashU Medicine, Saint Louis, Missouri. Dr. Heinecke is from the Department of Dermatology, Saint Louis University School of Medicine, Missouri. Nehaa Sohail is from the Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso.

The authors have no relevant financial disclosures to report.

Correspondence: Sino Mehrmal, DO, 8888 Ladue Rd, Ste 120, St. Louis, MO 63124 (smehrmal@gmail.com).

Cutis. 2025 November;116(5):180-183, E6-E8. doi:10.12788/cutis.1298

Author and Disclosure Information

Dr. Mehrmal is from Epiphany Dermatology, Saint Louis, Missouri. Dr. Mazumder is from the Department of Dermatology, Saint Francis Hospital, Chicago, Illinois. Dr. Poole is from the Division of Dermatology, WashU Medicine, Saint Louis, Missouri. Dr. Heinecke is from the Department of Dermatology, Saint Louis University School of Medicine, Missouri. Nehaa Sohail is from the Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso.

The authors have no relevant financial disclosures to report.

Correspondence: Sino Mehrmal, DO, 8888 Ladue Rd, Ste 120, St. Louis, MO 63124 (smehrmal@gmail.com).

Cutis. 2025 November;116(5):180-183, E6-E8. doi:10.12788/cutis.1298

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Nurse practitioners (NPs) and physician assistants (PAs) often help provide dermatologic care but lack the same mandatory specialized postgraduate training required of board-certified dermatologists (BCDs), which includes at least 3 years of dermatology-focused education in an accredited residency program in addition to an intern year of general medicine, pediatrics, or surgery. Dermatology residency is followed by a certification examination administered by the American Board of Dermatology (ABD) or the American Osteopathic Board of Dermatology, leading to board certification. Some physicians choose to do a fellowship, which typically involves an additional 1 to 2 years of postresidency subspeciality training.

Optional postgraduate dermatology training programs for advanced practice providers (APPs) have been offered by some academic institutions and private practice groups since at least 2003, including Lahey Hospital and Medical Center (Burlington, Massachusetts) as well as the University of Rochester Medical Center (Rochester, New York). Despite a lack of accreditation or standardization, the programs can be beneficial for NPs and PAs to expand their dermatologic knowledge and skills and help bridge the care gap within the specialty. Didactics often are conducted in parallel with the educational activities of the parent institution’s traditional dermatology residency program (eg, lectures, grand rounds). While these programs often are managed by practicing dermatology NPs and PAs, dermatologists also may be involved in their education with didactic instruction, curriculum development, and clinical preceptorship. 

In this cross-sectional study, we identified and evaluated 10 postgraduate dermatology training programs for APPs across the United States. With the growing number of NPs and PAs in the dermatology workforce—both in academic and private practice—it is important for BCDs to be aware of the differences in the dermatology training received in order to ensure safe and effective care is provided through supervisory or collaborative roles (depending on state independent practice laws for APPs and to be aware of the implications these programs may have on the field of dermatology.

Methods

To identify postgraduate dermatology training programs for APPs in the United States, we conducted a cross-sectional study using data obtained via a Google search of various combinations of the following terms: nurse practitioner, NP, physician assistant, PA, advance practice provider, APP, dermatology, postgraduate training, residency, and fellowship. We excluded postgraduate dermatology training programs for APPs that required tuition and did not provide a stipend, as well as programs that lacked the formal structure and credibility needed to qualify as legitimate postgraduate training. Many of the excluded programs operate in a manner that raises ethical concerns, offering pay-to-play opportunities under the guise of education. Information collected on each program included the program name, location, parent institution, program length, class size, curriculum, and any associated salary and benefits.

Results

Ten academic and private practice organizations across the United States that offer postgraduate dermatologic training programs for APPs were identified (eTable). Four (40%) programs were advertised as fellowships. Six (60%) of the programs were offered at academic medical centers, and 4 (40%) were offered by private practices. Most programs were located east of the Mississippi River, and many institutions offered instruction at 1 or more locations within the same state (eFigure). The Advanced Dermatology and Cosmetic Surgery private practice group offered training opportunities in multiple states.

MehrmalCT116005180-eTable_part1MehrmalCT116005180-eTable_part2
Mehrmal-efig
eFIGURE. Geographic distribution of postgraduate dermatology training programs for midlevel providers. Red dots indicate Advanced Dermatology and Cosmetic Surgery locations.

Six programs required APPs to become board-certified NPs or PAs prior to enrolling. Most programs enrolled both NPs and PAs, while some only enrolled NPs (eTable). Only 1 (10%) program required NPs to be board certified as a family NP, while another (10%) recommended that applicants have experience in urgent care, emergency medicine, or trauma medicine. Lahey Hospital & Medical Center required experience as an NP in a general setting for 1 to 2 years prior to applying. No program required prior experience in the field of dermatology.

Program length varied from 6 to 24 months, and cohort size typically was limited to 1 to 2 providers (eTable). Although the exact numbers could not be ascertained, most curricula focused on medical dermatology, including clinical and didactic components, but many offered electives such as cosmetic and procedural dermatology. Two institutions (20%) required independent research. Work typically was limited to 40 hours per week, and most paid a full-time employee salary and provided benefits such as health insurance, retirement, and paid leave (eTable). Kansas Medical Clinic (Topeka, Kansas) required at least 3 years of employment in an underserved community following program completion. The Oasis Dermatology private practice group in Texas required a 1-year teaching commitment after program completion. The Advanced Dermatology and Cosmetic Surgery group offered a full-time position upon program completion.

Comment

There is a large difference in the total number of training and credentialing hours when comparing graduate school training and postgraduate credentialing of medical and osteopathic physicians compared with APPs. A new graduate physician has at least twice as many clinical hours as a PA and 10 times as many clinical hours as an NP prior to starting residency. Physicians also typically complete at least 6 times the number of hours of certification examinations compared to NPs and PAs.1

Nurse practitioner students typically complete the 500 hours of prelicensure clinical training required for NP school in 2 to 4 years.2,3 The amount of time required for completion is dependent on the degree and experience of the student upon program entry (eg, bachelor of science in nursing vs master of science in nursing as a terminal degree). Physician assistant students are required to complete 2000 prelicensure clinical hours, and most PA programs are 3 years in duration.4 Many NP and PA programs require some degree of clinical experience prior to beginning graduate education.5

When comparing prelicensure examinations, questions assessing dermatologic knowledge comprise approximately 6% to 10% of the total questions on the United States Medical Licensing Examination Steps 1 and 2.6 The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 and Level 2-Cognitive Evaluation both have at least 5% of questions dedicated to dermatology.7 Approximately 5% of the questions on the Physician Assistant National Certifying Examination are dedicated to dermatology.8 The dermatology content on either of the NP certification examinations is unclear.2,3 In the states of California, Indiana, and New York, national certification through the American Association of Nurse Practitioners or American Nurses Credentialing Center is not required for NPs to practice in their respective states.9

Regarding dermatologic board certification, a new graduate NP may obtain certification from the Dermatology Nurse Practitioner Certification Board with 3000 hours of general dermatology practice that may occur during normal working hours.10 These hours do not have to occur in one of the previously identified postgraduate APP training programs. The National Board of Dermatology Physician Assistants was founded in 2018 and has since dissolved. The National Board of Dermatology Physician Assistants was not accredited and required at least 3 years of training in dermatology with the same dermatologist in addition to completing a 125-question multiple-choice examination.11 Of note, this examination was opposed by both the ABD and the Society for Dermatology Physician Associates.12 A PA also may become a Diplomate Fellow with the Society of Dermatology Physician Associates after completion of 64.5 hours of online continuing education modules.4 Some PAs may choose to obtain a Certificate of Added Qualifications, which is a voluntary credential that helps document specialty experience and expertise in dermatology or other specialties.

In contrast, a dermatology resident physician requires nearly 11,000 to 13,000 hours of clinical training hours, which last 3 to 4 years following medical school.13 This training involves direct patient care under supervision in various settings, including hospitals, outpatient clinics, and surgical procedures. In addition to this clinical experience, dermatology residents must pass a 3-step certification examination process administered by the ABD.13 This process includes approximately 20 hours of examinations designed to assess both knowledge and practical skills. For those who wish to further specialize, additional fellowship training in areas such as pediatric dermatology, dermatopathology, or Mohs surgery may follow residency; such fellowships involve an extra 2500 to 3500 hours of training and culminate in another certification examination, further refining a resident’s expertise in a specific dermatologic field. Osteopathic physicians may opt out of the ABD 3-step pathway and obtain board certification through the American Osteopathic Board of Dermatology.14

Many of the programs we evaluated integrate APP trainees into resident education, allowing participation in equivalent didactic curricula, clinical rotations, and departmental academic activities. The salary and benefits associated with these programs are somewhat like those of resident physicians.15,16 While most tuition-based programs were excluded from our study due to their lack of credibility and alignment with our study criteria, we identified 2 specific programs that stood out as credible despite requiring students to pay tuition. These programs demonstrated a structured and rigorous curriculum with a clear focus on comprehensive dermatologic training, meeting our standards for inclusion. These programs offer dermatologic training for graduates of NP and PA programs at a cost to the student.15,16 The program at the Florida Atlantic University, Boca Raton, is largely online,15 and the program at the University of Miami, Florida, offers no direct clinical contact.16 These programs illustrate the variety of postgraduate dermatology curricula available nationally in comparison to resident salaries; however, they were not included in our formal analysis because they do not provide structured, in-person clinical training consistent with our inclusion criteria. Neither of these programs would enable participants to qualify for credentialing with the Dermatology Nurse Practitioner Certification Board after completion. While this study identified postgraduate training programs for APPs in dermatology advertised online, it is possible some were omitted or not advertised online.

While many of the postgraduate programs we evaluated provide unique educational opportunities for APPs, it is unknown if graduating providers are equipped to handle the care of patients with complex dermatologic needs. Regardless, the increased utilization of APPs by BCDs has been well documented over the past 2 decades.17-20 It has been suggested that a higher ratio of APPs to dermatologists can decrease the time it takes for a patient to be seen in a clinic.21-23 However, investigators have expressed concerns that APPs lack standardized surgical training and clinical hour requirements in the field of dermatology.24 Despite these concerns, Medicare claims data show that APPs are performing advanced surgical and cosmetic procedures at increasing rates.17,18 Other authors have questioned the cost-effectiveness of APPs, as multiple studies have shown that the number of biopsies needed to diagnose 1 case of skin cancer is higher for midlevel providers than for dermatologists.25-27

Conclusion

With the anticipated expansion of private equity in dermatology and the growth of our Medicare-eligible population, we are likely to see increased utilization of APPs to address the shortage of BCDs.28,29 Understanding the prelicensure and postlicensure clinical training requirements, examination hours, and extent of dermatology-focused education among APPs and BCDs can help dermatologists collaborate more effectively and ensure safe, high-quality patient care. Standardizing, improving, and providing high-quality education and promoting lifelong learning in the field of dermatology should be celebrated, and dermatologists are the skin experts best equipped to lead dermatologic education forward.

Nurse practitioners (NPs) and physician assistants (PAs) often help provide dermatologic care but lack the same mandatory specialized postgraduate training required of board-certified dermatologists (BCDs), which includes at least 3 years of dermatology-focused education in an accredited residency program in addition to an intern year of general medicine, pediatrics, or surgery. Dermatology residency is followed by a certification examination administered by the American Board of Dermatology (ABD) or the American Osteopathic Board of Dermatology, leading to board certification. Some physicians choose to do a fellowship, which typically involves an additional 1 to 2 years of postresidency subspeciality training.

Optional postgraduate dermatology training programs for advanced practice providers (APPs) have been offered by some academic institutions and private practice groups since at least 2003, including Lahey Hospital and Medical Center (Burlington, Massachusetts) as well as the University of Rochester Medical Center (Rochester, New York). Despite a lack of accreditation or standardization, the programs can be beneficial for NPs and PAs to expand their dermatologic knowledge and skills and help bridge the care gap within the specialty. Didactics often are conducted in parallel with the educational activities of the parent institution’s traditional dermatology residency program (eg, lectures, grand rounds). While these programs often are managed by practicing dermatology NPs and PAs, dermatologists also may be involved in their education with didactic instruction, curriculum development, and clinical preceptorship. 

In this cross-sectional study, we identified and evaluated 10 postgraduate dermatology training programs for APPs across the United States. With the growing number of NPs and PAs in the dermatology workforce—both in academic and private practice—it is important for BCDs to be aware of the differences in the dermatology training received in order to ensure safe and effective care is provided through supervisory or collaborative roles (depending on state independent practice laws for APPs and to be aware of the implications these programs may have on the field of dermatology.

Methods

To identify postgraduate dermatology training programs for APPs in the United States, we conducted a cross-sectional study using data obtained via a Google search of various combinations of the following terms: nurse practitioner, NP, physician assistant, PA, advance practice provider, APP, dermatology, postgraduate training, residency, and fellowship. We excluded postgraduate dermatology training programs for APPs that required tuition and did not provide a stipend, as well as programs that lacked the formal structure and credibility needed to qualify as legitimate postgraduate training. Many of the excluded programs operate in a manner that raises ethical concerns, offering pay-to-play opportunities under the guise of education. Information collected on each program included the program name, location, parent institution, program length, class size, curriculum, and any associated salary and benefits.

Results

Ten academic and private practice organizations across the United States that offer postgraduate dermatologic training programs for APPs were identified (eTable). Four (40%) programs were advertised as fellowships. Six (60%) of the programs were offered at academic medical centers, and 4 (40%) were offered by private practices. Most programs were located east of the Mississippi River, and many institutions offered instruction at 1 or more locations within the same state (eFigure). The Advanced Dermatology and Cosmetic Surgery private practice group offered training opportunities in multiple states.

MehrmalCT116005180-eTable_part1MehrmalCT116005180-eTable_part2
Mehrmal-efig
eFIGURE. Geographic distribution of postgraduate dermatology training programs for midlevel providers. Red dots indicate Advanced Dermatology and Cosmetic Surgery locations.

Six programs required APPs to become board-certified NPs or PAs prior to enrolling. Most programs enrolled both NPs and PAs, while some only enrolled NPs (eTable). Only 1 (10%) program required NPs to be board certified as a family NP, while another (10%) recommended that applicants have experience in urgent care, emergency medicine, or trauma medicine. Lahey Hospital & Medical Center required experience as an NP in a general setting for 1 to 2 years prior to applying. No program required prior experience in the field of dermatology.

Program length varied from 6 to 24 months, and cohort size typically was limited to 1 to 2 providers (eTable). Although the exact numbers could not be ascertained, most curricula focused on medical dermatology, including clinical and didactic components, but many offered electives such as cosmetic and procedural dermatology. Two institutions (20%) required independent research. Work typically was limited to 40 hours per week, and most paid a full-time employee salary and provided benefits such as health insurance, retirement, and paid leave (eTable). Kansas Medical Clinic (Topeka, Kansas) required at least 3 years of employment in an underserved community following program completion. The Oasis Dermatology private practice group in Texas required a 1-year teaching commitment after program completion. The Advanced Dermatology and Cosmetic Surgery group offered a full-time position upon program completion.

Comment

There is a large difference in the total number of training and credentialing hours when comparing graduate school training and postgraduate credentialing of medical and osteopathic physicians compared with APPs. A new graduate physician has at least twice as many clinical hours as a PA and 10 times as many clinical hours as an NP prior to starting residency. Physicians also typically complete at least 6 times the number of hours of certification examinations compared to NPs and PAs.1

Nurse practitioner students typically complete the 500 hours of prelicensure clinical training required for NP school in 2 to 4 years.2,3 The amount of time required for completion is dependent on the degree and experience of the student upon program entry (eg, bachelor of science in nursing vs master of science in nursing as a terminal degree). Physician assistant students are required to complete 2000 prelicensure clinical hours, and most PA programs are 3 years in duration.4 Many NP and PA programs require some degree of clinical experience prior to beginning graduate education.5

When comparing prelicensure examinations, questions assessing dermatologic knowledge comprise approximately 6% to 10% of the total questions on the United States Medical Licensing Examination Steps 1 and 2.6 The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 and Level 2-Cognitive Evaluation both have at least 5% of questions dedicated to dermatology.7 Approximately 5% of the questions on the Physician Assistant National Certifying Examination are dedicated to dermatology.8 The dermatology content on either of the NP certification examinations is unclear.2,3 In the states of California, Indiana, and New York, national certification through the American Association of Nurse Practitioners or American Nurses Credentialing Center is not required for NPs to practice in their respective states.9

Regarding dermatologic board certification, a new graduate NP may obtain certification from the Dermatology Nurse Practitioner Certification Board with 3000 hours of general dermatology practice that may occur during normal working hours.10 These hours do not have to occur in one of the previously identified postgraduate APP training programs. The National Board of Dermatology Physician Assistants was founded in 2018 and has since dissolved. The National Board of Dermatology Physician Assistants was not accredited and required at least 3 years of training in dermatology with the same dermatologist in addition to completing a 125-question multiple-choice examination.11 Of note, this examination was opposed by both the ABD and the Society for Dermatology Physician Associates.12 A PA also may become a Diplomate Fellow with the Society of Dermatology Physician Associates after completion of 64.5 hours of online continuing education modules.4 Some PAs may choose to obtain a Certificate of Added Qualifications, which is a voluntary credential that helps document specialty experience and expertise in dermatology or other specialties.

In contrast, a dermatology resident physician requires nearly 11,000 to 13,000 hours of clinical training hours, which last 3 to 4 years following medical school.13 This training involves direct patient care under supervision in various settings, including hospitals, outpatient clinics, and surgical procedures. In addition to this clinical experience, dermatology residents must pass a 3-step certification examination process administered by the ABD.13 This process includes approximately 20 hours of examinations designed to assess both knowledge and practical skills. For those who wish to further specialize, additional fellowship training in areas such as pediatric dermatology, dermatopathology, or Mohs surgery may follow residency; such fellowships involve an extra 2500 to 3500 hours of training and culminate in another certification examination, further refining a resident’s expertise in a specific dermatologic field. Osteopathic physicians may opt out of the ABD 3-step pathway and obtain board certification through the American Osteopathic Board of Dermatology.14

Many of the programs we evaluated integrate APP trainees into resident education, allowing participation in equivalent didactic curricula, clinical rotations, and departmental academic activities. The salary and benefits associated with these programs are somewhat like those of resident physicians.15,16 While most tuition-based programs were excluded from our study due to their lack of credibility and alignment with our study criteria, we identified 2 specific programs that stood out as credible despite requiring students to pay tuition. These programs demonstrated a structured and rigorous curriculum with a clear focus on comprehensive dermatologic training, meeting our standards for inclusion. These programs offer dermatologic training for graduates of NP and PA programs at a cost to the student.15,16 The program at the Florida Atlantic University, Boca Raton, is largely online,15 and the program at the University of Miami, Florida, offers no direct clinical contact.16 These programs illustrate the variety of postgraduate dermatology curricula available nationally in comparison to resident salaries; however, they were not included in our formal analysis because they do not provide structured, in-person clinical training consistent with our inclusion criteria. Neither of these programs would enable participants to qualify for credentialing with the Dermatology Nurse Practitioner Certification Board after completion. While this study identified postgraduate training programs for APPs in dermatology advertised online, it is possible some were omitted or not advertised online.

While many of the postgraduate programs we evaluated provide unique educational opportunities for APPs, it is unknown if graduating providers are equipped to handle the care of patients with complex dermatologic needs. Regardless, the increased utilization of APPs by BCDs has been well documented over the past 2 decades.17-20 It has been suggested that a higher ratio of APPs to dermatologists can decrease the time it takes for a patient to be seen in a clinic.21-23 However, investigators have expressed concerns that APPs lack standardized surgical training and clinical hour requirements in the field of dermatology.24 Despite these concerns, Medicare claims data show that APPs are performing advanced surgical and cosmetic procedures at increasing rates.17,18 Other authors have questioned the cost-effectiveness of APPs, as multiple studies have shown that the number of biopsies needed to diagnose 1 case of skin cancer is higher for midlevel providers than for dermatologists.25-27

Conclusion

With the anticipated expansion of private equity in dermatology and the growth of our Medicare-eligible population, we are likely to see increased utilization of APPs to address the shortage of BCDs.28,29 Understanding the prelicensure and postlicensure clinical training requirements, examination hours, and extent of dermatology-focused education among APPs and BCDs can help dermatologists collaborate more effectively and ensure safe, high-quality patient care. Standardizing, improving, and providing high-quality education and promoting lifelong learning in the field of dermatology should be celebrated, and dermatologists are the skin experts best equipped to lead dermatologic education forward.

References
  1. Robeznieks A. Training gaps between physicians, nonphysicians are significant. American Medical Association. February 17, 2025. Accessed October 23, 2025. https://www.ama-assn.org/practice-management/scope-practice/training-gaps-between-physicians-nonphysicians-are-significant
  2. American Nurses Credentialing Center. Test content outline. Accessed October 6, 2025. https://www.nursingworld.org/globalassets/08282024-exam-24-npd-tco-website.pdf
  3. American Academy of Nurse Practitioners National Certification Board. AANPCB Family Nurse Practitioner Adult-Gerontology Primary Care Nurse Practitioner Psychiatric Mental Health Pratitioner: FNP, AGNP & PMHNP Certification Certification Handbook. American Academy of Nurse Practitioners Certification Board; 2023. Accessed October 6, 2025. https://www.aanpcert.org/resource/documents/AGNP%20FNP%20Candidate%20Handbook.pdf
  4. Society of Dermatology Physician Associates. SDPA Diplomate Fellowship. Accessed October 6, 2025. https://learning.dermpa.orgdiplomate-fellowship
  5. American Academy of Physician Associates. Become a PA. Accessed October 6, 2025. https://www.aapa.org/career-central/become-a-pa/
  6. United States Medical Licensing Examination. Prepare for your exam. Accessed October 6, 2025. https://www.usmle.org/prepare-your-exam
  7. National Board of Osteopathic Medical Examiners. Patient presentations related to the integumentary system. Accessed October 6, 2025. https://www.nbome.org/assessments/comlex-usa/comlex-usa-blueprint/d2-clinical-presentations/integumentary-system
  8. National Commission on Certification of Physician Assistants. PANCE content blueprint. Accessed October 6, 2025. https://prodcmsstoragesa.blob.core.windows.net/uploads/files/PANCEBlueprint.pdf
  9. American Association of Nurse Practitioners. Practice information by state. Accessed October 6, 2025. https://www.aanp.org/practice/practice-information-by-state
  10. Dermatology Nurse Practitioner Certification Board. Eligibility. Accessed October 6, 2025. https://www.dnpcb.org/eligibility.php
  11. National Board of Dermatology Physician Assistants. Certification. Accessed September 3, 2022.
  12. Society of Dermatology Physician Associates. SDPA statement regarding the ABDPA Board Certification Exam for derm PAs. October 8, 2019. Accessed October 6, 2025. https://www.dermpa.org/news/articles/2019-10/sdpa-statement-regarding-abdpa-board-certification-exam-derm-pas
  13. American Board of Dermatology. Residents and fellows. Accessed October 6, 2025. https://www.abderm.org/residents-and-fellows
  14. American Osteopathic Board of Dermatology. Primary certificaiton exam. Accessed October 6, 2025. https://certification.osteopathic.org/dermatology/certification-process/dermatology/written-exams/
  15. Florida Atlantic University. Christine E. Lynn College of Nursing. Dermatology nurse practitioner certificate program. Accessed October 6, 2025. https://www.fau.edu/nursing/academics/certificates/dermatology-program/
  16. Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery. Advanced Practitioner Program.
  17. Coldiron B, Ratnarathorn M. Scope of physician procedures independently billed by mid-level providers in the office setting. JAMA Dermatol. 2014;150:1153-1159.
  18. Zhang M, Zippin J, Kaffenberger B. Trends and scope of dermatology procedures billed by advanced practice professionals from 2012 through 2015. JAMA Dermatol. 2018;154:1040-1044.
  19. Resneck J Jr, Kimball AB. The dermatology workforce shortage. J Am Acad Dermatol. 2004;50:50-54.
  20. Kimball AB, Resneck JS Jr. The US dermatology workforce: a specialty remains in shortage. J Am Acad Dermatol. 2008;59:741-745.
  21. Creadore A, Desai S, Li SJ, et al. Insurance acceptance, appointment wait time, and dermatologist access across practice types in the US. JAMA Dermatol. 2021;157:181-188.
  22. Braun RT, Bond AM, Qian Y, et al. Private equity in dermatology: effect on price, utilization, and spending. Health Aff (Millwood). 2021;40:727-735.
  23. Skaljic M, Lipoff JB. Association of private equity ownership with increased employment of advanced practice professionals in outpatient dermatology offices. J Am Acad Dermatol. 2021;84:1178-1180.
  24. Jalian HR, Avram MM. Mid-level practitioners in dermatology: a need for further study and oversight. JAMA Dermatol. 2014;150:1149-1151.
  25. Sarzynski E, Barry H. Current evidence and controversies: advanced practice providers in healthcare. Am J Manag Care. 2019;25:366-368. 
  26. Nault A, Zhang C, Kim K, et al. Biopsy use in skin cancer diagnosis: comparing dermatology physicians and advanced practice professionals. JAMA Dermatol. 2015;151:899-902.
  27. Anderson AM, Matsumoto M, Saul MI, et al. Accuracy of skin cancer diagnosis by physician assistants compared with dermatologists in a large health care system. JAMA Dermatol. 2018;154:569-573.
  28. Sung C, Salem S, Oulee A, et al. A systematic review: landscape of private equity in dermatology from past to present. J Drugs Dermatol. 2023 Apr 1;22:404-409. doi: 10.36849/JDD.6892.
  29. CMS releases National Healthcare Expenditure and enrollment projections through 2031. Health Management Associates. July 13, 2023. Accessed October 23, 2025. https://www.healthmanagement.com/blog/cms-releases-national-healthcare-expenditure-and-enrollment-projections-through-2031/
References
  1. Robeznieks A. Training gaps between physicians, nonphysicians are significant. American Medical Association. February 17, 2025. Accessed October 23, 2025. https://www.ama-assn.org/practice-management/scope-practice/training-gaps-between-physicians-nonphysicians-are-significant
  2. American Nurses Credentialing Center. Test content outline. Accessed October 6, 2025. https://www.nursingworld.org/globalassets/08282024-exam-24-npd-tco-website.pdf
  3. American Academy of Nurse Practitioners National Certification Board. AANPCB Family Nurse Practitioner Adult-Gerontology Primary Care Nurse Practitioner Psychiatric Mental Health Pratitioner: FNP, AGNP & PMHNP Certification Certification Handbook. American Academy of Nurse Practitioners Certification Board; 2023. Accessed October 6, 2025. https://www.aanpcert.org/resource/documents/AGNP%20FNP%20Candidate%20Handbook.pdf
  4. Society of Dermatology Physician Associates. SDPA Diplomate Fellowship. Accessed October 6, 2025. https://learning.dermpa.orgdiplomate-fellowship
  5. American Academy of Physician Associates. Become a PA. Accessed October 6, 2025. https://www.aapa.org/career-central/become-a-pa/
  6. United States Medical Licensing Examination. Prepare for your exam. Accessed October 6, 2025. https://www.usmle.org/prepare-your-exam
  7. National Board of Osteopathic Medical Examiners. Patient presentations related to the integumentary system. Accessed October 6, 2025. https://www.nbome.org/assessments/comlex-usa/comlex-usa-blueprint/d2-clinical-presentations/integumentary-system
  8. National Commission on Certification of Physician Assistants. PANCE content blueprint. Accessed October 6, 2025. https://prodcmsstoragesa.blob.core.windows.net/uploads/files/PANCEBlueprint.pdf
  9. American Association of Nurse Practitioners. Practice information by state. Accessed October 6, 2025. https://www.aanp.org/practice/practice-information-by-state
  10. Dermatology Nurse Practitioner Certification Board. Eligibility. Accessed October 6, 2025. https://www.dnpcb.org/eligibility.php
  11. National Board of Dermatology Physician Assistants. Certification. Accessed September 3, 2022.
  12. Society of Dermatology Physician Associates. SDPA statement regarding the ABDPA Board Certification Exam for derm PAs. October 8, 2019. Accessed October 6, 2025. https://www.dermpa.org/news/articles/2019-10/sdpa-statement-regarding-abdpa-board-certification-exam-derm-pas
  13. American Board of Dermatology. Residents and fellows. Accessed October 6, 2025. https://www.abderm.org/residents-and-fellows
  14. American Osteopathic Board of Dermatology. Primary certificaiton exam. Accessed October 6, 2025. https://certification.osteopathic.org/dermatology/certification-process/dermatology/written-exams/
  15. Florida Atlantic University. Christine E. Lynn College of Nursing. Dermatology nurse practitioner certificate program. Accessed October 6, 2025. https://www.fau.edu/nursing/academics/certificates/dermatology-program/
  16. Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery. Advanced Practitioner Program.
  17. Coldiron B, Ratnarathorn M. Scope of physician procedures independently billed by mid-level providers in the office setting. JAMA Dermatol. 2014;150:1153-1159.
  18. Zhang M, Zippin J, Kaffenberger B. Trends and scope of dermatology procedures billed by advanced practice professionals from 2012 through 2015. JAMA Dermatol. 2018;154:1040-1044.
  19. Resneck J Jr, Kimball AB. The dermatology workforce shortage. J Am Acad Dermatol. 2004;50:50-54.
  20. Kimball AB, Resneck JS Jr. The US dermatology workforce: a specialty remains in shortage. J Am Acad Dermatol. 2008;59:741-745.
  21. Creadore A, Desai S, Li SJ, et al. Insurance acceptance, appointment wait time, and dermatologist access across practice types in the US. JAMA Dermatol. 2021;157:181-188.
  22. Braun RT, Bond AM, Qian Y, et al. Private equity in dermatology: effect on price, utilization, and spending. Health Aff (Millwood). 2021;40:727-735.
  23. Skaljic M, Lipoff JB. Association of private equity ownership with increased employment of advanced practice professionals in outpatient dermatology offices. J Am Acad Dermatol. 2021;84:1178-1180.
  24. Jalian HR, Avram MM. Mid-level practitioners in dermatology: a need for further study and oversight. JAMA Dermatol. 2014;150:1149-1151.
  25. Sarzynski E, Barry H. Current evidence and controversies: advanced practice providers in healthcare. Am J Manag Care. 2019;25:366-368. 
  26. Nault A, Zhang C, Kim K, et al. Biopsy use in skin cancer diagnosis: comparing dermatology physicians and advanced practice professionals. JAMA Dermatol. 2015;151:899-902.
  27. Anderson AM, Matsumoto M, Saul MI, et al. Accuracy of skin cancer diagnosis by physician assistants compared with dermatologists in a large health care system. JAMA Dermatol. 2018;154:569-573.
  28. Sung C, Salem S, Oulee A, et al. A systematic review: landscape of private equity in dermatology from past to present. J Drugs Dermatol. 2023 Apr 1;22:404-409. doi: 10.36849/JDD.6892.
  29. CMS releases National Healthcare Expenditure and enrollment projections through 2031. Health Management Associates. July 13, 2023. Accessed October 23, 2025. https://www.healthmanagement.com/blog/cms-releases-national-healthcare-expenditure-and-enrollment-projections-through-2031/
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The Current State of Postgraduate Dermatology Training Programs for Advanced Practice Providers

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The Current State of Postgraduate Dermatology Training Programs for Advanced Practice Providers

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  • Postgraduate dermatology training programs are available for advanced practice providers (APPs), but they are optional and lack a formal accreditation process.
  • Awareness of these programs and the differences between APPs and physician training may help dermatologists provide safe and effective care in collaborative or supervisory roles.
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