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Desmoplastic Melanoma Masquerading as Neurofibroma

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Desmoplastic melanoma (DMM) is a rare variant of melanoma that presents major challenges to both clinicians and pathologists.1 Clinically, the lesions may appear as subtle bland papules, nodules, or plaques. They can be easily mistaken for benign growths, leading to a delayed diagnosis. Consequently, most DMMs at the time of diagnosis tend to be thick, with a mean Breslow depth ranging from 2.0 to 6.5 mm.2 Histopathologic evaluation has its difficulties. At scanning magnification, these tumors may show low cellularity, mimicking a benign proliferation. It is well recognized that S-100 and other tumor markers lack specificity for DMM, which can be positive in a range of neural tumors and other cell types.2 In some amelanotic tumors, DMM becomes virtually indistinguishable from benign peripheral sheath tumors such as neurofribroma.3

Desmoplastic melanoma is exceedingly uncommon in the United States, with an estimated annual incidence rate of 2.0 cases per million.2 Typical locations of presentation include sun-exposed skin, with the head and neck regions representing more than half of reported cases.2 Desmoplastic melanoma largely is a disease of fair-skinned patients, with 95.5% of cases in the United States occurring in white non-Hispanic individuals. Advancing age, male gender, and head and neck location are associated with an increased risk for DMM-specific death.2 It is important that new or changing lesions in the correct cohort and location are biopsied promptly. We present this case to highlight the ongoing challenges of diagnosing DMM both clinically and histologically and to review the salient features of this often benign-appearing tumor.

Case Report

A 51-year-old White man with a history of prostate cancer, a personal and family history of melanoma, and benign neurofibromas presented with a 6-mm, pink, well-demarcated, soft papule on the left lateral neck (Figure 1). The lesion had been stable for many years but began growing more rapidly 1 to 2 years prior to presentation. The lesion was asymptomatic, and he denied changes in color or texture. There also was no bleeding or ulceration. A review of systems was unremarkable. A shave biopsy of the lesion revealed a nodular spindle cell tumor in the dermis resembling a neurofibroma on low power (Figure 2). However, overlying the tumor was a confluent proliferation positive for MART-1 and S-100, which was consistent with a diagnosis of melanoma in situ (Figure 3). Higher-power evaluation of the dermal proliferation showed both bland and hyperchromatic spindled and epithelioid cells (Figure 4), with rare mitotic figures highlighted by PHH3, an uncommon finding in neurofibromas (Figure 5). The dermal spindle cells were positive for S-100 and p75 and negative for Melan-A. Epithelial membrane antigen highlighted a faint sheath surrounding the dermal component. Ki-67 revealed a mildly increased proliferative index in the dermal component. The diagnosis of DMM was made after outside dermatopathology consultation was in agreement. However, the possibility of a melanoma in situ growing in association with an underlying neurofibroma remained a diagnostic consideration histologically. The lesion was widely excised.

Figure 1. A 6-mm, pink, well-demarcated, soft papule on the left lateral neck.
Figure 2. Low-power histologic evaluation revealed a nodular spindle cell tumor in the dermis (H&E, original magnification ×4).
Figure 3. MART-1–positive proliferation overlying the dermal tumor (original magnification ×10).

Figure 4. Many hyperchromatic spindled and epithelioid cells (H&E, original magnification ×20).

Figure 5. PHH3 immunostain highlighted a rare mitotic figure within the dermal proliferation (original magnification ×20).

Comment

Differential for DMM
Early DMMs may not show sufficient cytologic atypia to permit obvious distinction from neurofibromas, which becomes problematic when encountering a spindle cell proliferation within severely sun-damaged skin, or even more so when an intraepidermal population of melanocytes is situated above a dermal population of slender, spindled, S-100–positive cells, as seen in our patient.4 For these challenging scenarios, Yeh and McCalmont4 have proposed evaluating for a CD34 “fingerprint” pattern. This pattern typically is widespread in neurofibroma but absent or limited in DMM, and it is a useful adjunct in the differential diagnosis when conventional immunohistochemistry has little contribution.

There are several case reports in the literature of DMM mimicking other benign or malignant proliferations. In 2012, Jou et al5 described a case of a 62-year-old White man who presented with an oral nodule consistent with fibrous inflammatory hyperplasia clinically. Incisional biopsy later confirmed the diagnosis of amelanotic DMM.5 Similar case reports have been described in which the diagnosis of DMM was later found to resemble a sarcoma and malignant peripheral nerve sheath tumor.6,7

Diagnosis of DMM
The prototypical DMM is an asymmetrical and deeply infiltrative spindle cell lesion in severely sun-damaged skin. By definition, the individual melanocytes are separated by connective tissue components, giving the tumor a paucicellular appearance.1 Although the low cellularity can give a deceptively bland scanning aspect, on high-power examination there usually are identifiable atypical spindled cells with enlarged, elongated, and hyperchromatic nuclei. S-100 typically is diffusely positive in DMM, though occasional cases show more limited staining.8 Other commonly used and more specific markers of melanocytic differentiation, including HMB45 and Melan-A, typically are negative in the paucicellular spindle cell components.9 Desmoplastic melanoma can be further categorized by the degree of fibrosis within a particular tumor. If fibrosis is prominent throughout the entire tumor, it is named pure DMM. On the other hand, fibrosis may only represent a portion of an otherwise nondesmoplastic melanoma, which is known as combined DMM.10

Conclusion

We present this case to highlight the ongoing challenges of diagnosing DMM both clinically and histologically. Although a bland-appearing lesion, key clinical features prompting a biopsy in our patient included recent growth of the lesion, a personal history of melanoma, the patient’s fair skin type, a history of heavy sun exposure, and the location of the lesion. According to Busam,11 an associated melanoma in situ component is identified in 80% to 85% of DMM cases. Detection of a melanoma in situ component associated with a malignant spindle cell tumor can help establish the diagnosis of DMM. In the absence of melanoma in situ, a strong diffuse immunoreactivity for S-100 and lack of epithelial markers support the diagnosis.11 After review of the literature, our case likely represents DMM as opposed to a melanoma in situ developing within a neurofibroma.

References
  1. Wood BA. Desmoplastic melanoma: recent advances and persisting challenges. Pathology. 2013;45:453-463.
  2. Chen LL, Jaimes N, Barker CA, et al. Desmoplastic melanoma: a review. J Am Acad Dermatol. 2013;68:825-833.
  3. Machado I, Llombart B, Cruz J, et al. Desmoplastic melanoma may mimic a cutaneous peripheral nerve sheath tumor: report of 3 challenging cases. J Cutan Pathol. 2017;4:632-638.
  4. Yeh I, McCalmont, TH. Distinguishing neurofibroma from desmoplastic melanoma: the value of the CD34 fingerprint. J Cutan Pathol. 2011;38:625-630.
  5. Jou A, Miranda FV, Oliveira MG, et al. Oral desmoplastic melanoma mimicking inflammatory hyperplasia. Gerodontology. 2012;29:E1163-E1167.
  6. Ishikura H, Kojo T, Ichimura H, et al. Desmoplastic malignant melanoma of the uterine cervix: a rare primary malignancy in the uterus mimicking a sarcoma. Histopathology. 1998;33:93-94. 
  7. Barnett SL, Wells MJ, Mickey B, et al. Perineural extension of cutaneous desmoplastic melanoma mimicking an intracranial malignant peripheral nerve sheath tumor. case report. J Neurosurg. 2011;115:273-277.
  8. Jain S, Allen PW. Desmoplastic malignant melanoma and its variants. a study of 45 cases. Am J Surg Pathol. 1989;13:358-373.
  9. Skelton HG, Maceira J, Smith KJ, et al. HMB45 negative spindle cell malignant melanoma. Am J Dermatopathol. 1997;19:580-584.
  10. George E, McClain SE, Slingluff CL, et al. Subclassification of desmoplastic melanoma: pure and mixed variants have significantly different capacities for lymph node metastasis. J Cutan Pathol. 2009;36:425-432.
  11. Busam KJ. Desmoplastic melanoma. Clin Lab Med. 2011;31:321-330.
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Drs. Stokar and Feldman are from the Division of Dermatology, John H. Stroger, Jr. Hospital of Cook County, Chicago, Illinois. Dr. Rodriguez is from Arrowhead Dermatology, Phoenix, Arizona.

The authors report no conflict of interest. Correspondence: Evan Stokar, MD, 1900 W Polk St, Room 519, Chicago, IL 60612 (evan.stokar@gmail.com).

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Drs. Stokar and Feldman are from the Division of Dermatology, John H. Stroger, Jr. Hospital of Cook County, Chicago, Illinois. Dr. Rodriguez is from Arrowhead Dermatology, Phoenix, Arizona.

The authors report no conflict of interest. Correspondence: Evan Stokar, MD, 1900 W Polk St, Room 519, Chicago, IL 60612 (evan.stokar@gmail.com).

Author and Disclosure Information

Drs. Stokar and Feldman are from the Division of Dermatology, John H. Stroger, Jr. Hospital of Cook County, Chicago, Illinois. Dr. Rodriguez is from Arrowhead Dermatology, Phoenix, Arizona.

The authors report no conflict of interest. Correspondence: Evan Stokar, MD, 1900 W Polk St, Room 519, Chicago, IL 60612 (evan.stokar@gmail.com).

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Desmoplastic melanoma (DMM) is a rare variant of melanoma that presents major challenges to both clinicians and pathologists.1 Clinically, the lesions may appear as subtle bland papules, nodules, or plaques. They can be easily mistaken for benign growths, leading to a delayed diagnosis. Consequently, most DMMs at the time of diagnosis tend to be thick, with a mean Breslow depth ranging from 2.0 to 6.5 mm.2 Histopathologic evaluation has its difficulties. At scanning magnification, these tumors may show low cellularity, mimicking a benign proliferation. It is well recognized that S-100 and other tumor markers lack specificity for DMM, which can be positive in a range of neural tumors and other cell types.2 In some amelanotic tumors, DMM becomes virtually indistinguishable from benign peripheral sheath tumors such as neurofribroma.3

Desmoplastic melanoma is exceedingly uncommon in the United States, with an estimated annual incidence rate of 2.0 cases per million.2 Typical locations of presentation include sun-exposed skin, with the head and neck regions representing more than half of reported cases.2 Desmoplastic melanoma largely is a disease of fair-skinned patients, with 95.5% of cases in the United States occurring in white non-Hispanic individuals. Advancing age, male gender, and head and neck location are associated with an increased risk for DMM-specific death.2 It is important that new or changing lesions in the correct cohort and location are biopsied promptly. We present this case to highlight the ongoing challenges of diagnosing DMM both clinically and histologically and to review the salient features of this often benign-appearing tumor.

Case Report

A 51-year-old White man with a history of prostate cancer, a personal and family history of melanoma, and benign neurofibromas presented with a 6-mm, pink, well-demarcated, soft papule on the left lateral neck (Figure 1). The lesion had been stable for many years but began growing more rapidly 1 to 2 years prior to presentation. The lesion was asymptomatic, and he denied changes in color or texture. There also was no bleeding or ulceration. A review of systems was unremarkable. A shave biopsy of the lesion revealed a nodular spindle cell tumor in the dermis resembling a neurofibroma on low power (Figure 2). However, overlying the tumor was a confluent proliferation positive for MART-1 and S-100, which was consistent with a diagnosis of melanoma in situ (Figure 3). Higher-power evaluation of the dermal proliferation showed both bland and hyperchromatic spindled and epithelioid cells (Figure 4), with rare mitotic figures highlighted by PHH3, an uncommon finding in neurofibromas (Figure 5). The dermal spindle cells were positive for S-100 and p75 and negative for Melan-A. Epithelial membrane antigen highlighted a faint sheath surrounding the dermal component. Ki-67 revealed a mildly increased proliferative index in the dermal component. The diagnosis of DMM was made after outside dermatopathology consultation was in agreement. However, the possibility of a melanoma in situ growing in association with an underlying neurofibroma remained a diagnostic consideration histologically. The lesion was widely excised.

Figure 1. A 6-mm, pink, well-demarcated, soft papule on the left lateral neck.
Figure 2. Low-power histologic evaluation revealed a nodular spindle cell tumor in the dermis (H&E, original magnification ×4).
Figure 3. MART-1–positive proliferation overlying the dermal tumor (original magnification ×10).

Figure 4. Many hyperchromatic spindled and epithelioid cells (H&E, original magnification ×20).

Figure 5. PHH3 immunostain highlighted a rare mitotic figure within the dermal proliferation (original magnification ×20).

Comment

Differential for DMM
Early DMMs may not show sufficient cytologic atypia to permit obvious distinction from neurofibromas, which becomes problematic when encountering a spindle cell proliferation within severely sun-damaged skin, or even more so when an intraepidermal population of melanocytes is situated above a dermal population of slender, spindled, S-100–positive cells, as seen in our patient.4 For these challenging scenarios, Yeh and McCalmont4 have proposed evaluating for a CD34 “fingerprint” pattern. This pattern typically is widespread in neurofibroma but absent or limited in DMM, and it is a useful adjunct in the differential diagnosis when conventional immunohistochemistry has little contribution.

There are several case reports in the literature of DMM mimicking other benign or malignant proliferations. In 2012, Jou et al5 described a case of a 62-year-old White man who presented with an oral nodule consistent with fibrous inflammatory hyperplasia clinically. Incisional biopsy later confirmed the diagnosis of amelanotic DMM.5 Similar case reports have been described in which the diagnosis of DMM was later found to resemble a sarcoma and malignant peripheral nerve sheath tumor.6,7

Diagnosis of DMM
The prototypical DMM is an asymmetrical and deeply infiltrative spindle cell lesion in severely sun-damaged skin. By definition, the individual melanocytes are separated by connective tissue components, giving the tumor a paucicellular appearance.1 Although the low cellularity can give a deceptively bland scanning aspect, on high-power examination there usually are identifiable atypical spindled cells with enlarged, elongated, and hyperchromatic nuclei. S-100 typically is diffusely positive in DMM, though occasional cases show more limited staining.8 Other commonly used and more specific markers of melanocytic differentiation, including HMB45 and Melan-A, typically are negative in the paucicellular spindle cell components.9 Desmoplastic melanoma can be further categorized by the degree of fibrosis within a particular tumor. If fibrosis is prominent throughout the entire tumor, it is named pure DMM. On the other hand, fibrosis may only represent a portion of an otherwise nondesmoplastic melanoma, which is known as combined DMM.10

Conclusion

We present this case to highlight the ongoing challenges of diagnosing DMM both clinically and histologically. Although a bland-appearing lesion, key clinical features prompting a biopsy in our patient included recent growth of the lesion, a personal history of melanoma, the patient’s fair skin type, a history of heavy sun exposure, and the location of the lesion. According to Busam,11 an associated melanoma in situ component is identified in 80% to 85% of DMM cases. Detection of a melanoma in situ component associated with a malignant spindle cell tumor can help establish the diagnosis of DMM. In the absence of melanoma in situ, a strong diffuse immunoreactivity for S-100 and lack of epithelial markers support the diagnosis.11 After review of the literature, our case likely represents DMM as opposed to a melanoma in situ developing within a neurofibroma.

Desmoplastic melanoma (DMM) is a rare variant of melanoma that presents major challenges to both clinicians and pathologists.1 Clinically, the lesions may appear as subtle bland papules, nodules, or plaques. They can be easily mistaken for benign growths, leading to a delayed diagnosis. Consequently, most DMMs at the time of diagnosis tend to be thick, with a mean Breslow depth ranging from 2.0 to 6.5 mm.2 Histopathologic evaluation has its difficulties. At scanning magnification, these tumors may show low cellularity, mimicking a benign proliferation. It is well recognized that S-100 and other tumor markers lack specificity for DMM, which can be positive in a range of neural tumors and other cell types.2 In some amelanotic tumors, DMM becomes virtually indistinguishable from benign peripheral sheath tumors such as neurofribroma.3

Desmoplastic melanoma is exceedingly uncommon in the United States, with an estimated annual incidence rate of 2.0 cases per million.2 Typical locations of presentation include sun-exposed skin, with the head and neck regions representing more than half of reported cases.2 Desmoplastic melanoma largely is a disease of fair-skinned patients, with 95.5% of cases in the United States occurring in white non-Hispanic individuals. Advancing age, male gender, and head and neck location are associated with an increased risk for DMM-specific death.2 It is important that new or changing lesions in the correct cohort and location are biopsied promptly. We present this case to highlight the ongoing challenges of diagnosing DMM both clinically and histologically and to review the salient features of this often benign-appearing tumor.

Case Report

A 51-year-old White man with a history of prostate cancer, a personal and family history of melanoma, and benign neurofibromas presented with a 6-mm, pink, well-demarcated, soft papule on the left lateral neck (Figure 1). The lesion had been stable for many years but began growing more rapidly 1 to 2 years prior to presentation. The lesion was asymptomatic, and he denied changes in color or texture. There also was no bleeding or ulceration. A review of systems was unremarkable. A shave biopsy of the lesion revealed a nodular spindle cell tumor in the dermis resembling a neurofibroma on low power (Figure 2). However, overlying the tumor was a confluent proliferation positive for MART-1 and S-100, which was consistent with a diagnosis of melanoma in situ (Figure 3). Higher-power evaluation of the dermal proliferation showed both bland and hyperchromatic spindled and epithelioid cells (Figure 4), with rare mitotic figures highlighted by PHH3, an uncommon finding in neurofibromas (Figure 5). The dermal spindle cells were positive for S-100 and p75 and negative for Melan-A. Epithelial membrane antigen highlighted a faint sheath surrounding the dermal component. Ki-67 revealed a mildly increased proliferative index in the dermal component. The diagnosis of DMM was made after outside dermatopathology consultation was in agreement. However, the possibility of a melanoma in situ growing in association with an underlying neurofibroma remained a diagnostic consideration histologically. The lesion was widely excised.

Figure 1. A 6-mm, pink, well-demarcated, soft papule on the left lateral neck.
Figure 2. Low-power histologic evaluation revealed a nodular spindle cell tumor in the dermis (H&E, original magnification ×4).
Figure 3. MART-1–positive proliferation overlying the dermal tumor (original magnification ×10).

Figure 4. Many hyperchromatic spindled and epithelioid cells (H&E, original magnification ×20).

Figure 5. PHH3 immunostain highlighted a rare mitotic figure within the dermal proliferation (original magnification ×20).

Comment

Differential for DMM
Early DMMs may not show sufficient cytologic atypia to permit obvious distinction from neurofibromas, which becomes problematic when encountering a spindle cell proliferation within severely sun-damaged skin, or even more so when an intraepidermal population of melanocytes is situated above a dermal population of slender, spindled, S-100–positive cells, as seen in our patient.4 For these challenging scenarios, Yeh and McCalmont4 have proposed evaluating for a CD34 “fingerprint” pattern. This pattern typically is widespread in neurofibroma but absent or limited in DMM, and it is a useful adjunct in the differential diagnosis when conventional immunohistochemistry has little contribution.

There are several case reports in the literature of DMM mimicking other benign or malignant proliferations. In 2012, Jou et al5 described a case of a 62-year-old White man who presented with an oral nodule consistent with fibrous inflammatory hyperplasia clinically. Incisional biopsy later confirmed the diagnosis of amelanotic DMM.5 Similar case reports have been described in which the diagnosis of DMM was later found to resemble a sarcoma and malignant peripheral nerve sheath tumor.6,7

Diagnosis of DMM
The prototypical DMM is an asymmetrical and deeply infiltrative spindle cell lesion in severely sun-damaged skin. By definition, the individual melanocytes are separated by connective tissue components, giving the tumor a paucicellular appearance.1 Although the low cellularity can give a deceptively bland scanning aspect, on high-power examination there usually are identifiable atypical spindled cells with enlarged, elongated, and hyperchromatic nuclei. S-100 typically is diffusely positive in DMM, though occasional cases show more limited staining.8 Other commonly used and more specific markers of melanocytic differentiation, including HMB45 and Melan-A, typically are negative in the paucicellular spindle cell components.9 Desmoplastic melanoma can be further categorized by the degree of fibrosis within a particular tumor. If fibrosis is prominent throughout the entire tumor, it is named pure DMM. On the other hand, fibrosis may only represent a portion of an otherwise nondesmoplastic melanoma, which is known as combined DMM.10

Conclusion

We present this case to highlight the ongoing challenges of diagnosing DMM both clinically and histologically. Although a bland-appearing lesion, key clinical features prompting a biopsy in our patient included recent growth of the lesion, a personal history of melanoma, the patient’s fair skin type, a history of heavy sun exposure, and the location of the lesion. According to Busam,11 an associated melanoma in situ component is identified in 80% to 85% of DMM cases. Detection of a melanoma in situ component associated with a malignant spindle cell tumor can help establish the diagnosis of DMM. In the absence of melanoma in situ, a strong diffuse immunoreactivity for S-100 and lack of epithelial markers support the diagnosis.11 After review of the literature, our case likely represents DMM as opposed to a melanoma in situ developing within a neurofibroma.

References
  1. Wood BA. Desmoplastic melanoma: recent advances and persisting challenges. Pathology. 2013;45:453-463.
  2. Chen LL, Jaimes N, Barker CA, et al. Desmoplastic melanoma: a review. J Am Acad Dermatol. 2013;68:825-833.
  3. Machado I, Llombart B, Cruz J, et al. Desmoplastic melanoma may mimic a cutaneous peripheral nerve sheath tumor: report of 3 challenging cases. J Cutan Pathol. 2017;4:632-638.
  4. Yeh I, McCalmont, TH. Distinguishing neurofibroma from desmoplastic melanoma: the value of the CD34 fingerprint. J Cutan Pathol. 2011;38:625-630.
  5. Jou A, Miranda FV, Oliveira MG, et al. Oral desmoplastic melanoma mimicking inflammatory hyperplasia. Gerodontology. 2012;29:E1163-E1167.
  6. Ishikura H, Kojo T, Ichimura H, et al. Desmoplastic malignant melanoma of the uterine cervix: a rare primary malignancy in the uterus mimicking a sarcoma. Histopathology. 1998;33:93-94. 
  7. Barnett SL, Wells MJ, Mickey B, et al. Perineural extension of cutaneous desmoplastic melanoma mimicking an intracranial malignant peripheral nerve sheath tumor. case report. J Neurosurg. 2011;115:273-277.
  8. Jain S, Allen PW. Desmoplastic malignant melanoma and its variants. a study of 45 cases. Am J Surg Pathol. 1989;13:358-373.
  9. Skelton HG, Maceira J, Smith KJ, et al. HMB45 negative spindle cell malignant melanoma. Am J Dermatopathol. 1997;19:580-584.
  10. George E, McClain SE, Slingluff CL, et al. Subclassification of desmoplastic melanoma: pure and mixed variants have significantly different capacities for lymph node metastasis. J Cutan Pathol. 2009;36:425-432.
  11. Busam KJ. Desmoplastic melanoma. Clin Lab Med. 2011;31:321-330.
References
  1. Wood BA. Desmoplastic melanoma: recent advances and persisting challenges. Pathology. 2013;45:453-463.
  2. Chen LL, Jaimes N, Barker CA, et al. Desmoplastic melanoma: a review. J Am Acad Dermatol. 2013;68:825-833.
  3. Machado I, Llombart B, Cruz J, et al. Desmoplastic melanoma may mimic a cutaneous peripheral nerve sheath tumor: report of 3 challenging cases. J Cutan Pathol. 2017;4:632-638.
  4. Yeh I, McCalmont, TH. Distinguishing neurofibroma from desmoplastic melanoma: the value of the CD34 fingerprint. J Cutan Pathol. 2011;38:625-630.
  5. Jou A, Miranda FV, Oliveira MG, et al. Oral desmoplastic melanoma mimicking inflammatory hyperplasia. Gerodontology. 2012;29:E1163-E1167.
  6. Ishikura H, Kojo T, Ichimura H, et al. Desmoplastic malignant melanoma of the uterine cervix: a rare primary malignancy in the uterus mimicking a sarcoma. Histopathology. 1998;33:93-94. 
  7. Barnett SL, Wells MJ, Mickey B, et al. Perineural extension of cutaneous desmoplastic melanoma mimicking an intracranial malignant peripheral nerve sheath tumor. case report. J Neurosurg. 2011;115:273-277.
  8. Jain S, Allen PW. Desmoplastic malignant melanoma and its variants. a study of 45 cases. Am J Surg Pathol. 1989;13:358-373.
  9. Skelton HG, Maceira J, Smith KJ, et al. HMB45 negative spindle cell malignant melanoma. Am J Dermatopathol. 1997;19:580-584.
  10. George E, McClain SE, Slingluff CL, et al. Subclassification of desmoplastic melanoma: pure and mixed variants have significantly different capacities for lymph node metastasis. J Cutan Pathol. 2009;36:425-432.
  11. Busam KJ. Desmoplastic melanoma. Clin Lab Med. 2011;31:321-330.
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Practice Points

  • Desmoplastic melanoma remains a diagnostic challenge both clinically and histologically.
  • New or changing lesions on sun-exposed sites of elderly patients with fair skin types should have a low threshold for biopsy.
  • Consensus between more than one dermatopathologist is sometimes required to make the diagnosis histologically.
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Mohs Micrographic Surgery During the COVID-19 Pandemic: Considering the Patient Perspective

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Guidelines on Skin Cancer Surgeries During the COVID-19 Pandemic

At the start of the COVID-19 pandemic, the Centers for Disease Control and Prevention issued recommendations to decrease the spread of SARS-CoV-2 and optimize the use of personal protective equipment (PPE) for frontline workers.1 In the field of dermatologic surgery, the American College of Mohs Surgery, the National Comprehensive Cancer Network, the American Society for Dermatologic Surgery, and the American Academy of Dermatology made recommendations to postpone nonessential and nonurgent procedures.2-4 The initial guidelines of the American College of Mohs Surgery advised cancellation of all elective surgeries and deferred treatment of most cases of basal cell carcinoma for as long as 3 months; low-risk squamous cell carcinoma (SCC) and melanoma in situ treatment was deferred for as long as 2 or 3 months.3 Additional recommendations were made to reserve inpatient visits for suspicious lesions and high-risk cancers, postpone other nonessential and nonurgent appointments, and utilize telemedicine whenever possible.5

These recommendations led to great uncertainty and stress for patients and providers. Although numerous important variables, such as patient risk factors, severity of disease, availability of PPE and staff, and patient-to-provider transmission were considered when creating these guidelines, the patient’s experience likely was not a contributing factor.

COVID-19 Transmission During Mohs Surgery

There have been concerns that surgeons performing Mohs micrographic surgery (MMS) might be at an increased risk for COVID-19, given their close contact with high-risk sites (ie, nose, mouth) and cautery-generated aerosols; most of the estimated transmission risk associated with MMS has been based on head and neck surgery experience and publications.6-8 Tee and colleagues9 recently published their institution’s MMS COVID-19 preventive measures, which, to their knowledge, have prevented all intraoperative transmission of SARS-CoV-2, even in disease-positive patients. Currently, evidence is lacking to support a high risk for SARS-CoV-2 transmission during MMS when proper PPE and personal hygiene measures as well as strict infection control protocols—presurgical COVID-19 testing in high-risk cases, COVID-19 screening optimization, visitor restrictions, and appropriate disinfection between patients—are in place.

The Impact of Postponing Treatment on Patients

Although studies have focused on the effects of the COVID-19 pandemic on physicians practicing MMS,10 little is known about the effects of delays in skin cancer treatment on patients. A survey conducted in the United Kingdom investigating the patient’s perspective found that patients expressed worry and concern about the possibility that their MMS would be postponed and greatly appreciated continuation of treatment during the pandemic.11

Other medical specialties have reported their patient experiences during the pandemic. In a study examining patient perception of postponed surgical treatment of pelvic floor disorders due to COVID-19, nearly half of survey respondents were unhappy with the delay in receiving care. Furthermore, patients who reported being unhappy were more likely to report feelings of isolation and anxiety because their surgery was postponed.12 In another study involving patients with lung cancer, 9.1% (N=15) of patients postponed their treatment during the COVID-19 pandemic because of pandemic-related anxiety.13

With the goal of improving care at our institution, we conducted a brief institutional review board–approved survey to evaluate how postponing MMS treatment due to the COVID-19 pandemic affected patients. All MMS patients undergoing surgery in June 2020 and July 2020 (N=99) were asked to complete our voluntary and anonymous 23-question survey in person during their procedure. We obtained 88 responses (response rate, 89%). Twenty percent of surveyed patients (n=18) reported that their MMS had been postponed; 78% of those whose MMS was postponed (n=14) indicated some level of anxiety during the waiting period. It was unclear which patients had their treatment postponed based on national guidelines and which ones elected to postpone surgery.

Tips for Health Care Providers

Patient-provider communication highlighting specific skin cancer risk and the risk vs benefit of postponing treatment might reduce anxiety and stress during the waiting period.14 A study found that COVID-19 posed a bigger threat than most noninvasive skin cancers; therefore, the authors of that study concluded that treatment for most skin cancers could be safely postponed.15 Specifically, those authors recommended prioritizing treatment for Merkel cell carcinoma, invasive SCC, and melanoma with positive margins or macroscopic residual disease. They proposed that all other skin cancers, including basal cell carcinoma, SCC in situ, and melanoma with negative margins and no macroscopic residual disease, could be safely delayed for as long as 3 months.15

For patients with multiple risk factors for COVID-19–related morbidity or mortality, delaying skin cancer treatment likely has less risk than contracting the virus.15 This information should be communicated with patients. Investigation of specific patient concerns is warranted, and case-by-case evaluation of patients’ risk factors and skin cancer risk should be considered.



Based on the current, though limited, literature, delaying medical treatment can have a negative impact on the patient experience. Furthermore, proper precautions have been shown to limit intraoperative transmission of SARS-CoV-2 during MMS, but research is lacking. Practitioners should utilize shared decision-making and evaluate a given patient’s risk factors and concerns when deciding whether to postpone treatment. We encourage other institutions to evaluate the effects that delaying MMS has had on their patients, as further studies would improve understanding of patients’ experiences during a pandemic and potentially influence future dermatology guidelines.

References
  1. Center for Disease Control and Prevention. COVID-19. Accessed April 20, 2021. https://www.cdc.gov/coronavirus/2019-ncov/index.html
  2. American College of Mohs Surgery. Mohs surgery ambulatory protocol during COVID pandemic (version 6-3-20). June 4, 2020. Accessed April 20, 2021. http://staging.mohscollege.org/UserFiles/AM20/Member%20Alert/MohsSurgeryAmbulatoryProtocolDuringCOVIDPandemicFinal.pdf
  3. COVID-19 resources. National Comprehensive Cancer Network website. Accessed April 20, 2021. https://www.nccn.org/covid-19
  4. Narla S, Alam M, Ozog DM, et al. American Society of Dermatologic Surgery Association (ASDSA) and American Society for Laser Medicine & Surgery (ASLMS) guidance for cosmetic dermatology practices during COVID-19. Updated January 11, 2021. Accessed April 10, 2021. https://www.asds.net/Portals/0/PDF/asdsa/asdsa-aslms-cosmetic-reopening-guidance.pdf
  5. Geskin LJ, Trager MH, Aasi SZ, et al. Perspectives on the recommendations for skin cancer management during the COVID-19 pandemic.J Am Acad Dermatol. 2020;83:295-296. doi:10.1016/j.jaad.2020.05.002
  6. Yuan JT, Jiang SIB. Urgent safety considerations for dermatologic surgeons in the COVID-19 pandemic. Dermatol Online J. 2020;26:1. Accessed April 20, 2021. http://escholarship.org/uc/item/2qr3w771
  7. Otolaryngologists may contract COVID-19 during surgery. ENTtoday. March 20, 2020. Accessed April 20, 2021. https://www.enttoday.org/article/otolaryngologists-may-contract-covid-19-during-surgery/
  8. Howard BE. High-risk aerosol-generating procedures in COVID-19: respiratory protective equipment considerations. Otolaryngol Head Neck Surg. 2020;163:98-103. doi:10.1177/0194599820927335
  9. Tee MW, Stewart C, Aliessa S, et al. Dermatological surgery during the COVID-19 pandemic: experience of a large academic center. J Am Acad Dermatol. 2021;84:1094-1096. doi:10.1016/j.jaad.2020.12.003
  10. Hooper J, Feng H. The impact of COVID-19 on micrographic surgery and dermatologic oncology fellows. Dermatol Surg. 2020;46:1762-1763. doi:10.1097/DSS.0000000000002766
  11. Nicholson P, Ali FR, Patalay R, et al. Patient perceptions of Mohs micrographic surgery during the COVID-19 pandemic and lessons for the next outbreak. Clin Exp Dermatol. 2021;46:179-180. doi:10.1111/ced.14423
  12. Mou T, Brown O, Gillingham A, et al. Patients’ perceptions on surgical care suspension for pelvic floor disorders during the COVID-19 pandemic. Female Pelvic Med Reconstr Surg. 2020;26:477-482. doi:10.1097/SPV.0000000000000918
  13. Fujita K, Ito T, Saito Z, et al. Impact of COVID-19 pandemic on lung cancer treatment scheduling. Thorac Cancer. 2020;11:2983-2986. doi:10.1111/1759-7714.13615
  14. Nikumb VB, Banerjee A, Kaur G, et al. Impact of doctor-patient communication on preoperative anxiety: study at industrial township, Pimpri, Pune. Ind Psychiatry J. 2009;18:19-21. doi:10.4103/0972-6748.57852
  15. Baumann BC, MacArthur KM, Brewer JD, et al. Management of primary skin cancer during a pandemic: multidisciplinary recommendations. Cancer. 2020;126:3900-3906. doi:10.1002/cncr.32969
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From the Department of Dermatology, University of New Mexico School of Medicine, Albuquerque.

The authors report no conflict of interest.

Correspondence: Naiara S. Barbosa, MD, Department of Dermatology, University of New Mexico School of Medicine, 1021 Medical Arts Ave NE, Albuquerque, NM 87102 (nbarbosa@salud.unm.edu).

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From the Department of Dermatology, University of New Mexico School of Medicine, Albuquerque.

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Guidelines on Skin Cancer Surgeries During the COVID-19 Pandemic

At the start of the COVID-19 pandemic, the Centers for Disease Control and Prevention issued recommendations to decrease the spread of SARS-CoV-2 and optimize the use of personal protective equipment (PPE) for frontline workers.1 In the field of dermatologic surgery, the American College of Mohs Surgery, the National Comprehensive Cancer Network, the American Society for Dermatologic Surgery, and the American Academy of Dermatology made recommendations to postpone nonessential and nonurgent procedures.2-4 The initial guidelines of the American College of Mohs Surgery advised cancellation of all elective surgeries and deferred treatment of most cases of basal cell carcinoma for as long as 3 months; low-risk squamous cell carcinoma (SCC) and melanoma in situ treatment was deferred for as long as 2 or 3 months.3 Additional recommendations were made to reserve inpatient visits for suspicious lesions and high-risk cancers, postpone other nonessential and nonurgent appointments, and utilize telemedicine whenever possible.5

These recommendations led to great uncertainty and stress for patients and providers. Although numerous important variables, such as patient risk factors, severity of disease, availability of PPE and staff, and patient-to-provider transmission were considered when creating these guidelines, the patient’s experience likely was not a contributing factor.

COVID-19 Transmission During Mohs Surgery

There have been concerns that surgeons performing Mohs micrographic surgery (MMS) might be at an increased risk for COVID-19, given their close contact with high-risk sites (ie, nose, mouth) and cautery-generated aerosols; most of the estimated transmission risk associated with MMS has been based on head and neck surgery experience and publications.6-8 Tee and colleagues9 recently published their institution’s MMS COVID-19 preventive measures, which, to their knowledge, have prevented all intraoperative transmission of SARS-CoV-2, even in disease-positive patients. Currently, evidence is lacking to support a high risk for SARS-CoV-2 transmission during MMS when proper PPE and personal hygiene measures as well as strict infection control protocols—presurgical COVID-19 testing in high-risk cases, COVID-19 screening optimization, visitor restrictions, and appropriate disinfection between patients—are in place.

The Impact of Postponing Treatment on Patients

Although studies have focused on the effects of the COVID-19 pandemic on physicians practicing MMS,10 little is known about the effects of delays in skin cancer treatment on patients. A survey conducted in the United Kingdom investigating the patient’s perspective found that patients expressed worry and concern about the possibility that their MMS would be postponed and greatly appreciated continuation of treatment during the pandemic.11

Other medical specialties have reported their patient experiences during the pandemic. In a study examining patient perception of postponed surgical treatment of pelvic floor disorders due to COVID-19, nearly half of survey respondents were unhappy with the delay in receiving care. Furthermore, patients who reported being unhappy were more likely to report feelings of isolation and anxiety because their surgery was postponed.12 In another study involving patients with lung cancer, 9.1% (N=15) of patients postponed their treatment during the COVID-19 pandemic because of pandemic-related anxiety.13

With the goal of improving care at our institution, we conducted a brief institutional review board–approved survey to evaluate how postponing MMS treatment due to the COVID-19 pandemic affected patients. All MMS patients undergoing surgery in June 2020 and July 2020 (N=99) were asked to complete our voluntary and anonymous 23-question survey in person during their procedure. We obtained 88 responses (response rate, 89%). Twenty percent of surveyed patients (n=18) reported that their MMS had been postponed; 78% of those whose MMS was postponed (n=14) indicated some level of anxiety during the waiting period. It was unclear which patients had their treatment postponed based on national guidelines and which ones elected to postpone surgery.

Tips for Health Care Providers

Patient-provider communication highlighting specific skin cancer risk and the risk vs benefit of postponing treatment might reduce anxiety and stress during the waiting period.14 A study found that COVID-19 posed a bigger threat than most noninvasive skin cancers; therefore, the authors of that study concluded that treatment for most skin cancers could be safely postponed.15 Specifically, those authors recommended prioritizing treatment for Merkel cell carcinoma, invasive SCC, and melanoma with positive margins or macroscopic residual disease. They proposed that all other skin cancers, including basal cell carcinoma, SCC in situ, and melanoma with negative margins and no macroscopic residual disease, could be safely delayed for as long as 3 months.15

For patients with multiple risk factors for COVID-19–related morbidity or mortality, delaying skin cancer treatment likely has less risk than contracting the virus.15 This information should be communicated with patients. Investigation of specific patient concerns is warranted, and case-by-case evaluation of patients’ risk factors and skin cancer risk should be considered.



Based on the current, though limited, literature, delaying medical treatment can have a negative impact on the patient experience. Furthermore, proper precautions have been shown to limit intraoperative transmission of SARS-CoV-2 during MMS, but research is lacking. Practitioners should utilize shared decision-making and evaluate a given patient’s risk factors and concerns when deciding whether to postpone treatment. We encourage other institutions to evaluate the effects that delaying MMS has had on their patients, as further studies would improve understanding of patients’ experiences during a pandemic and potentially influence future dermatology guidelines.

 

Guidelines on Skin Cancer Surgeries During the COVID-19 Pandemic

At the start of the COVID-19 pandemic, the Centers for Disease Control and Prevention issued recommendations to decrease the spread of SARS-CoV-2 and optimize the use of personal protective equipment (PPE) for frontline workers.1 In the field of dermatologic surgery, the American College of Mohs Surgery, the National Comprehensive Cancer Network, the American Society for Dermatologic Surgery, and the American Academy of Dermatology made recommendations to postpone nonessential and nonurgent procedures.2-4 The initial guidelines of the American College of Mohs Surgery advised cancellation of all elective surgeries and deferred treatment of most cases of basal cell carcinoma for as long as 3 months; low-risk squamous cell carcinoma (SCC) and melanoma in situ treatment was deferred for as long as 2 or 3 months.3 Additional recommendations were made to reserve inpatient visits for suspicious lesions and high-risk cancers, postpone other nonessential and nonurgent appointments, and utilize telemedicine whenever possible.5

These recommendations led to great uncertainty and stress for patients and providers. Although numerous important variables, such as patient risk factors, severity of disease, availability of PPE and staff, and patient-to-provider transmission were considered when creating these guidelines, the patient’s experience likely was not a contributing factor.

COVID-19 Transmission During Mohs Surgery

There have been concerns that surgeons performing Mohs micrographic surgery (MMS) might be at an increased risk for COVID-19, given their close contact with high-risk sites (ie, nose, mouth) and cautery-generated aerosols; most of the estimated transmission risk associated with MMS has been based on head and neck surgery experience and publications.6-8 Tee and colleagues9 recently published their institution’s MMS COVID-19 preventive measures, which, to their knowledge, have prevented all intraoperative transmission of SARS-CoV-2, even in disease-positive patients. Currently, evidence is lacking to support a high risk for SARS-CoV-2 transmission during MMS when proper PPE and personal hygiene measures as well as strict infection control protocols—presurgical COVID-19 testing in high-risk cases, COVID-19 screening optimization, visitor restrictions, and appropriate disinfection between patients—are in place.

The Impact of Postponing Treatment on Patients

Although studies have focused on the effects of the COVID-19 pandemic on physicians practicing MMS,10 little is known about the effects of delays in skin cancer treatment on patients. A survey conducted in the United Kingdom investigating the patient’s perspective found that patients expressed worry and concern about the possibility that their MMS would be postponed and greatly appreciated continuation of treatment during the pandemic.11

Other medical specialties have reported their patient experiences during the pandemic. In a study examining patient perception of postponed surgical treatment of pelvic floor disorders due to COVID-19, nearly half of survey respondents were unhappy with the delay in receiving care. Furthermore, patients who reported being unhappy were more likely to report feelings of isolation and anxiety because their surgery was postponed.12 In another study involving patients with lung cancer, 9.1% (N=15) of patients postponed their treatment during the COVID-19 pandemic because of pandemic-related anxiety.13

With the goal of improving care at our institution, we conducted a brief institutional review board–approved survey to evaluate how postponing MMS treatment due to the COVID-19 pandemic affected patients. All MMS patients undergoing surgery in June 2020 and July 2020 (N=99) were asked to complete our voluntary and anonymous 23-question survey in person during their procedure. We obtained 88 responses (response rate, 89%). Twenty percent of surveyed patients (n=18) reported that their MMS had been postponed; 78% of those whose MMS was postponed (n=14) indicated some level of anxiety during the waiting period. It was unclear which patients had their treatment postponed based on national guidelines and which ones elected to postpone surgery.

Tips for Health Care Providers

Patient-provider communication highlighting specific skin cancer risk and the risk vs benefit of postponing treatment might reduce anxiety and stress during the waiting period.14 A study found that COVID-19 posed a bigger threat than most noninvasive skin cancers; therefore, the authors of that study concluded that treatment for most skin cancers could be safely postponed.15 Specifically, those authors recommended prioritizing treatment for Merkel cell carcinoma, invasive SCC, and melanoma with positive margins or macroscopic residual disease. They proposed that all other skin cancers, including basal cell carcinoma, SCC in situ, and melanoma with negative margins and no macroscopic residual disease, could be safely delayed for as long as 3 months.15

For patients with multiple risk factors for COVID-19–related morbidity or mortality, delaying skin cancer treatment likely has less risk than contracting the virus.15 This information should be communicated with patients. Investigation of specific patient concerns is warranted, and case-by-case evaluation of patients’ risk factors and skin cancer risk should be considered.



Based on the current, though limited, literature, delaying medical treatment can have a negative impact on the patient experience. Furthermore, proper precautions have been shown to limit intraoperative transmission of SARS-CoV-2 during MMS, but research is lacking. Practitioners should utilize shared decision-making and evaluate a given patient’s risk factors and concerns when deciding whether to postpone treatment. We encourage other institutions to evaluate the effects that delaying MMS has had on their patients, as further studies would improve understanding of patients’ experiences during a pandemic and potentially influence future dermatology guidelines.

References
  1. Center for Disease Control and Prevention. COVID-19. Accessed April 20, 2021. https://www.cdc.gov/coronavirus/2019-ncov/index.html
  2. American College of Mohs Surgery. Mohs surgery ambulatory protocol during COVID pandemic (version 6-3-20). June 4, 2020. Accessed April 20, 2021. http://staging.mohscollege.org/UserFiles/AM20/Member%20Alert/MohsSurgeryAmbulatoryProtocolDuringCOVIDPandemicFinal.pdf
  3. COVID-19 resources. National Comprehensive Cancer Network website. Accessed April 20, 2021. https://www.nccn.org/covid-19
  4. Narla S, Alam M, Ozog DM, et al. American Society of Dermatologic Surgery Association (ASDSA) and American Society for Laser Medicine & Surgery (ASLMS) guidance for cosmetic dermatology practices during COVID-19. Updated January 11, 2021. Accessed April 10, 2021. https://www.asds.net/Portals/0/PDF/asdsa/asdsa-aslms-cosmetic-reopening-guidance.pdf
  5. Geskin LJ, Trager MH, Aasi SZ, et al. Perspectives on the recommendations for skin cancer management during the COVID-19 pandemic.J Am Acad Dermatol. 2020;83:295-296. doi:10.1016/j.jaad.2020.05.002
  6. Yuan JT, Jiang SIB. Urgent safety considerations for dermatologic surgeons in the COVID-19 pandemic. Dermatol Online J. 2020;26:1. Accessed April 20, 2021. http://escholarship.org/uc/item/2qr3w771
  7. Otolaryngologists may contract COVID-19 during surgery. ENTtoday. March 20, 2020. Accessed April 20, 2021. https://www.enttoday.org/article/otolaryngologists-may-contract-covid-19-during-surgery/
  8. Howard BE. High-risk aerosol-generating procedures in COVID-19: respiratory protective equipment considerations. Otolaryngol Head Neck Surg. 2020;163:98-103. doi:10.1177/0194599820927335
  9. Tee MW, Stewart C, Aliessa S, et al. Dermatological surgery during the COVID-19 pandemic: experience of a large academic center. J Am Acad Dermatol. 2021;84:1094-1096. doi:10.1016/j.jaad.2020.12.003
  10. Hooper J, Feng H. The impact of COVID-19 on micrographic surgery and dermatologic oncology fellows. Dermatol Surg. 2020;46:1762-1763. doi:10.1097/DSS.0000000000002766
  11. Nicholson P, Ali FR, Patalay R, et al. Patient perceptions of Mohs micrographic surgery during the COVID-19 pandemic and lessons for the next outbreak. Clin Exp Dermatol. 2021;46:179-180. doi:10.1111/ced.14423
  12. Mou T, Brown O, Gillingham A, et al. Patients’ perceptions on surgical care suspension for pelvic floor disorders during the COVID-19 pandemic. Female Pelvic Med Reconstr Surg. 2020;26:477-482. doi:10.1097/SPV.0000000000000918
  13. Fujita K, Ito T, Saito Z, et al. Impact of COVID-19 pandemic on lung cancer treatment scheduling. Thorac Cancer. 2020;11:2983-2986. doi:10.1111/1759-7714.13615
  14. Nikumb VB, Banerjee A, Kaur G, et al. Impact of doctor-patient communication on preoperative anxiety: study at industrial township, Pimpri, Pune. Ind Psychiatry J. 2009;18:19-21. doi:10.4103/0972-6748.57852
  15. Baumann BC, MacArthur KM, Brewer JD, et al. Management of primary skin cancer during a pandemic: multidisciplinary recommendations. Cancer. 2020;126:3900-3906. doi:10.1002/cncr.32969
References
  1. Center for Disease Control and Prevention. COVID-19. Accessed April 20, 2021. https://www.cdc.gov/coronavirus/2019-ncov/index.html
  2. American College of Mohs Surgery. Mohs surgery ambulatory protocol during COVID pandemic (version 6-3-20). June 4, 2020. Accessed April 20, 2021. http://staging.mohscollege.org/UserFiles/AM20/Member%20Alert/MohsSurgeryAmbulatoryProtocolDuringCOVIDPandemicFinal.pdf
  3. COVID-19 resources. National Comprehensive Cancer Network website. Accessed April 20, 2021. https://www.nccn.org/covid-19
  4. Narla S, Alam M, Ozog DM, et al. American Society of Dermatologic Surgery Association (ASDSA) and American Society for Laser Medicine & Surgery (ASLMS) guidance for cosmetic dermatology practices during COVID-19. Updated January 11, 2021. Accessed April 10, 2021. https://www.asds.net/Portals/0/PDF/asdsa/asdsa-aslms-cosmetic-reopening-guidance.pdf
  5. Geskin LJ, Trager MH, Aasi SZ, et al. Perspectives on the recommendations for skin cancer management during the COVID-19 pandemic.J Am Acad Dermatol. 2020;83:295-296. doi:10.1016/j.jaad.2020.05.002
  6. Yuan JT, Jiang SIB. Urgent safety considerations for dermatologic surgeons in the COVID-19 pandemic. Dermatol Online J. 2020;26:1. Accessed April 20, 2021. http://escholarship.org/uc/item/2qr3w771
  7. Otolaryngologists may contract COVID-19 during surgery. ENTtoday. March 20, 2020. Accessed April 20, 2021. https://www.enttoday.org/article/otolaryngologists-may-contract-covid-19-during-surgery/
  8. Howard BE. High-risk aerosol-generating procedures in COVID-19: respiratory protective equipment considerations. Otolaryngol Head Neck Surg. 2020;163:98-103. doi:10.1177/0194599820927335
  9. Tee MW, Stewart C, Aliessa S, et al. Dermatological surgery during the COVID-19 pandemic: experience of a large academic center. J Am Acad Dermatol. 2021;84:1094-1096. doi:10.1016/j.jaad.2020.12.003
  10. Hooper J, Feng H. The impact of COVID-19 on micrographic surgery and dermatologic oncology fellows. Dermatol Surg. 2020;46:1762-1763. doi:10.1097/DSS.0000000000002766
  11. Nicholson P, Ali FR, Patalay R, et al. Patient perceptions of Mohs micrographic surgery during the COVID-19 pandemic and lessons for the next outbreak. Clin Exp Dermatol. 2021;46:179-180. doi:10.1111/ced.14423
  12. Mou T, Brown O, Gillingham A, et al. Patients’ perceptions on surgical care suspension for pelvic floor disorders during the COVID-19 pandemic. Female Pelvic Med Reconstr Surg. 2020;26:477-482. doi:10.1097/SPV.0000000000000918
  13. Fujita K, Ito T, Saito Z, et al. Impact of COVID-19 pandemic on lung cancer treatment scheduling. Thorac Cancer. 2020;11:2983-2986. doi:10.1111/1759-7714.13615
  14. Nikumb VB, Banerjee A, Kaur G, et al. Impact of doctor-patient communication on preoperative anxiety: study at industrial township, Pimpri, Pune. Ind Psychiatry J. 2009;18:19-21. doi:10.4103/0972-6748.57852
  15. Baumann BC, MacArthur KM, Brewer JD, et al. Management of primary skin cancer during a pandemic: multidisciplinary recommendations. Cancer. 2020;126:3900-3906. doi:10.1002/cncr.32969
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Practice Points

  • There is little evidence that supports a high risk for SARS-CoV-2 transmission during Mohs micrographic surgery when proper personal protective equipment and strict infection control protocols are in place.
  • The effects of treatment delays due to COVID-19 on the patient experience have not been well studied, but the limited literature suggests a negative association. 
  • Shared decision-making and evaluation of individual patient risk factors and concerns should be considered when deciding whether to postpone skin cancer treatment.
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Possible obesity effect detected in cancer death rates

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The obesity epidemic in the United States may be slowing improvements in cancer mortality, according to a new analysis of over 50 million cancer and heart disease deaths.

“By integrating 20 years of cancer mortality data, we demonstrated that trends in obesity-associated cancer mortality showed signs of recent deceleration, consistent with recent findings for heart disease mortality,” Christy L. Avery, PhD, and associates wrote in JAMA Network Open.

Improvements in mortality related to heart disease slowed after 2011, a phenomenon that has been associated with rising obesity rates. The age-adjusted mortality rate (AAMR) declined at an average of 3.8 deaths per 100,000 persons from 1999 to 2011 but only 0.7 deaths per 100,000 from 2011 to 2018, based on data from the Centers for Disease Control and Prevention’s Wide-Ranging Online Data for Epidemiologic Research (WONDER).

To understand trends in cancer mortality and their possible connection with obesity, data for 1999-2018 from the WONDER database were divided into obesity-associated and non–obesity-associated categories and compared with heart disease mortality, they explained. The database included more than 50 million deaths that matched inclusion criteria.

The analysis showed there was difference between obesity-associated and non–obesity-associated cancers that was obscured when all cancer deaths were considered together. The average annual change in AAMR for obesity-associated cancers slowed from –1.19 deaths per 100,000 in 1999-2011 to –0.83 in 2011-2018, Dr. Avery and associates reported.

For non–obesity-associated cancers, the annual change in AAMR increased from –1.62 per 100,000 for 1999-2011 to –2.29 for 2011-2018, following the trend for all cancers: –1.48 per 100,000 during 1999-2011 and –1.77 in 2011-2018, they said.

“The largest mortality decreases were observed for melanoma of the skin and lung cancer, two cancers not associated with obesity. For obesity-associated cancers, stable or increasing mortality rates have been observed for liver and pancreatic cancer among both men and women as well as for uterine cancer among women,” the investigators wrote.

Demographically, however, the slowing improvement in mortality for obesity-associated cancers did not follow the trend for heart disease. The deceleration for cancer was more pronounced for women and for non-Hispanic Whites and not seen at all in non-Hispanic Asian/Pacific Islander individuals. “For heart disease, evidence of a deceleration was consistent across sex, race, and ethnicity,” they said.

There are “longstanding disparities in obesity” among various populations in the United States, and the recent trend of obesity occurring earlier in life may be having an effect. “Whether the findings of decelerating mortality rates potentially signal a changing profile of cancer and heart disease mortality as the consequences of the obesity epidemic are realized remains to be seen,” they concluded.

The investigators reported receiving grants from the National Institutes of Health during the conduct of the study, but no other disclosures were reported.

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The obesity epidemic in the United States may be slowing improvements in cancer mortality, according to a new analysis of over 50 million cancer and heart disease deaths.

“By integrating 20 years of cancer mortality data, we demonstrated that trends in obesity-associated cancer mortality showed signs of recent deceleration, consistent with recent findings for heart disease mortality,” Christy L. Avery, PhD, and associates wrote in JAMA Network Open.

Improvements in mortality related to heart disease slowed after 2011, a phenomenon that has been associated with rising obesity rates. The age-adjusted mortality rate (AAMR) declined at an average of 3.8 deaths per 100,000 persons from 1999 to 2011 but only 0.7 deaths per 100,000 from 2011 to 2018, based on data from the Centers for Disease Control and Prevention’s Wide-Ranging Online Data for Epidemiologic Research (WONDER).

To understand trends in cancer mortality and their possible connection with obesity, data for 1999-2018 from the WONDER database were divided into obesity-associated and non–obesity-associated categories and compared with heart disease mortality, they explained. The database included more than 50 million deaths that matched inclusion criteria.

The analysis showed there was difference between obesity-associated and non–obesity-associated cancers that was obscured when all cancer deaths were considered together. The average annual change in AAMR for obesity-associated cancers slowed from –1.19 deaths per 100,000 in 1999-2011 to –0.83 in 2011-2018, Dr. Avery and associates reported.

For non–obesity-associated cancers, the annual change in AAMR increased from –1.62 per 100,000 for 1999-2011 to –2.29 for 2011-2018, following the trend for all cancers: –1.48 per 100,000 during 1999-2011 and –1.77 in 2011-2018, they said.

“The largest mortality decreases were observed for melanoma of the skin and lung cancer, two cancers not associated with obesity. For obesity-associated cancers, stable or increasing mortality rates have been observed for liver and pancreatic cancer among both men and women as well as for uterine cancer among women,” the investigators wrote.

Demographically, however, the slowing improvement in mortality for obesity-associated cancers did not follow the trend for heart disease. The deceleration for cancer was more pronounced for women and for non-Hispanic Whites and not seen at all in non-Hispanic Asian/Pacific Islander individuals. “For heart disease, evidence of a deceleration was consistent across sex, race, and ethnicity,” they said.

There are “longstanding disparities in obesity” among various populations in the United States, and the recent trend of obesity occurring earlier in life may be having an effect. “Whether the findings of decelerating mortality rates potentially signal a changing profile of cancer and heart disease mortality as the consequences of the obesity epidemic are realized remains to be seen,” they concluded.

The investigators reported receiving grants from the National Institutes of Health during the conduct of the study, but no other disclosures were reported.

The obesity epidemic in the United States may be slowing improvements in cancer mortality, according to a new analysis of over 50 million cancer and heart disease deaths.

“By integrating 20 years of cancer mortality data, we demonstrated that trends in obesity-associated cancer mortality showed signs of recent deceleration, consistent with recent findings for heart disease mortality,” Christy L. Avery, PhD, and associates wrote in JAMA Network Open.

Improvements in mortality related to heart disease slowed after 2011, a phenomenon that has been associated with rising obesity rates. The age-adjusted mortality rate (AAMR) declined at an average of 3.8 deaths per 100,000 persons from 1999 to 2011 but only 0.7 deaths per 100,000 from 2011 to 2018, based on data from the Centers for Disease Control and Prevention’s Wide-Ranging Online Data for Epidemiologic Research (WONDER).

To understand trends in cancer mortality and their possible connection with obesity, data for 1999-2018 from the WONDER database were divided into obesity-associated and non–obesity-associated categories and compared with heart disease mortality, they explained. The database included more than 50 million deaths that matched inclusion criteria.

The analysis showed there was difference between obesity-associated and non–obesity-associated cancers that was obscured when all cancer deaths were considered together. The average annual change in AAMR for obesity-associated cancers slowed from –1.19 deaths per 100,000 in 1999-2011 to –0.83 in 2011-2018, Dr. Avery and associates reported.

For non–obesity-associated cancers, the annual change in AAMR increased from –1.62 per 100,000 for 1999-2011 to –2.29 for 2011-2018, following the trend for all cancers: –1.48 per 100,000 during 1999-2011 and –1.77 in 2011-2018, they said.

“The largest mortality decreases were observed for melanoma of the skin and lung cancer, two cancers not associated with obesity. For obesity-associated cancers, stable or increasing mortality rates have been observed for liver and pancreatic cancer among both men and women as well as for uterine cancer among women,” the investigators wrote.

Demographically, however, the slowing improvement in mortality for obesity-associated cancers did not follow the trend for heart disease. The deceleration for cancer was more pronounced for women and for non-Hispanic Whites and not seen at all in non-Hispanic Asian/Pacific Islander individuals. “For heart disease, evidence of a deceleration was consistent across sex, race, and ethnicity,” they said.

There are “longstanding disparities in obesity” among various populations in the United States, and the recent trend of obesity occurring earlier in life may be having an effect. “Whether the findings of decelerating mortality rates potentially signal a changing profile of cancer and heart disease mortality as the consequences of the obesity epidemic are realized remains to be seen,” they concluded.

The investigators reported receiving grants from the National Institutes of Health during the conduct of the study, but no other disclosures were reported.

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Clinical Use of a Diagnostic Gene Expression Signature for Melanocytic Neoplasms

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According to National Institutes of Health estimates, more than 90,000 new cases of melanoma were diagnosed in 2018.1 Overall 5-year survival for patients with melanoma exceeds 90%, but individual survival estimates are highly dependent on stage at diagnosis, and survival decreases markedly with metastasis. Therefore, early and accurate diagnosis is critical.

Diagnosis of melanocytic neoplasms usually is performed by dermatopathologists through microscopic examination of stained tissue biopsy sections, a technically simple and effective method that enables a definitive diagnosis of benign nevus or malignant melanoma to be made in most cases. However, approximately 15% of all biopsied melanocytic lesions will exhibit some degree of histopathologic ambiguity,2-4 meaning that some of their microscopic features will be characteristic of a benign nevus while others will suggest the possibility of malignant melanoma. Diagnostic interpretations often vary in these cases, even among experts, and a definitive diagnosis of benign or malignant may be difficult to achieve by microscopy alone.2-4 Because of the marked reduction in survival once a melanoma has metastasized, these diagnostically ambiguous lesions often are treated as possible malignant melanomas with complete surgical excision (or re-excision). However, some experts suggest that many histopathologically ambiguous melanocytic neoplasms are, in fact, benign,5 a notion supported by epidemiologic evidence.6,7 Therefore, excision of many ambiguous melanocytic neoplasms might be avoided if definitive diagnosis could be achieved.

A gene expression signature was developed and validated for use as an adjunct to traditional methods of differentiating malignant melanocytic neoplasms from their benign counterparts.8-11 This test quantifies the RNA transcripts produced by 14 genes known to be overexpressed in malignant melanomas by comparison to benign nevi. These values are then combined algorithmically with measurements of 9 reference genes to produce an objective numerical score that is classified as benign, malignant, or indeterminate. When used by board-certified dermatopathologists and dermatologists confronting ambiguous melanocytic lesions, the test produces substantial increases in definitive diagnoses and prompts changes in treatment recommendations.12,13 However, the long-term consequences of foregoing surgical excision of melanocytic neoplasms that are diagnostically ambiguous but classified as benign by this test have not yet been formally assessed. In the current study, prospectively tested patients whose ambiguous melanocytic neoplasms were classified as benign by the gene expression signature were followed for up to 4.5 years to evaluate the long-term safety of treatment decisions aligned with benign test results.

Methods

Study Population
As part of a prior study,12 US-based dermatopathologists submitted tissue sections from biopsied melanocytic neoplasms determined to be diagnostically ambiguous by histopathology for analysis with the gene expression signature (Myriad Genetics, Inc). Diagnostically ambiguous lesions were those lesions that were described as ambiguous, uncertain, equivocal, indeterminate, or other synonymous terms by the submitting dermatopathologist and therefore lacked a confident diagnosis of benign or malignant prior to testing. Patients initially were tested between May 2014 and August 2014, with samples submitted through a prospective clinical experience study designed to assess the impact of the test on diagnosis and treatment decisions. This study was performed under an institutional review board waiver of consent (Quorum #33403/1).

Patients were eligible for inclusion in the current study if their biopsy specimens (1) had an uncertain preliminary diagnosis according to the submitting dermatopathologist (pretest diagnosis of indeterminate); (2) received a negative (benign) score from the gene expression test; (3) were treated as benign by the dermatologist(s) involved in follow-up care; and (4) were submitted by a single site (St. Joseph Medical Center, Houston, Texas). Although a single dermatopathology site was used for this study, multiple dermatologists were involved in the final treatment of these patients. Patients with benign scores who received additional intervention were excluded, as they may have a lower rate of adverse events (ie, metastasis) than those who did not receive intervention and would therefore skew the analysis population. A total of 25 patients from the prior study met these inclusion criteria. The previously collected12 pretest and posttest de-identified data were compiled from the commercial laboratory databases, and the patients were followed from the time of testing via medical record review performed by the dermatology providers at participating sites. Clinical follow-up data were collected using study-specific case report forms (CRFs) that captured the following: (1) the dates and results of clinical follow-up visits; (2) the type(s) of treatment and interventions (if any) performed at those visits; (3) the specific indication for any intervention performed; (4) any evidence of persistent, locally recurrent, and/or distant melanocytic neoplasia (whether definitively attributable to the tested lesion or not); and (5) death from any cause. The CRF assigned interventions to 1 of 5 categories: excision, excision with sentinel lymph node biopsy, referral to dermatologic or other surgeon, examination only (without surgical intervention), and other. Selection of other required a free-text description of the treatment and indications. Pertinent information not otherwise captured by the CRF also was recordable as free text.

Gene Expression Testing
Gene expression testing was carried out at the time of specimen submission in the prior study12 as described previously.14 Briefly, formalin-fixed, paraffin-embedded, unstained tissue sections and/or tissue blocks were submitted for testing along with a single hematoxylin and eosin–stained slide used to identify and designate the representative portion(s) of the lesion to be tested. These areas were macrodissected from unstained tissue sections and pooled for RNA extraction. Expression of 14 biomarker genes and 9 reference genes was measured via quantitative reverse transcription–polymerase chain reaction, performed in triplicate for each individual gene. The assay score was generated through application of a weighted algorithm to the expression values generated through quantitative reverse transcription–polymerase chain reaction. Scores were plotted on a scale ranging from 16.7 to 11.1, with scores from 0.0 to 11.1 classified as malignant, scores from 16.7 to 2.1 as benign, and scores from 2.1 to 0.1 as indeterminate.



Statistical Analysis
Demographic and other baseline characteristics of the patient population were summarized. Follow-up time was calculated as the interval between the date a patient’s gene expression test result was first issued to the provider and the date of the patient’s last recorded visit during the study period. All patient dermatology office visits within the designated follow-up period were documented, with a nonstandard number of visits and follow-up time across all study patients. Statistical analyses were conducted using SAS software (SAS Institute Inc), R software version 3.5.0 (R Foundation for Statistical Computing), and IBM SPSS Statistics software (IBM SPSS Statistics for Windows, Version 25).

 

 

Results

Patient Sample
A total of 25 ambiguous melanocytic neoplasms from 25 patients met the study inclusion criteria of a benign gene expression result with subsequent treatment as a benign neoplasm during follow-up. The patient sample statistics are summarized in Table 1. Most patients were younger than 65 years, with an average age at the time of biopsy of 48.4 years. All 25 neoplasms produced negative (benign) gene expression signature scores, all were diagnosed as benign nevi posttest by the submitting dermatopathologist, and all patients were initially treated in accordance with the benign diagnosis by the dermatologist(s) involved in clinical follow-up care. Prior to testing with the gene expression signature, most of these histopathologically indeterminate lesions received differential diagnoses, the most common of which were dysplastic nevus (84%), melanoma arising from a nevus (72%), and superficial spreading melanoma (64%; eTable). After testing with the gene expression signature and receiving a benign score, most lesions received a single differential diagnosis of dysplastic nevus (88%).

Follow-up and Survival
Clinical follow-up time ranged from 0.6 to 53.3 months, with a mean duration (SD) of 38.5 (16.6) months, and patients attended an average of 4 postbiopsy dermatology appointments (mean [SD], 4.6 [3.6]). According to the participating dermatology care providers, none of the 25 patients developed any indication during follow-up that the diagnosis of benign nevus was inaccurate. No patient had evidence of locally recurrent or metastatic melanoma, and none died during the study period.



Treatment/Interventions
The treatment recorded in the CRF was examination only for 21 of 25 patients, excision for 3, and other for 1 (Table 2). Because the explanation for the selection of other in this case described an excision performed at the same anatomic location as the biopsy, this treatment also was considered an excision for purposes of the study analyses. The 3 excisions all occurred at the first postbiopsy dermatology encounter. Across all follow-up visits, no additional surgical interventions occurred (Table 2).



The first excision (case 1) involved a 67-year-old woman with a lesion on the mid pubic region described clinically as an atypical nevus that generated a pretest histopathologic differential diagnosis including dysplastic nevus, superficial spreading melanoma, and melanoma arising within a nevus (Table 3; Figure, A and B). The gene expression test result was benign (score, 5.4), and the final pathology report diagnosis was nevus with junctional dysplasia, moderate. Surgical excision was performed at the patient’s first return visit, 505 days after initial diagnosis, with moderately dysplastic nevus as the recorded indication for removal. No repigmentation or other evidence of local recurrence or progression was detected, and the treating dermatologist indicated no suspicion that the original diagnosis of benign nevus was incorrect during the 23-month follow-up period.


Histopathologic features of the 3 melanocytic neoplasms that were excised during the study follow-up period. The histopathologic differential diagnosis for each case included dysplastic nevus, superficial spreading melanoma, and melanoma arising within a preexisting nevus. All were classified as benign by the gene expression signature. For each, the indication for excision was patient or physician preference. A and B, Case 1 (a 67-year-old woman with a lesion on the mid pubic region)(H&E, original magnifications ×10 and ×100). C and D, Case 2 (a 27-year-old woman with a lesion on the back)(H&E, original magnifications ×10 and ×100). E and F, Case 3 (a 32-year-old woman with a lesion on the abdomen)(H&E, original magnifications ×10 and ×40).

The second excision (case 2) involved a 27-year-old woman with a pigmented neoplasm on the mid upper back (Figure, C and D) biopsied to rule out dysplastic nevus that resulted in a pretest histopathologic differential diagnosis of dysplastic nevus vs superficial spreading melanoma or melanoma arising within a nevus. The gene expression test result classified the lesion as benign (score, 2.9), and the final pathology diagnosis was nevus, compound, with moderate dysplasia. Despite the benign diagnosis, residual neoplasm (or pigmentation) at the biopsy site prompted the patient to request excision at her first postbiopsy visit, 22 days after testing (Table 3). The CRF completed by the dermatologist reported no indication that the benign diagnosis was inaccurate, but the patient was subsequently lost to follow-up.



The third excision (case 3) involved a 32-year-old woman with a pigmented lesion on the abdomen (Table 3; Figure, E and F). The clinical description was irregular-appearing black papule, nevus with atypia, and the histopathologic differential diagnosis again included dysplastic nevus, superficial spreading melanoma, and melanoma arising within a preexisting nevus. The gene expression signature result was benign (score, 7.2), and the final diagnosis issued within the accompanying pathology report was nevus with moderate junctional dysplasia. Despite the benign diagnosis, excision was performed 89 days after test result availability, with apparent residual pigmentation as the specified indication. As with the other 2 cases, the treating dermatologist confirmed that neither clinical features nor follow-up events suggested malignancy.

Comment

This study followed a cohort of 25 patients with histopathologically ambiguous melanocytic neoplasms that were classified as benign by a diagnostic gene expression test with the intent of determining the outcomes of patients whose treatment aligned with their benign test result. All patients initially were managed according to their test result. During an average posttest clinical follow-up time of more than 3 years (38.5 months), the 25 biopsied lesions, most of which received a differential diagnosis of dysplastic nevus, were regarded as benign nevi by their dermatologists, and the vast majority (88%) received no further surgical intervention. Three patients underwent subsequent excision of the biopsied lesion, with patient or physician preference as the indication in each instance. None of the 25 patients developed evidence of local recurrence, metastasis, or other findings that prompted doubt of the benign diagnosis. The absence of adverse events during clinical follow-up, particularly given that most lesions were not subjected to further intervention, supports use of the gene expression test as a safe and effective adjunct to the diagnosis and treatment of ambiguous melanocytic neoplasms by dermatologists and dermatopathologists.

 

 

Ambiguous melanocytic neoplasms evaluated without the aid of molecular adjuncts often result in equivocal or less-than-definitive diagnoses, and further surgical intervention is commonly undertaken to mitigate against the possibility of a missed melanoma.13 In this study, treatment that was aligned with the benign test result allowed most patients to avoid further surgical intervention, which suggests that adjunctive use of the gene signature can contribute to reductions in the physical and economic burdens imposed by unnecessary surgical interventions.15,16 Moreover, any means of increasing accurate and definitive diagnoses may produce an immediate impact on health outcomes by reducing the anxiety that uncertainty often provokes in patients and health care providers alike.

Study Limitations
This study must be interpreted within the context of its limitations. Obtaining meaningful patient outcome data is a common challenge in health care research due to the requisite length of follow-up and sometimes the lack of definitive evidence of adverse events. This is particularly difficult for melanocytic neoplasms because of an apparent inclination for patients with benign diagnoses to abandon follow-up and an increasing tendency for even minimal diagnostic uncertainty to prompt complete excision. Additionally, the only definitive clinical outcome for melanocytic neoplasms is distant metastasis, which (fortunately for patients) is relatively rare. Not surprisingly, studies documenting clinical outcomes of patients with ambiguous melanocytic neoplasms tested prospectively with diagnostic adjuncts are scarce, and this study’s sample size and clinical follow-up compare favorably with the few that exist.17,18 Although most melanomas declare themselves through recurrence or metastasis within several years of initial biopsy,1,19 some are clinically dormant for as long as 10 years after initial detection.20,21 This may be particularly true for the small or early-stage lesions that now comprise the majority of biopsied neoplasms, and such events would go undetected by this study and many others. It also must be recognized that uneventful follow-up, regardless of duration, cannot prove that a biopsied melanocytic neoplasm was benign. Although only 5 patients had a follow-up time of less than 2 years (the time frame in which most recurrence or metastasis will occur), it cannot be definitively proven that a minimum of 2 years recurrence- or metastasis-free survival indicates a benign lesion. Many early-stage malignant melanomas are eradicated by complete excision or even by the initial biopsy if margins are uninvolved.

Because these limitations are intrinsic to melanocytic neoplasms and current management strategies, they pertain to all investigations seeking insights into biological potential through clinical outcomes. Similarly, all current diagnostic tools and procedures have the potential for sampling error, including histopathology. The rarity of adverse outcomes (recurrence and metastasis) in patients with benign test results within this cohort indicates that false-negative results are uncommon, which is further evidenced by a similar rarity of adverse events in prior studies of the gene expression signature.8-10,22 A particular strength of this study is that most of the ambiguous melanocytic neoplasms followed did not undergo excision after the initial biopsy, an increasingly uncommon situation that may increase their likelihood to be informative.



It must be emphasized that the gene expression test, similar to other diagnostic adjuncts, is neither a replacement for histopathologic interpretation nor a substitute for judgment. As with all tests, it can produce false-positive and false-negative results. Therefore, it should always be interpreted within the constellation of the many other data points that must be considered when making a distinction between benign nevus and malignant melanoma, including but not limited to patient age, family and personal history of melanoma, anatomic location, clinical features, and histopathologic findings. As is the case for many diseases, careful consideration of all relevant input is necessary to minimize the risk of misdiagnosis that might occur should any single data point prove inaccurate, including the results of adjunctive molecular tests.

Conclusion

Ancillary methods are emerging as useful tools for the diagnostic evaluation of melanocytic neoplasms that cannot be assigned definitive diagnoses using traditional techniques alone. This study suggests that patients with ambiguous melanocytic neoplasms may benefit from diagnoses and treatment decisions aligned with the results of a gene expression test, and that for those with a benign result, simple observation may be a safe alternative to surgical excision. This expands upon prior observations of the test’s influence on diagnoses and treatment decisions and supports its role as part of dermatopathologists’ and dermatologists’ decision-making process for histopathologically ambiguous melanocytic lesions.

References
  1. Noone AM, Howlander N, Krapcho M, et al, eds. SEER Cancer Statistics Review, 1975-2015. National Cancer Institute website. Updated September 10, 2018. Accessed April 21, 2021. https://seer.cancer.gov/archive/csr/1975_2015/
  2. Shoo BA, Sagebiel RW, Kashani-Sabet M. Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center. J Am Acad Dermatol. 2010;62:751-756.
  3. Veenhuizen KC, De Wit PE, Mooi WJ, et al. Quality assessment by expert opinion in melanoma pathology: experience of the pathology panel of the Dutch Melanoma Working Party. J Pathol. 1997;182:266-272.
  4. Elmore JG, Barnhill RL, Elder DE, et al. Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study. BMJ. 2017;357:j2813. doi:10.1136/bmj.j2813
  5. Glusac EJ. The melanoma ‘epidemic’, a dermatopathologist’s perspective. J Cutan Pathol. 2011;38:264-267.
  6. Welch HG, Woloshin S, Schwartz LM. Skin biopsy rates and incidence of melanoma: population based ecological study. BMJ. 2005;331:481.
  7. Swerlick RA, Chen S. The melanoma epidemic. Is increased surveillance the solution or the problem? Arch Dermatol. 1996;132:881-884.
  8. Ko JS, Matharoo-Ball B, Billings SD, et al. Diagnostic distinction of malignant melanoma and benign nevi by a gene expression signature and correlation to clinical outcomes. Cancer Epidemiol Biomarkers Prev. 2017;26:1107-1113.
  9. Clarke LE, Flake DD 2nd, Busam K, et al. An independent validation of a gene expression signature to differentiate malignant melanoma from benign melanocytic nevi. Cancer. 2017;123:617-628.
  10. Clarke LE, Warf BM, Flake DD 2nd, et al. Clinical validation of a gene expression signature that differentiates benign nevi from malignant melanoma. J Cutan Pathol. 2015;42:244-252.
  11. Minca EC, Al-Rohil RN, Wang M, et al. Comparison between melanoma gene expression score and fluorescence in situ hybridization for the classification of melanocytic lesions. Mod Pathol. 2016;29:832-843.
  12. Cockerell CJ, Tschen J, Evans B, et al. The influence of a gene expression signature on the diagnosis and recommended treatment of melanocytic tumors by dermatopathologists. Medicine (Baltimore). 2016;95:e4887. doi:10.1097/MD.0000000000004887
  13. Cockerell C, Tschen J, Billings SD, et al. The influence of a gene-expression signature on the treatment of diagnostically challenging melanocytic lesions. Per Med. 2017;14:123-130.
  14. Warf MB, Flake DD 2nd, Adams D, et al. Analytical validation of a melanoma diagnostic gene signature using formalin-fixed paraffin-embedded melanocytic lesions. Biomark Med. 2015;9:407-416.
  15. Guy GP Jr, Ekwueme DU, Tangka FK, et al. Melanoma treatment costs: a systematic review of the literature, 1990-2011. Am J Prev Med. 2012;43:537-545.
  16. Guy GP Jr, Machlin SR, Ekwueme DU, et al. Prevalence and costs of skin cancer treatment in the U.S., 2002-2006 and 2007-2011. Am J Prev Med. 2015;48:183-187.
  17. Egnatios GL, Ferringer TC. Clinical follow-up of atypical spitzoid tumors analyzed by fluorescence in situ hybridization. Am J Dermatopathol. 2016;38:289-296.
  18. Fischer AS, High WA. The difficulty in interpreting gene expression profiling in BAP-negative melanocytic tumors. J Cutan Pathol. 2018;45:659-666. doi:10.1111/cup.13277
  19. Vollmer RT. The dynamics of death in melanoma. J Cutan Pathol. 2012;39:1075-1082.
  20. Osella-Abate S, Ribero S, Sanlorenzo M, et al. Risk factors related to late metastases in 1,372 melanoma patients disease free more than 10 years. Int J Cancer. 2015;136:2453-2457.
  21. Faries MB, Steen S, Ye X, et al. Late recurrence in melanoma: clinical implications of lost dormancy. J Am Coll Surg. 2013;217:27-34.
  22. Ko JS, Clarke LE, Minca EC, et al. Correlation of melanoma gene expression score with clinical outcomes on a series of melanocytic lesions. Hum Pathol. 2019;86:213-221.
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Author and Disclosure Information

Dr. Tschen is from St. Joseph Dermatopathology, Houston, Texas. Ms. Davies is from Assurex Health Ltd, Toronto, Ontario, Canada. Drs. Meek and Clarke are from Myriad Genetics, Inc, Salt Lake City, Utah.

Dr. Tschen reports no conflict of interest. Ms. Davies was employed by Assurex Health Ltd, a Myriad Genetics subsidiary, and Drs. Meek and Clarke were employed by Myriad Genetics, Inc, at the time of manuscript submission.

This study was funded by Myriad Genetics, Inc.

The eTable is available in the Appendix online at www.mdedge.com/dermatology.

Correspondence: Loren E. Clarke, MD, Myriad Genetics, Inc, 320 Wakara Way, Salt Lake City, UT 84108 (lclarke@myriad.com).

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Author and Disclosure Information

Dr. Tschen is from St. Joseph Dermatopathology, Houston, Texas. Ms. Davies is from Assurex Health Ltd, Toronto, Ontario, Canada. Drs. Meek and Clarke are from Myriad Genetics, Inc, Salt Lake City, Utah.

Dr. Tschen reports no conflict of interest. Ms. Davies was employed by Assurex Health Ltd, a Myriad Genetics subsidiary, and Drs. Meek and Clarke were employed by Myriad Genetics, Inc, at the time of manuscript submission.

This study was funded by Myriad Genetics, Inc.

The eTable is available in the Appendix online at www.mdedge.com/dermatology.

Correspondence: Loren E. Clarke, MD, Myriad Genetics, Inc, 320 Wakara Way, Salt Lake City, UT 84108 (lclarke@myriad.com).

Author and Disclosure Information

Dr. Tschen is from St. Joseph Dermatopathology, Houston, Texas. Ms. Davies is from Assurex Health Ltd, Toronto, Ontario, Canada. Drs. Meek and Clarke are from Myriad Genetics, Inc, Salt Lake City, Utah.

Dr. Tschen reports no conflict of interest. Ms. Davies was employed by Assurex Health Ltd, a Myriad Genetics subsidiary, and Drs. Meek and Clarke were employed by Myriad Genetics, Inc, at the time of manuscript submission.

This study was funded by Myriad Genetics, Inc.

The eTable is available in the Appendix online at www.mdedge.com/dermatology.

Correspondence: Loren E. Clarke, MD, Myriad Genetics, Inc, 320 Wakara Way, Salt Lake City, UT 84108 (lclarke@myriad.com).

Article PDF
Article PDF

According to National Institutes of Health estimates, more than 90,000 new cases of melanoma were diagnosed in 2018.1 Overall 5-year survival for patients with melanoma exceeds 90%, but individual survival estimates are highly dependent on stage at diagnosis, and survival decreases markedly with metastasis. Therefore, early and accurate diagnosis is critical.

Diagnosis of melanocytic neoplasms usually is performed by dermatopathologists through microscopic examination of stained tissue biopsy sections, a technically simple and effective method that enables a definitive diagnosis of benign nevus or malignant melanoma to be made in most cases. However, approximately 15% of all biopsied melanocytic lesions will exhibit some degree of histopathologic ambiguity,2-4 meaning that some of their microscopic features will be characteristic of a benign nevus while others will suggest the possibility of malignant melanoma. Diagnostic interpretations often vary in these cases, even among experts, and a definitive diagnosis of benign or malignant may be difficult to achieve by microscopy alone.2-4 Because of the marked reduction in survival once a melanoma has metastasized, these diagnostically ambiguous lesions often are treated as possible malignant melanomas with complete surgical excision (or re-excision). However, some experts suggest that many histopathologically ambiguous melanocytic neoplasms are, in fact, benign,5 a notion supported by epidemiologic evidence.6,7 Therefore, excision of many ambiguous melanocytic neoplasms might be avoided if definitive diagnosis could be achieved.

A gene expression signature was developed and validated for use as an adjunct to traditional methods of differentiating malignant melanocytic neoplasms from their benign counterparts.8-11 This test quantifies the RNA transcripts produced by 14 genes known to be overexpressed in malignant melanomas by comparison to benign nevi. These values are then combined algorithmically with measurements of 9 reference genes to produce an objective numerical score that is classified as benign, malignant, or indeterminate. When used by board-certified dermatopathologists and dermatologists confronting ambiguous melanocytic lesions, the test produces substantial increases in definitive diagnoses and prompts changes in treatment recommendations.12,13 However, the long-term consequences of foregoing surgical excision of melanocytic neoplasms that are diagnostically ambiguous but classified as benign by this test have not yet been formally assessed. In the current study, prospectively tested patients whose ambiguous melanocytic neoplasms were classified as benign by the gene expression signature were followed for up to 4.5 years to evaluate the long-term safety of treatment decisions aligned with benign test results.

Methods

Study Population
As part of a prior study,12 US-based dermatopathologists submitted tissue sections from biopsied melanocytic neoplasms determined to be diagnostically ambiguous by histopathology for analysis with the gene expression signature (Myriad Genetics, Inc). Diagnostically ambiguous lesions were those lesions that were described as ambiguous, uncertain, equivocal, indeterminate, or other synonymous terms by the submitting dermatopathologist and therefore lacked a confident diagnosis of benign or malignant prior to testing. Patients initially were tested between May 2014 and August 2014, with samples submitted through a prospective clinical experience study designed to assess the impact of the test on diagnosis and treatment decisions. This study was performed under an institutional review board waiver of consent (Quorum #33403/1).

Patients were eligible for inclusion in the current study if their biopsy specimens (1) had an uncertain preliminary diagnosis according to the submitting dermatopathologist (pretest diagnosis of indeterminate); (2) received a negative (benign) score from the gene expression test; (3) were treated as benign by the dermatologist(s) involved in follow-up care; and (4) were submitted by a single site (St. Joseph Medical Center, Houston, Texas). Although a single dermatopathology site was used for this study, multiple dermatologists were involved in the final treatment of these patients. Patients with benign scores who received additional intervention were excluded, as they may have a lower rate of adverse events (ie, metastasis) than those who did not receive intervention and would therefore skew the analysis population. A total of 25 patients from the prior study met these inclusion criteria. The previously collected12 pretest and posttest de-identified data were compiled from the commercial laboratory databases, and the patients were followed from the time of testing via medical record review performed by the dermatology providers at participating sites. Clinical follow-up data were collected using study-specific case report forms (CRFs) that captured the following: (1) the dates and results of clinical follow-up visits; (2) the type(s) of treatment and interventions (if any) performed at those visits; (3) the specific indication for any intervention performed; (4) any evidence of persistent, locally recurrent, and/or distant melanocytic neoplasia (whether definitively attributable to the tested lesion or not); and (5) death from any cause. The CRF assigned interventions to 1 of 5 categories: excision, excision with sentinel lymph node biopsy, referral to dermatologic or other surgeon, examination only (without surgical intervention), and other. Selection of other required a free-text description of the treatment and indications. Pertinent information not otherwise captured by the CRF also was recordable as free text.

Gene Expression Testing
Gene expression testing was carried out at the time of specimen submission in the prior study12 as described previously.14 Briefly, formalin-fixed, paraffin-embedded, unstained tissue sections and/or tissue blocks were submitted for testing along with a single hematoxylin and eosin–stained slide used to identify and designate the representative portion(s) of the lesion to be tested. These areas were macrodissected from unstained tissue sections and pooled for RNA extraction. Expression of 14 biomarker genes and 9 reference genes was measured via quantitative reverse transcription–polymerase chain reaction, performed in triplicate for each individual gene. The assay score was generated through application of a weighted algorithm to the expression values generated through quantitative reverse transcription–polymerase chain reaction. Scores were plotted on a scale ranging from 16.7 to 11.1, with scores from 0.0 to 11.1 classified as malignant, scores from 16.7 to 2.1 as benign, and scores from 2.1 to 0.1 as indeterminate.



Statistical Analysis
Demographic and other baseline characteristics of the patient population were summarized. Follow-up time was calculated as the interval between the date a patient’s gene expression test result was first issued to the provider and the date of the patient’s last recorded visit during the study period. All patient dermatology office visits within the designated follow-up period were documented, with a nonstandard number of visits and follow-up time across all study patients. Statistical analyses were conducted using SAS software (SAS Institute Inc), R software version 3.5.0 (R Foundation for Statistical Computing), and IBM SPSS Statistics software (IBM SPSS Statistics for Windows, Version 25).

 

 

Results

Patient Sample
A total of 25 ambiguous melanocytic neoplasms from 25 patients met the study inclusion criteria of a benign gene expression result with subsequent treatment as a benign neoplasm during follow-up. The patient sample statistics are summarized in Table 1. Most patients were younger than 65 years, with an average age at the time of biopsy of 48.4 years. All 25 neoplasms produced negative (benign) gene expression signature scores, all were diagnosed as benign nevi posttest by the submitting dermatopathologist, and all patients were initially treated in accordance with the benign diagnosis by the dermatologist(s) involved in clinical follow-up care. Prior to testing with the gene expression signature, most of these histopathologically indeterminate lesions received differential diagnoses, the most common of which were dysplastic nevus (84%), melanoma arising from a nevus (72%), and superficial spreading melanoma (64%; eTable). After testing with the gene expression signature and receiving a benign score, most lesions received a single differential diagnosis of dysplastic nevus (88%).

Follow-up and Survival
Clinical follow-up time ranged from 0.6 to 53.3 months, with a mean duration (SD) of 38.5 (16.6) months, and patients attended an average of 4 postbiopsy dermatology appointments (mean [SD], 4.6 [3.6]). According to the participating dermatology care providers, none of the 25 patients developed any indication during follow-up that the diagnosis of benign nevus was inaccurate. No patient had evidence of locally recurrent or metastatic melanoma, and none died during the study period.



Treatment/Interventions
The treatment recorded in the CRF was examination only for 21 of 25 patients, excision for 3, and other for 1 (Table 2). Because the explanation for the selection of other in this case described an excision performed at the same anatomic location as the biopsy, this treatment also was considered an excision for purposes of the study analyses. The 3 excisions all occurred at the first postbiopsy dermatology encounter. Across all follow-up visits, no additional surgical interventions occurred (Table 2).



The first excision (case 1) involved a 67-year-old woman with a lesion on the mid pubic region described clinically as an atypical nevus that generated a pretest histopathologic differential diagnosis including dysplastic nevus, superficial spreading melanoma, and melanoma arising within a nevus (Table 3; Figure, A and B). The gene expression test result was benign (score, 5.4), and the final pathology report diagnosis was nevus with junctional dysplasia, moderate. Surgical excision was performed at the patient’s first return visit, 505 days after initial diagnosis, with moderately dysplastic nevus as the recorded indication for removal. No repigmentation or other evidence of local recurrence or progression was detected, and the treating dermatologist indicated no suspicion that the original diagnosis of benign nevus was incorrect during the 23-month follow-up period.


Histopathologic features of the 3 melanocytic neoplasms that were excised during the study follow-up period. The histopathologic differential diagnosis for each case included dysplastic nevus, superficial spreading melanoma, and melanoma arising within a preexisting nevus. All were classified as benign by the gene expression signature. For each, the indication for excision was patient or physician preference. A and B, Case 1 (a 67-year-old woman with a lesion on the mid pubic region)(H&E, original magnifications ×10 and ×100). C and D, Case 2 (a 27-year-old woman with a lesion on the back)(H&E, original magnifications ×10 and ×100). E and F, Case 3 (a 32-year-old woman with a lesion on the abdomen)(H&E, original magnifications ×10 and ×40).

The second excision (case 2) involved a 27-year-old woman with a pigmented neoplasm on the mid upper back (Figure, C and D) biopsied to rule out dysplastic nevus that resulted in a pretest histopathologic differential diagnosis of dysplastic nevus vs superficial spreading melanoma or melanoma arising within a nevus. The gene expression test result classified the lesion as benign (score, 2.9), and the final pathology diagnosis was nevus, compound, with moderate dysplasia. Despite the benign diagnosis, residual neoplasm (or pigmentation) at the biopsy site prompted the patient to request excision at her first postbiopsy visit, 22 days after testing (Table 3). The CRF completed by the dermatologist reported no indication that the benign diagnosis was inaccurate, but the patient was subsequently lost to follow-up.



The third excision (case 3) involved a 32-year-old woman with a pigmented lesion on the abdomen (Table 3; Figure, E and F). The clinical description was irregular-appearing black papule, nevus with atypia, and the histopathologic differential diagnosis again included dysplastic nevus, superficial spreading melanoma, and melanoma arising within a preexisting nevus. The gene expression signature result was benign (score, 7.2), and the final diagnosis issued within the accompanying pathology report was nevus with moderate junctional dysplasia. Despite the benign diagnosis, excision was performed 89 days after test result availability, with apparent residual pigmentation as the specified indication. As with the other 2 cases, the treating dermatologist confirmed that neither clinical features nor follow-up events suggested malignancy.

Comment

This study followed a cohort of 25 patients with histopathologically ambiguous melanocytic neoplasms that were classified as benign by a diagnostic gene expression test with the intent of determining the outcomes of patients whose treatment aligned with their benign test result. All patients initially were managed according to their test result. During an average posttest clinical follow-up time of more than 3 years (38.5 months), the 25 biopsied lesions, most of which received a differential diagnosis of dysplastic nevus, were regarded as benign nevi by their dermatologists, and the vast majority (88%) received no further surgical intervention. Three patients underwent subsequent excision of the biopsied lesion, with patient or physician preference as the indication in each instance. None of the 25 patients developed evidence of local recurrence, metastasis, or other findings that prompted doubt of the benign diagnosis. The absence of adverse events during clinical follow-up, particularly given that most lesions were not subjected to further intervention, supports use of the gene expression test as a safe and effective adjunct to the diagnosis and treatment of ambiguous melanocytic neoplasms by dermatologists and dermatopathologists.

 

 

Ambiguous melanocytic neoplasms evaluated without the aid of molecular adjuncts often result in equivocal or less-than-definitive diagnoses, and further surgical intervention is commonly undertaken to mitigate against the possibility of a missed melanoma.13 In this study, treatment that was aligned with the benign test result allowed most patients to avoid further surgical intervention, which suggests that adjunctive use of the gene signature can contribute to reductions in the physical and economic burdens imposed by unnecessary surgical interventions.15,16 Moreover, any means of increasing accurate and definitive diagnoses may produce an immediate impact on health outcomes by reducing the anxiety that uncertainty often provokes in patients and health care providers alike.

Study Limitations
This study must be interpreted within the context of its limitations. Obtaining meaningful patient outcome data is a common challenge in health care research due to the requisite length of follow-up and sometimes the lack of definitive evidence of adverse events. This is particularly difficult for melanocytic neoplasms because of an apparent inclination for patients with benign diagnoses to abandon follow-up and an increasing tendency for even minimal diagnostic uncertainty to prompt complete excision. Additionally, the only definitive clinical outcome for melanocytic neoplasms is distant metastasis, which (fortunately for patients) is relatively rare. Not surprisingly, studies documenting clinical outcomes of patients with ambiguous melanocytic neoplasms tested prospectively with diagnostic adjuncts are scarce, and this study’s sample size and clinical follow-up compare favorably with the few that exist.17,18 Although most melanomas declare themselves through recurrence or metastasis within several years of initial biopsy,1,19 some are clinically dormant for as long as 10 years after initial detection.20,21 This may be particularly true for the small or early-stage lesions that now comprise the majority of biopsied neoplasms, and such events would go undetected by this study and many others. It also must be recognized that uneventful follow-up, regardless of duration, cannot prove that a biopsied melanocytic neoplasm was benign. Although only 5 patients had a follow-up time of less than 2 years (the time frame in which most recurrence or metastasis will occur), it cannot be definitively proven that a minimum of 2 years recurrence- or metastasis-free survival indicates a benign lesion. Many early-stage malignant melanomas are eradicated by complete excision or even by the initial biopsy if margins are uninvolved.

Because these limitations are intrinsic to melanocytic neoplasms and current management strategies, they pertain to all investigations seeking insights into biological potential through clinical outcomes. Similarly, all current diagnostic tools and procedures have the potential for sampling error, including histopathology. The rarity of adverse outcomes (recurrence and metastasis) in patients with benign test results within this cohort indicates that false-negative results are uncommon, which is further evidenced by a similar rarity of adverse events in prior studies of the gene expression signature.8-10,22 A particular strength of this study is that most of the ambiguous melanocytic neoplasms followed did not undergo excision after the initial biopsy, an increasingly uncommon situation that may increase their likelihood to be informative.



It must be emphasized that the gene expression test, similar to other diagnostic adjuncts, is neither a replacement for histopathologic interpretation nor a substitute for judgment. As with all tests, it can produce false-positive and false-negative results. Therefore, it should always be interpreted within the constellation of the many other data points that must be considered when making a distinction between benign nevus and malignant melanoma, including but not limited to patient age, family and personal history of melanoma, anatomic location, clinical features, and histopathologic findings. As is the case for many diseases, careful consideration of all relevant input is necessary to minimize the risk of misdiagnosis that might occur should any single data point prove inaccurate, including the results of adjunctive molecular tests.

Conclusion

Ancillary methods are emerging as useful tools for the diagnostic evaluation of melanocytic neoplasms that cannot be assigned definitive diagnoses using traditional techniques alone. This study suggests that patients with ambiguous melanocytic neoplasms may benefit from diagnoses and treatment decisions aligned with the results of a gene expression test, and that for those with a benign result, simple observation may be a safe alternative to surgical excision. This expands upon prior observations of the test’s influence on diagnoses and treatment decisions and supports its role as part of dermatopathologists’ and dermatologists’ decision-making process for histopathologically ambiguous melanocytic lesions.

According to National Institutes of Health estimates, more than 90,000 new cases of melanoma were diagnosed in 2018.1 Overall 5-year survival for patients with melanoma exceeds 90%, but individual survival estimates are highly dependent on stage at diagnosis, and survival decreases markedly with metastasis. Therefore, early and accurate diagnosis is critical.

Diagnosis of melanocytic neoplasms usually is performed by dermatopathologists through microscopic examination of stained tissue biopsy sections, a technically simple and effective method that enables a definitive diagnosis of benign nevus or malignant melanoma to be made in most cases. However, approximately 15% of all biopsied melanocytic lesions will exhibit some degree of histopathologic ambiguity,2-4 meaning that some of their microscopic features will be characteristic of a benign nevus while others will suggest the possibility of malignant melanoma. Diagnostic interpretations often vary in these cases, even among experts, and a definitive diagnosis of benign or malignant may be difficult to achieve by microscopy alone.2-4 Because of the marked reduction in survival once a melanoma has metastasized, these diagnostically ambiguous lesions often are treated as possible malignant melanomas with complete surgical excision (or re-excision). However, some experts suggest that many histopathologically ambiguous melanocytic neoplasms are, in fact, benign,5 a notion supported by epidemiologic evidence.6,7 Therefore, excision of many ambiguous melanocytic neoplasms might be avoided if definitive diagnosis could be achieved.

A gene expression signature was developed and validated for use as an adjunct to traditional methods of differentiating malignant melanocytic neoplasms from their benign counterparts.8-11 This test quantifies the RNA transcripts produced by 14 genes known to be overexpressed in malignant melanomas by comparison to benign nevi. These values are then combined algorithmically with measurements of 9 reference genes to produce an objective numerical score that is classified as benign, malignant, or indeterminate. When used by board-certified dermatopathologists and dermatologists confronting ambiguous melanocytic lesions, the test produces substantial increases in definitive diagnoses and prompts changes in treatment recommendations.12,13 However, the long-term consequences of foregoing surgical excision of melanocytic neoplasms that are diagnostically ambiguous but classified as benign by this test have not yet been formally assessed. In the current study, prospectively tested patients whose ambiguous melanocytic neoplasms were classified as benign by the gene expression signature were followed for up to 4.5 years to evaluate the long-term safety of treatment decisions aligned with benign test results.

Methods

Study Population
As part of a prior study,12 US-based dermatopathologists submitted tissue sections from biopsied melanocytic neoplasms determined to be diagnostically ambiguous by histopathology for analysis with the gene expression signature (Myriad Genetics, Inc). Diagnostically ambiguous lesions were those lesions that were described as ambiguous, uncertain, equivocal, indeterminate, or other synonymous terms by the submitting dermatopathologist and therefore lacked a confident diagnosis of benign or malignant prior to testing. Patients initially were tested between May 2014 and August 2014, with samples submitted through a prospective clinical experience study designed to assess the impact of the test on diagnosis and treatment decisions. This study was performed under an institutional review board waiver of consent (Quorum #33403/1).

Patients were eligible for inclusion in the current study if their biopsy specimens (1) had an uncertain preliminary diagnosis according to the submitting dermatopathologist (pretest diagnosis of indeterminate); (2) received a negative (benign) score from the gene expression test; (3) were treated as benign by the dermatologist(s) involved in follow-up care; and (4) were submitted by a single site (St. Joseph Medical Center, Houston, Texas). Although a single dermatopathology site was used for this study, multiple dermatologists were involved in the final treatment of these patients. Patients with benign scores who received additional intervention were excluded, as they may have a lower rate of adverse events (ie, metastasis) than those who did not receive intervention and would therefore skew the analysis population. A total of 25 patients from the prior study met these inclusion criteria. The previously collected12 pretest and posttest de-identified data were compiled from the commercial laboratory databases, and the patients were followed from the time of testing via medical record review performed by the dermatology providers at participating sites. Clinical follow-up data were collected using study-specific case report forms (CRFs) that captured the following: (1) the dates and results of clinical follow-up visits; (2) the type(s) of treatment and interventions (if any) performed at those visits; (3) the specific indication for any intervention performed; (4) any evidence of persistent, locally recurrent, and/or distant melanocytic neoplasia (whether definitively attributable to the tested lesion or not); and (5) death from any cause. The CRF assigned interventions to 1 of 5 categories: excision, excision with sentinel lymph node biopsy, referral to dermatologic or other surgeon, examination only (without surgical intervention), and other. Selection of other required a free-text description of the treatment and indications. Pertinent information not otherwise captured by the CRF also was recordable as free text.

Gene Expression Testing
Gene expression testing was carried out at the time of specimen submission in the prior study12 as described previously.14 Briefly, formalin-fixed, paraffin-embedded, unstained tissue sections and/or tissue blocks were submitted for testing along with a single hematoxylin and eosin–stained slide used to identify and designate the representative portion(s) of the lesion to be tested. These areas were macrodissected from unstained tissue sections and pooled for RNA extraction. Expression of 14 biomarker genes and 9 reference genes was measured via quantitative reverse transcription–polymerase chain reaction, performed in triplicate for each individual gene. The assay score was generated through application of a weighted algorithm to the expression values generated through quantitative reverse transcription–polymerase chain reaction. Scores were plotted on a scale ranging from 16.7 to 11.1, with scores from 0.0 to 11.1 classified as malignant, scores from 16.7 to 2.1 as benign, and scores from 2.1 to 0.1 as indeterminate.



Statistical Analysis
Demographic and other baseline characteristics of the patient population were summarized. Follow-up time was calculated as the interval between the date a patient’s gene expression test result was first issued to the provider and the date of the patient’s last recorded visit during the study period. All patient dermatology office visits within the designated follow-up period were documented, with a nonstandard number of visits and follow-up time across all study patients. Statistical analyses were conducted using SAS software (SAS Institute Inc), R software version 3.5.0 (R Foundation for Statistical Computing), and IBM SPSS Statistics software (IBM SPSS Statistics for Windows, Version 25).

 

 

Results

Patient Sample
A total of 25 ambiguous melanocytic neoplasms from 25 patients met the study inclusion criteria of a benign gene expression result with subsequent treatment as a benign neoplasm during follow-up. The patient sample statistics are summarized in Table 1. Most patients were younger than 65 years, with an average age at the time of biopsy of 48.4 years. All 25 neoplasms produced negative (benign) gene expression signature scores, all were diagnosed as benign nevi posttest by the submitting dermatopathologist, and all patients were initially treated in accordance with the benign diagnosis by the dermatologist(s) involved in clinical follow-up care. Prior to testing with the gene expression signature, most of these histopathologically indeterminate lesions received differential diagnoses, the most common of which were dysplastic nevus (84%), melanoma arising from a nevus (72%), and superficial spreading melanoma (64%; eTable). After testing with the gene expression signature and receiving a benign score, most lesions received a single differential diagnosis of dysplastic nevus (88%).

Follow-up and Survival
Clinical follow-up time ranged from 0.6 to 53.3 months, with a mean duration (SD) of 38.5 (16.6) months, and patients attended an average of 4 postbiopsy dermatology appointments (mean [SD], 4.6 [3.6]). According to the participating dermatology care providers, none of the 25 patients developed any indication during follow-up that the diagnosis of benign nevus was inaccurate. No patient had evidence of locally recurrent or metastatic melanoma, and none died during the study period.



Treatment/Interventions
The treatment recorded in the CRF was examination only for 21 of 25 patients, excision for 3, and other for 1 (Table 2). Because the explanation for the selection of other in this case described an excision performed at the same anatomic location as the biopsy, this treatment also was considered an excision for purposes of the study analyses. The 3 excisions all occurred at the first postbiopsy dermatology encounter. Across all follow-up visits, no additional surgical interventions occurred (Table 2).



The first excision (case 1) involved a 67-year-old woman with a lesion on the mid pubic region described clinically as an atypical nevus that generated a pretest histopathologic differential diagnosis including dysplastic nevus, superficial spreading melanoma, and melanoma arising within a nevus (Table 3; Figure, A and B). The gene expression test result was benign (score, 5.4), and the final pathology report diagnosis was nevus with junctional dysplasia, moderate. Surgical excision was performed at the patient’s first return visit, 505 days after initial diagnosis, with moderately dysplastic nevus as the recorded indication for removal. No repigmentation or other evidence of local recurrence or progression was detected, and the treating dermatologist indicated no suspicion that the original diagnosis of benign nevus was incorrect during the 23-month follow-up period.


Histopathologic features of the 3 melanocytic neoplasms that were excised during the study follow-up period. The histopathologic differential diagnosis for each case included dysplastic nevus, superficial spreading melanoma, and melanoma arising within a preexisting nevus. All were classified as benign by the gene expression signature. For each, the indication for excision was patient or physician preference. A and B, Case 1 (a 67-year-old woman with a lesion on the mid pubic region)(H&E, original magnifications ×10 and ×100). C and D, Case 2 (a 27-year-old woman with a lesion on the back)(H&E, original magnifications ×10 and ×100). E and F, Case 3 (a 32-year-old woman with a lesion on the abdomen)(H&E, original magnifications ×10 and ×40).

The second excision (case 2) involved a 27-year-old woman with a pigmented neoplasm on the mid upper back (Figure, C and D) biopsied to rule out dysplastic nevus that resulted in a pretest histopathologic differential diagnosis of dysplastic nevus vs superficial spreading melanoma or melanoma arising within a nevus. The gene expression test result classified the lesion as benign (score, 2.9), and the final pathology diagnosis was nevus, compound, with moderate dysplasia. Despite the benign diagnosis, residual neoplasm (or pigmentation) at the biopsy site prompted the patient to request excision at her first postbiopsy visit, 22 days after testing (Table 3). The CRF completed by the dermatologist reported no indication that the benign diagnosis was inaccurate, but the patient was subsequently lost to follow-up.



The third excision (case 3) involved a 32-year-old woman with a pigmented lesion on the abdomen (Table 3; Figure, E and F). The clinical description was irregular-appearing black papule, nevus with atypia, and the histopathologic differential diagnosis again included dysplastic nevus, superficial spreading melanoma, and melanoma arising within a preexisting nevus. The gene expression signature result was benign (score, 7.2), and the final diagnosis issued within the accompanying pathology report was nevus with moderate junctional dysplasia. Despite the benign diagnosis, excision was performed 89 days after test result availability, with apparent residual pigmentation as the specified indication. As with the other 2 cases, the treating dermatologist confirmed that neither clinical features nor follow-up events suggested malignancy.

Comment

This study followed a cohort of 25 patients with histopathologically ambiguous melanocytic neoplasms that were classified as benign by a diagnostic gene expression test with the intent of determining the outcomes of patients whose treatment aligned with their benign test result. All patients initially were managed according to their test result. During an average posttest clinical follow-up time of more than 3 years (38.5 months), the 25 biopsied lesions, most of which received a differential diagnosis of dysplastic nevus, were regarded as benign nevi by their dermatologists, and the vast majority (88%) received no further surgical intervention. Three patients underwent subsequent excision of the biopsied lesion, with patient or physician preference as the indication in each instance. None of the 25 patients developed evidence of local recurrence, metastasis, or other findings that prompted doubt of the benign diagnosis. The absence of adverse events during clinical follow-up, particularly given that most lesions were not subjected to further intervention, supports use of the gene expression test as a safe and effective adjunct to the diagnosis and treatment of ambiguous melanocytic neoplasms by dermatologists and dermatopathologists.

 

 

Ambiguous melanocytic neoplasms evaluated without the aid of molecular adjuncts often result in equivocal or less-than-definitive diagnoses, and further surgical intervention is commonly undertaken to mitigate against the possibility of a missed melanoma.13 In this study, treatment that was aligned with the benign test result allowed most patients to avoid further surgical intervention, which suggests that adjunctive use of the gene signature can contribute to reductions in the physical and economic burdens imposed by unnecessary surgical interventions.15,16 Moreover, any means of increasing accurate and definitive diagnoses may produce an immediate impact on health outcomes by reducing the anxiety that uncertainty often provokes in patients and health care providers alike.

Study Limitations
This study must be interpreted within the context of its limitations. Obtaining meaningful patient outcome data is a common challenge in health care research due to the requisite length of follow-up and sometimes the lack of definitive evidence of adverse events. This is particularly difficult for melanocytic neoplasms because of an apparent inclination for patients with benign diagnoses to abandon follow-up and an increasing tendency for even minimal diagnostic uncertainty to prompt complete excision. Additionally, the only definitive clinical outcome for melanocytic neoplasms is distant metastasis, which (fortunately for patients) is relatively rare. Not surprisingly, studies documenting clinical outcomes of patients with ambiguous melanocytic neoplasms tested prospectively with diagnostic adjuncts are scarce, and this study’s sample size and clinical follow-up compare favorably with the few that exist.17,18 Although most melanomas declare themselves through recurrence or metastasis within several years of initial biopsy,1,19 some are clinically dormant for as long as 10 years after initial detection.20,21 This may be particularly true for the small or early-stage lesions that now comprise the majority of biopsied neoplasms, and such events would go undetected by this study and many others. It also must be recognized that uneventful follow-up, regardless of duration, cannot prove that a biopsied melanocytic neoplasm was benign. Although only 5 patients had a follow-up time of less than 2 years (the time frame in which most recurrence or metastasis will occur), it cannot be definitively proven that a minimum of 2 years recurrence- or metastasis-free survival indicates a benign lesion. Many early-stage malignant melanomas are eradicated by complete excision or even by the initial biopsy if margins are uninvolved.

Because these limitations are intrinsic to melanocytic neoplasms and current management strategies, they pertain to all investigations seeking insights into biological potential through clinical outcomes. Similarly, all current diagnostic tools and procedures have the potential for sampling error, including histopathology. The rarity of adverse outcomes (recurrence and metastasis) in patients with benign test results within this cohort indicates that false-negative results are uncommon, which is further evidenced by a similar rarity of adverse events in prior studies of the gene expression signature.8-10,22 A particular strength of this study is that most of the ambiguous melanocytic neoplasms followed did not undergo excision after the initial biopsy, an increasingly uncommon situation that may increase their likelihood to be informative.



It must be emphasized that the gene expression test, similar to other diagnostic adjuncts, is neither a replacement for histopathologic interpretation nor a substitute for judgment. As with all tests, it can produce false-positive and false-negative results. Therefore, it should always be interpreted within the constellation of the many other data points that must be considered when making a distinction between benign nevus and malignant melanoma, including but not limited to patient age, family and personal history of melanoma, anatomic location, clinical features, and histopathologic findings. As is the case for many diseases, careful consideration of all relevant input is necessary to minimize the risk of misdiagnosis that might occur should any single data point prove inaccurate, including the results of adjunctive molecular tests.

Conclusion

Ancillary methods are emerging as useful tools for the diagnostic evaluation of melanocytic neoplasms that cannot be assigned definitive diagnoses using traditional techniques alone. This study suggests that patients with ambiguous melanocytic neoplasms may benefit from diagnoses and treatment decisions aligned with the results of a gene expression test, and that for those with a benign result, simple observation may be a safe alternative to surgical excision. This expands upon prior observations of the test’s influence on diagnoses and treatment decisions and supports its role as part of dermatopathologists’ and dermatologists’ decision-making process for histopathologically ambiguous melanocytic lesions.

References
  1. Noone AM, Howlander N, Krapcho M, et al, eds. SEER Cancer Statistics Review, 1975-2015. National Cancer Institute website. Updated September 10, 2018. Accessed April 21, 2021. https://seer.cancer.gov/archive/csr/1975_2015/
  2. Shoo BA, Sagebiel RW, Kashani-Sabet M. Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center. J Am Acad Dermatol. 2010;62:751-756.
  3. Veenhuizen KC, De Wit PE, Mooi WJ, et al. Quality assessment by expert opinion in melanoma pathology: experience of the pathology panel of the Dutch Melanoma Working Party. J Pathol. 1997;182:266-272.
  4. Elmore JG, Barnhill RL, Elder DE, et al. Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study. BMJ. 2017;357:j2813. doi:10.1136/bmj.j2813
  5. Glusac EJ. The melanoma ‘epidemic’, a dermatopathologist’s perspective. J Cutan Pathol. 2011;38:264-267.
  6. Welch HG, Woloshin S, Schwartz LM. Skin biopsy rates and incidence of melanoma: population based ecological study. BMJ. 2005;331:481.
  7. Swerlick RA, Chen S. The melanoma epidemic. Is increased surveillance the solution or the problem? Arch Dermatol. 1996;132:881-884.
  8. Ko JS, Matharoo-Ball B, Billings SD, et al. Diagnostic distinction of malignant melanoma and benign nevi by a gene expression signature and correlation to clinical outcomes. Cancer Epidemiol Biomarkers Prev. 2017;26:1107-1113.
  9. Clarke LE, Flake DD 2nd, Busam K, et al. An independent validation of a gene expression signature to differentiate malignant melanoma from benign melanocytic nevi. Cancer. 2017;123:617-628.
  10. Clarke LE, Warf BM, Flake DD 2nd, et al. Clinical validation of a gene expression signature that differentiates benign nevi from malignant melanoma. J Cutan Pathol. 2015;42:244-252.
  11. Minca EC, Al-Rohil RN, Wang M, et al. Comparison between melanoma gene expression score and fluorescence in situ hybridization for the classification of melanocytic lesions. Mod Pathol. 2016;29:832-843.
  12. Cockerell CJ, Tschen J, Evans B, et al. The influence of a gene expression signature on the diagnosis and recommended treatment of melanocytic tumors by dermatopathologists. Medicine (Baltimore). 2016;95:e4887. doi:10.1097/MD.0000000000004887
  13. Cockerell C, Tschen J, Billings SD, et al. The influence of a gene-expression signature on the treatment of diagnostically challenging melanocytic lesions. Per Med. 2017;14:123-130.
  14. Warf MB, Flake DD 2nd, Adams D, et al. Analytical validation of a melanoma diagnostic gene signature using formalin-fixed paraffin-embedded melanocytic lesions. Biomark Med. 2015;9:407-416.
  15. Guy GP Jr, Ekwueme DU, Tangka FK, et al. Melanoma treatment costs: a systematic review of the literature, 1990-2011. Am J Prev Med. 2012;43:537-545.
  16. Guy GP Jr, Machlin SR, Ekwueme DU, et al. Prevalence and costs of skin cancer treatment in the U.S., 2002-2006 and 2007-2011. Am J Prev Med. 2015;48:183-187.
  17. Egnatios GL, Ferringer TC. Clinical follow-up of atypical spitzoid tumors analyzed by fluorescence in situ hybridization. Am J Dermatopathol. 2016;38:289-296.
  18. Fischer AS, High WA. The difficulty in interpreting gene expression profiling in BAP-negative melanocytic tumors. J Cutan Pathol. 2018;45:659-666. doi:10.1111/cup.13277
  19. Vollmer RT. The dynamics of death in melanoma. J Cutan Pathol. 2012;39:1075-1082.
  20. Osella-Abate S, Ribero S, Sanlorenzo M, et al. Risk factors related to late metastases in 1,372 melanoma patients disease free more than 10 years. Int J Cancer. 2015;136:2453-2457.
  21. Faries MB, Steen S, Ye X, et al. Late recurrence in melanoma: clinical implications of lost dormancy. J Am Coll Surg. 2013;217:27-34.
  22. Ko JS, Clarke LE, Minca EC, et al. Correlation of melanoma gene expression score with clinical outcomes on a series of melanocytic lesions. Hum Pathol. 2019;86:213-221.
References
  1. Noone AM, Howlander N, Krapcho M, et al, eds. SEER Cancer Statistics Review, 1975-2015. National Cancer Institute website. Updated September 10, 2018. Accessed April 21, 2021. https://seer.cancer.gov/archive/csr/1975_2015/
  2. Shoo BA, Sagebiel RW, Kashani-Sabet M. Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center. J Am Acad Dermatol. 2010;62:751-756.
  3. Veenhuizen KC, De Wit PE, Mooi WJ, et al. Quality assessment by expert opinion in melanoma pathology: experience of the pathology panel of the Dutch Melanoma Working Party. J Pathol. 1997;182:266-272.
  4. Elmore JG, Barnhill RL, Elder DE, et al. Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study. BMJ. 2017;357:j2813. doi:10.1136/bmj.j2813
  5. Glusac EJ. The melanoma ‘epidemic’, a dermatopathologist’s perspective. J Cutan Pathol. 2011;38:264-267.
  6. Welch HG, Woloshin S, Schwartz LM. Skin biopsy rates and incidence of melanoma: population based ecological study. BMJ. 2005;331:481.
  7. Swerlick RA, Chen S. The melanoma epidemic. Is increased surveillance the solution or the problem? Arch Dermatol. 1996;132:881-884.
  8. Ko JS, Matharoo-Ball B, Billings SD, et al. Diagnostic distinction of malignant melanoma and benign nevi by a gene expression signature and correlation to clinical outcomes. Cancer Epidemiol Biomarkers Prev. 2017;26:1107-1113.
  9. Clarke LE, Flake DD 2nd, Busam K, et al. An independent validation of a gene expression signature to differentiate malignant melanoma from benign melanocytic nevi. Cancer. 2017;123:617-628.
  10. Clarke LE, Warf BM, Flake DD 2nd, et al. Clinical validation of a gene expression signature that differentiates benign nevi from malignant melanoma. J Cutan Pathol. 2015;42:244-252.
  11. Minca EC, Al-Rohil RN, Wang M, et al. Comparison between melanoma gene expression score and fluorescence in situ hybridization for the classification of melanocytic lesions. Mod Pathol. 2016;29:832-843.
  12. Cockerell CJ, Tschen J, Evans B, et al. The influence of a gene expression signature on the diagnosis and recommended treatment of melanocytic tumors by dermatopathologists. Medicine (Baltimore). 2016;95:e4887. doi:10.1097/MD.0000000000004887
  13. Cockerell C, Tschen J, Billings SD, et al. The influence of a gene-expression signature on the treatment of diagnostically challenging melanocytic lesions. Per Med. 2017;14:123-130.
  14. Warf MB, Flake DD 2nd, Adams D, et al. Analytical validation of a melanoma diagnostic gene signature using formalin-fixed paraffin-embedded melanocytic lesions. Biomark Med. 2015;9:407-416.
  15. Guy GP Jr, Ekwueme DU, Tangka FK, et al. Melanoma treatment costs: a systematic review of the literature, 1990-2011. Am J Prev Med. 2012;43:537-545.
  16. Guy GP Jr, Machlin SR, Ekwueme DU, et al. Prevalence and costs of skin cancer treatment in the U.S., 2002-2006 and 2007-2011. Am J Prev Med. 2015;48:183-187.
  17. Egnatios GL, Ferringer TC. Clinical follow-up of atypical spitzoid tumors analyzed by fluorescence in situ hybridization. Am J Dermatopathol. 2016;38:289-296.
  18. Fischer AS, High WA. The difficulty in interpreting gene expression profiling in BAP-negative melanocytic tumors. J Cutan Pathol. 2018;45:659-666. doi:10.1111/cup.13277
  19. Vollmer RT. The dynamics of death in melanoma. J Cutan Pathol. 2012;39:1075-1082.
  20. Osella-Abate S, Ribero S, Sanlorenzo M, et al. Risk factors related to late metastases in 1,372 melanoma patients disease free more than 10 years. Int J Cancer. 2015;136:2453-2457.
  21. Faries MB, Steen S, Ye X, et al. Late recurrence in melanoma: clinical implications of lost dormancy. J Am Coll Surg. 2013;217:27-34.
  22. Ko JS, Clarke LE, Minca EC, et al. Correlation of melanoma gene expression score with clinical outcomes on a series of melanocytic lesions. Hum Pathol. 2019;86:213-221.
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Tanning Attitudes and Behaviors in Adolescents and Young Adults

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Intentional tanning—through sun exposure and tanning beds—is an easily avoidable contributor to skin cancer development and an important area for public education. Since the advent of social media, a correlation between social media use and increased indoor tanning behaviors has been reported.1 In 2010, 11.3% of US adults aged 18 to 29 years reported using a tanning bed in the last 12 months.2 The American Academy of Dermatology first published their “Position Statement on Indoor Tanning” in 1998, endorsing a ban on the sale of indoor tanning equipment for nonmedical purposes.3

Although there has been no outright ban on indoor tanning, regulations have been put in place in many states—including Texas, where (as of 2013) a person younger than 18 years must have written consent from their parent(s) to use a tanning bed. Despite efforts of organizations including the American Academy of Dermatology and the government to educate the public on skin cancer prevention and sun safety, the skin cancer rate has been steadily increasing over the last 20 years.

There is a constant campaign among dermatologists to educate their patients on how to reduce or avoid the risk for skin cancer, including the use of sunscreen and avoidance of tanning. Adolescents and young adults are an especially important demographic to reach and educate because increased UV light exposure during these years leads to a greatly increased risk for skin cancer later in life.4 Data on the overall prevalence of tanning and the demographics of participation in tanning activities are important to capture and can be used to efficiently target higher-risk populations.

In this study, we aimed to investigate the attitudes and behaviors of adolescents and young adults regarding sun protection and tanning. We also aimed to determine which avenues, including social media, would be most effective at educating about skin cancer awareness and sun protection to the higher-risk younger population.

Materials and Methods

We developed an institutional review board–approved protocol for the prospective collection of data from registered patients at the dermatology clinic of the Mays Cancer Center at the University of Texas Health at San Antonio. A paper survey containing 15 rating-scale questions was administered to 60 patients aged 13 to 27 years. Surveys were administered during intake, prior to the patients’ visit with a dermatologist; all visits were of a functional (not cosmetic) nature. Data collection spanned June to August 2018. Survey results were entered into Research Electronic Data Capture (REDCap) software for qualitative analysis.

Results

Sixty patients responded to the survey. The mean age of respondents was 19.5 years. No surveys were excluded from the data set. Table 1 provides baseline characteristics of respondents. Some respondents left questions unanswered, resulting in questions with fewer than 60 responses.

Among respondents to the survey, 70% (42/60) reported it is very important to protect their skin from sun exposure, and 30% (18/60) reported it is somewhat important. Regarding sunscreen use, 70% (42/60) indicated they use sunscreen only before outdoor activities, 12% (7/60) use sunscreen daily, and 17% (10/60) never use sunscreen. Of those who use sunscreen, 52% (28/54) do so to prevent skin damage and aging and 44% (24/54) to prevent skin cancer. Twenty-three percent (13/56) of respondents reported finding tanned skin attractive; 26% (14/55) reported wanting to be tan. Looking at race, 28% (10/36) of Whites, 25% (5/20) of Spanish/Hispanic/Latinos, and 22% (2/9) of Asians found tanned skin attractive; no Black respondents found tanned skin attractive.

 

 



Regarding tanning, 12% (7/57) reported using a tanning bed in their lifetime and 4% (2/57) in the last year; 34% (19/56) reported deliberately tanning outdoors; and 9% (5/56) reported using sunless or spray-on tanning. Dermatologists (75% [42/56]), primary care physicians (69.6% [39/56]), and parents (46.4% [26/56]) were perceived as more effective sources of skin care education; among media modalities, television (33.9% [19/56]), Instagram (30.4% [17/60]), and YouTube (23.2% [13/60]) were perceived as more effective sources of skin care education (Table 2).

Comment

Perceptions of Tanning
Almost one-quarter of respondents found tanned skin attractive, which might reflect a shift from prior generations. Compared to the 11% of respondents in the 2010 survey,2 only 3.5% (2/57) of our respondents reported using a tanning bed in the last year, which could reflect the results of recent Texas legislation restricting the use of tanning beds by adolescents.

An alarming number of respondents reported going outdoors with the intention of tanning; although it appears that indoor tanning education has been successful, this finding shows that there is still a need for sun protection education because outdoor tanning is not a suitable alternative. A small number of respondents reported getting a sunless or spray-on tan, which is a risk-free alternative to indoor tanning.

Despite all respondents stating that protecting skin from the sun is important, most respondents surveyed do not use sunscreen daily. More respondents use sunscreen to prevent damage and aging than to prevent skin cancer. Young people might be more alarmed by the threat of early aging and losing their “youthful appearance” than by the possibility of developing skin cancer in the distant future. This discrepancy might indicate a lack of knowledge and be an important focus for future education efforts.

Perceptions of Trustworthiness of Education Sources
Our findings show dermatologists and primary care physicians are important educators on skin protection. Primary care physicians should remain vigilant to recognize at-risk patients who would benefit from skin protection education, especially those who do not see a dermatologist. Education of young people focusing on their concern over maintaining a youthful appearance instead of the possibility of developing skin cancer in the future might be more effective.

Although education provided by a physician is effective, using media—particularly social media—might be more efficient. Television, Instagram, and YouTube were listed by respondents as the 3 most preferred media outlets for skin health education, which shows important areas of focus for future advertising. Facebook was listed at a surprisingly low level, possibly showing the change in use of certain social media websites among this age group. According to the Pew Research Center, the most widely used social media apps among young adults aged 18 to 29 years are YouTube (91%), Facebook (63%), Instagram (67%), and Snapchat (62%). More than half of the same demographic visit Facebook (74%), Instagram (63%), Snapchat (61%), and YouTube (51%) daily.5 Although respondents to our survey were not specifically asked about the frequency of their use of social media and our data set includes patients younger than 18 years, we know that social media use has been increasing over the last decade among adolescents.1 Therefore, we assume that more than one-half of respondents to our survey use their reported social media platforms daily.



Social media is an underused medium for skin cancer prevention education and can reach those who do not regularly see a dermatologist. Unlike printed pamphlets and posters, advertisements through social media can use metrics such as age, race, gender, and interests to target high-risk individuals.

Study Limitations
This was a single-site study of currently enrolled dermatology patients who might be more aware of skin protection than the general population because they are being treated by a dermatologist. Survey questions regarding demographics, required by our institution, could not effectively differentiate Hispanic and White patients. Respondents could have been subject to the Hawthorne effect—awareness that their behavior is being observed—when responding to the survey because it was administered in the office prior to being seen by a dermatologist.

References
  1. Falzone AE, Brindis CD, Chren M-M, et al. Teens, tweets, and tanning beds: rethinking the use of social media for skin cancer prevention. Am J Prev Med. 2017;53(3 suppl 1):S86-S94.
  2. Centers for Disease Control and Prevention. Use of indoor tanning devices by adults—United States, 2010. MMWR Morb Mortal Wkly Rep. 2012;61:323-326.
  3. American Academy of Dermatology. Position statement on indoor tanning. Amended November 14, 2009. Accessed January 10, 2021. https://server.aad.org/Forms/Policies/Uploads/PS/PS-Indoor%20Tanning%2011-16-09.pdf?
  4. American Academy of Dermatology. Indoor tanning. Accessed January 10, 2020. https://www.aad.org/media/stats-indoor-tanning
  5. Perrin A, Anderson M. Share of U.S. adults using social media, including Facebook, is mostly unchanged since 2018. Pew Research Center; April 10, 2019. Accessed April 16, 2021. https://www.pewresearch.org/fact-tank/2019/04/10/share-of-u-s-adults-using-social-media-including-facebook-is-mostly-unchanged-since-2018/
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From the University of Texas Health at San Antonio, Long School of Medicine. Drs. Fisher-Shiu and Gilson are from the Division of Dermatology.

The authors report no conflict of interest.

Correspondence: Daniel C. Glade, MD, Department of Dermatology, University of Texas Health San Antonio, 7979 Wurzbach Rd, San Antonio, TX 78220 (gladed@uthscsa.edu).

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From the University of Texas Health at San Antonio, Long School of Medicine. Drs. Fisher-Shiu and Gilson are from the Division of Dermatology.

The authors report no conflict of interest.

Correspondence: Daniel C. Glade, MD, Department of Dermatology, University of Texas Health San Antonio, 7979 Wurzbach Rd, San Antonio, TX 78220 (gladed@uthscsa.edu).

Author and Disclosure Information

From the University of Texas Health at San Antonio, Long School of Medicine. Drs. Fisher-Shiu and Gilson are from the Division of Dermatology.

The authors report no conflict of interest.

Correspondence: Daniel C. Glade, MD, Department of Dermatology, University of Texas Health San Antonio, 7979 Wurzbach Rd, San Antonio, TX 78220 (gladed@uthscsa.edu).

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Intentional tanning—through sun exposure and tanning beds—is an easily avoidable contributor to skin cancer development and an important area for public education. Since the advent of social media, a correlation between social media use and increased indoor tanning behaviors has been reported.1 In 2010, 11.3% of US adults aged 18 to 29 years reported using a tanning bed in the last 12 months.2 The American Academy of Dermatology first published their “Position Statement on Indoor Tanning” in 1998, endorsing a ban on the sale of indoor tanning equipment for nonmedical purposes.3

Although there has been no outright ban on indoor tanning, regulations have been put in place in many states—including Texas, where (as of 2013) a person younger than 18 years must have written consent from their parent(s) to use a tanning bed. Despite efforts of organizations including the American Academy of Dermatology and the government to educate the public on skin cancer prevention and sun safety, the skin cancer rate has been steadily increasing over the last 20 years.

There is a constant campaign among dermatologists to educate their patients on how to reduce or avoid the risk for skin cancer, including the use of sunscreen and avoidance of tanning. Adolescents and young adults are an especially important demographic to reach and educate because increased UV light exposure during these years leads to a greatly increased risk for skin cancer later in life.4 Data on the overall prevalence of tanning and the demographics of participation in tanning activities are important to capture and can be used to efficiently target higher-risk populations.

In this study, we aimed to investigate the attitudes and behaviors of adolescents and young adults regarding sun protection and tanning. We also aimed to determine which avenues, including social media, would be most effective at educating about skin cancer awareness and sun protection to the higher-risk younger population.

Materials and Methods

We developed an institutional review board–approved protocol for the prospective collection of data from registered patients at the dermatology clinic of the Mays Cancer Center at the University of Texas Health at San Antonio. A paper survey containing 15 rating-scale questions was administered to 60 patients aged 13 to 27 years. Surveys were administered during intake, prior to the patients’ visit with a dermatologist; all visits were of a functional (not cosmetic) nature. Data collection spanned June to August 2018. Survey results were entered into Research Electronic Data Capture (REDCap) software for qualitative analysis.

Results

Sixty patients responded to the survey. The mean age of respondents was 19.5 years. No surveys were excluded from the data set. Table 1 provides baseline characteristics of respondents. Some respondents left questions unanswered, resulting in questions with fewer than 60 responses.

Among respondents to the survey, 70% (42/60) reported it is very important to protect their skin from sun exposure, and 30% (18/60) reported it is somewhat important. Regarding sunscreen use, 70% (42/60) indicated they use sunscreen only before outdoor activities, 12% (7/60) use sunscreen daily, and 17% (10/60) never use sunscreen. Of those who use sunscreen, 52% (28/54) do so to prevent skin damage and aging and 44% (24/54) to prevent skin cancer. Twenty-three percent (13/56) of respondents reported finding tanned skin attractive; 26% (14/55) reported wanting to be tan. Looking at race, 28% (10/36) of Whites, 25% (5/20) of Spanish/Hispanic/Latinos, and 22% (2/9) of Asians found tanned skin attractive; no Black respondents found tanned skin attractive.

 

 



Regarding tanning, 12% (7/57) reported using a tanning bed in their lifetime and 4% (2/57) in the last year; 34% (19/56) reported deliberately tanning outdoors; and 9% (5/56) reported using sunless or spray-on tanning. Dermatologists (75% [42/56]), primary care physicians (69.6% [39/56]), and parents (46.4% [26/56]) were perceived as more effective sources of skin care education; among media modalities, television (33.9% [19/56]), Instagram (30.4% [17/60]), and YouTube (23.2% [13/60]) were perceived as more effective sources of skin care education (Table 2).

Comment

Perceptions of Tanning
Almost one-quarter of respondents found tanned skin attractive, which might reflect a shift from prior generations. Compared to the 11% of respondents in the 2010 survey,2 only 3.5% (2/57) of our respondents reported using a tanning bed in the last year, which could reflect the results of recent Texas legislation restricting the use of tanning beds by adolescents.

An alarming number of respondents reported going outdoors with the intention of tanning; although it appears that indoor tanning education has been successful, this finding shows that there is still a need for sun protection education because outdoor tanning is not a suitable alternative. A small number of respondents reported getting a sunless or spray-on tan, which is a risk-free alternative to indoor tanning.

Despite all respondents stating that protecting skin from the sun is important, most respondents surveyed do not use sunscreen daily. More respondents use sunscreen to prevent damage and aging than to prevent skin cancer. Young people might be more alarmed by the threat of early aging and losing their “youthful appearance” than by the possibility of developing skin cancer in the distant future. This discrepancy might indicate a lack of knowledge and be an important focus for future education efforts.

Perceptions of Trustworthiness of Education Sources
Our findings show dermatologists and primary care physicians are important educators on skin protection. Primary care physicians should remain vigilant to recognize at-risk patients who would benefit from skin protection education, especially those who do not see a dermatologist. Education of young people focusing on their concern over maintaining a youthful appearance instead of the possibility of developing skin cancer in the future might be more effective.

Although education provided by a physician is effective, using media—particularly social media—might be more efficient. Television, Instagram, and YouTube were listed by respondents as the 3 most preferred media outlets for skin health education, which shows important areas of focus for future advertising. Facebook was listed at a surprisingly low level, possibly showing the change in use of certain social media websites among this age group. According to the Pew Research Center, the most widely used social media apps among young adults aged 18 to 29 years are YouTube (91%), Facebook (63%), Instagram (67%), and Snapchat (62%). More than half of the same demographic visit Facebook (74%), Instagram (63%), Snapchat (61%), and YouTube (51%) daily.5 Although respondents to our survey were not specifically asked about the frequency of their use of social media and our data set includes patients younger than 18 years, we know that social media use has been increasing over the last decade among adolescents.1 Therefore, we assume that more than one-half of respondents to our survey use their reported social media platforms daily.



Social media is an underused medium for skin cancer prevention education and can reach those who do not regularly see a dermatologist. Unlike printed pamphlets and posters, advertisements through social media can use metrics such as age, race, gender, and interests to target high-risk individuals.

Study Limitations
This was a single-site study of currently enrolled dermatology patients who might be more aware of skin protection than the general population because they are being treated by a dermatologist. Survey questions regarding demographics, required by our institution, could not effectively differentiate Hispanic and White patients. Respondents could have been subject to the Hawthorne effect—awareness that their behavior is being observed—when responding to the survey because it was administered in the office prior to being seen by a dermatologist.

Intentional tanning—through sun exposure and tanning beds—is an easily avoidable contributor to skin cancer development and an important area for public education. Since the advent of social media, a correlation between social media use and increased indoor tanning behaviors has been reported.1 In 2010, 11.3% of US adults aged 18 to 29 years reported using a tanning bed in the last 12 months.2 The American Academy of Dermatology first published their “Position Statement on Indoor Tanning” in 1998, endorsing a ban on the sale of indoor tanning equipment for nonmedical purposes.3

Although there has been no outright ban on indoor tanning, regulations have been put in place in many states—including Texas, where (as of 2013) a person younger than 18 years must have written consent from their parent(s) to use a tanning bed. Despite efforts of organizations including the American Academy of Dermatology and the government to educate the public on skin cancer prevention and sun safety, the skin cancer rate has been steadily increasing over the last 20 years.

There is a constant campaign among dermatologists to educate their patients on how to reduce or avoid the risk for skin cancer, including the use of sunscreen and avoidance of tanning. Adolescents and young adults are an especially important demographic to reach and educate because increased UV light exposure during these years leads to a greatly increased risk for skin cancer later in life.4 Data on the overall prevalence of tanning and the demographics of participation in tanning activities are important to capture and can be used to efficiently target higher-risk populations.

In this study, we aimed to investigate the attitudes and behaviors of adolescents and young adults regarding sun protection and tanning. We also aimed to determine which avenues, including social media, would be most effective at educating about skin cancer awareness and sun protection to the higher-risk younger population.

Materials and Methods

We developed an institutional review board–approved protocol for the prospective collection of data from registered patients at the dermatology clinic of the Mays Cancer Center at the University of Texas Health at San Antonio. A paper survey containing 15 rating-scale questions was administered to 60 patients aged 13 to 27 years. Surveys were administered during intake, prior to the patients’ visit with a dermatologist; all visits were of a functional (not cosmetic) nature. Data collection spanned June to August 2018. Survey results were entered into Research Electronic Data Capture (REDCap) software for qualitative analysis.

Results

Sixty patients responded to the survey. The mean age of respondents was 19.5 years. No surveys were excluded from the data set. Table 1 provides baseline characteristics of respondents. Some respondents left questions unanswered, resulting in questions with fewer than 60 responses.

Among respondents to the survey, 70% (42/60) reported it is very important to protect their skin from sun exposure, and 30% (18/60) reported it is somewhat important. Regarding sunscreen use, 70% (42/60) indicated they use sunscreen only before outdoor activities, 12% (7/60) use sunscreen daily, and 17% (10/60) never use sunscreen. Of those who use sunscreen, 52% (28/54) do so to prevent skin damage and aging and 44% (24/54) to prevent skin cancer. Twenty-three percent (13/56) of respondents reported finding tanned skin attractive; 26% (14/55) reported wanting to be tan. Looking at race, 28% (10/36) of Whites, 25% (5/20) of Spanish/Hispanic/Latinos, and 22% (2/9) of Asians found tanned skin attractive; no Black respondents found tanned skin attractive.

 

 



Regarding tanning, 12% (7/57) reported using a tanning bed in their lifetime and 4% (2/57) in the last year; 34% (19/56) reported deliberately tanning outdoors; and 9% (5/56) reported using sunless or spray-on tanning. Dermatologists (75% [42/56]), primary care physicians (69.6% [39/56]), and parents (46.4% [26/56]) were perceived as more effective sources of skin care education; among media modalities, television (33.9% [19/56]), Instagram (30.4% [17/60]), and YouTube (23.2% [13/60]) were perceived as more effective sources of skin care education (Table 2).

Comment

Perceptions of Tanning
Almost one-quarter of respondents found tanned skin attractive, which might reflect a shift from prior generations. Compared to the 11% of respondents in the 2010 survey,2 only 3.5% (2/57) of our respondents reported using a tanning bed in the last year, which could reflect the results of recent Texas legislation restricting the use of tanning beds by adolescents.

An alarming number of respondents reported going outdoors with the intention of tanning; although it appears that indoor tanning education has been successful, this finding shows that there is still a need for sun protection education because outdoor tanning is not a suitable alternative. A small number of respondents reported getting a sunless or spray-on tan, which is a risk-free alternative to indoor tanning.

Despite all respondents stating that protecting skin from the sun is important, most respondents surveyed do not use sunscreen daily. More respondents use sunscreen to prevent damage and aging than to prevent skin cancer. Young people might be more alarmed by the threat of early aging and losing their “youthful appearance” than by the possibility of developing skin cancer in the distant future. This discrepancy might indicate a lack of knowledge and be an important focus for future education efforts.

Perceptions of Trustworthiness of Education Sources
Our findings show dermatologists and primary care physicians are important educators on skin protection. Primary care physicians should remain vigilant to recognize at-risk patients who would benefit from skin protection education, especially those who do not see a dermatologist. Education of young people focusing on their concern over maintaining a youthful appearance instead of the possibility of developing skin cancer in the future might be more effective.

Although education provided by a physician is effective, using media—particularly social media—might be more efficient. Television, Instagram, and YouTube were listed by respondents as the 3 most preferred media outlets for skin health education, which shows important areas of focus for future advertising. Facebook was listed at a surprisingly low level, possibly showing the change in use of certain social media websites among this age group. According to the Pew Research Center, the most widely used social media apps among young adults aged 18 to 29 years are YouTube (91%), Facebook (63%), Instagram (67%), and Snapchat (62%). More than half of the same demographic visit Facebook (74%), Instagram (63%), Snapchat (61%), and YouTube (51%) daily.5 Although respondents to our survey were not specifically asked about the frequency of their use of social media and our data set includes patients younger than 18 years, we know that social media use has been increasing over the last decade among adolescents.1 Therefore, we assume that more than one-half of respondents to our survey use their reported social media platforms daily.



Social media is an underused medium for skin cancer prevention education and can reach those who do not regularly see a dermatologist. Unlike printed pamphlets and posters, advertisements through social media can use metrics such as age, race, gender, and interests to target high-risk individuals.

Study Limitations
This was a single-site study of currently enrolled dermatology patients who might be more aware of skin protection than the general population because they are being treated by a dermatologist. Survey questions regarding demographics, required by our institution, could not effectively differentiate Hispanic and White patients. Respondents could have been subject to the Hawthorne effect—awareness that their behavior is being observed—when responding to the survey because it was administered in the office prior to being seen by a dermatologist.

References
  1. Falzone AE, Brindis CD, Chren M-M, et al. Teens, tweets, and tanning beds: rethinking the use of social media for skin cancer prevention. Am J Prev Med. 2017;53(3 suppl 1):S86-S94.
  2. Centers for Disease Control and Prevention. Use of indoor tanning devices by adults—United States, 2010. MMWR Morb Mortal Wkly Rep. 2012;61:323-326.
  3. American Academy of Dermatology. Position statement on indoor tanning. Amended November 14, 2009. Accessed January 10, 2021. https://server.aad.org/Forms/Policies/Uploads/PS/PS-Indoor%20Tanning%2011-16-09.pdf?
  4. American Academy of Dermatology. Indoor tanning. Accessed January 10, 2020. https://www.aad.org/media/stats-indoor-tanning
  5. Perrin A, Anderson M. Share of U.S. adults using social media, including Facebook, is mostly unchanged since 2018. Pew Research Center; April 10, 2019. Accessed April 16, 2021. https://www.pewresearch.org/fact-tank/2019/04/10/share-of-u-s-adults-using-social-media-including-facebook-is-mostly-unchanged-since-2018/
References
  1. Falzone AE, Brindis CD, Chren M-M, et al. Teens, tweets, and tanning beds: rethinking the use of social media for skin cancer prevention. Am J Prev Med. 2017;53(3 suppl 1):S86-S94.
  2. Centers for Disease Control and Prevention. Use of indoor tanning devices by adults—United States, 2010. MMWR Morb Mortal Wkly Rep. 2012;61:323-326.
  3. American Academy of Dermatology. Position statement on indoor tanning. Amended November 14, 2009. Accessed January 10, 2021. https://server.aad.org/Forms/Policies/Uploads/PS/PS-Indoor%20Tanning%2011-16-09.pdf?
  4. American Academy of Dermatology. Indoor tanning. Accessed January 10, 2020. https://www.aad.org/media/stats-indoor-tanning
  5. Perrin A, Anderson M. Share of U.S. adults using social media, including Facebook, is mostly unchanged since 2018. Pew Research Center; April 10, 2019. Accessed April 16, 2021. https://www.pewresearch.org/fact-tank/2019/04/10/share-of-u-s-adults-using-social-media-including-facebook-is-mostly-unchanged-since-2018/
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  • Dermatologists are the preferred educators of skin care for adolescents and young adults.
  • Social media is an underused medium for skin cancer prevention education and can reach those who do not regularly see a dermatologist.
  • Education of young people focusing on their concerns about maintaining a youthful appearance instead of the possibility of developing skin cancer in the future might be more effective.
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Communication Strategies in Mohs Micrographic Surgery: A Survey of Methods, Time Savings, and Perceived Patient Satisfaction

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Mohs micrographic surgery (MMS) entails multiple time-consuming surgical and histological examinations for each patient. As surgical stages are performed and histological sections are processed, an efficient communication method among providers, medical assistants, histotechnologists, and patients is necessary to avoid delays. To address these and other communication issues, providers have focused on ways to increase clinic efficiency and improve patient-reported outcomes by utilizing new or repurposed communication technologies in their Mohs practice. 

Prior reports have highlighted the utility of hands-free headsets that allow real-time communication among staff members as a means of increasing clinic efficiency and decreasing patient wait times.1-4 These systems may mediate a more rapid turnover between stages by mitigating the need for surgeons and support staff to assemble within a designated workspace.1,3,4 However, there is no single or standardized communication method that best suits all surgical suites and MMS practices. Our study aimed to identify the current communication strategies employed by Mohs surgeons and thereby ascertain which method(s) portend(s) the highest benefit in average daily time savings and provider-perceived patient satisfaction.

Materials and Methods

Survey Instrument
A new 10-question electronic survey was published on the SurveyMonkey website, and a link to the survey was provided in a quarterly email that originated from the American College of Mohs Surgery and was distributed to all 1735 active members. Responses were obtained from January 2019 to February 2019.

Statistical Analysis
A statistical analysis was done to determine any significant associations among the providers’ responses. P<.05 was used to determine statistical significance. A Cochran-Armitage test for trend was used to identify significant associations between the number of rooms and the communication systems that were used. Thus, 7 total tests—1 for each device (whiteboard, light system, flag system, wired intercom, wireless intercom, walkie-talkie, or headset)—were conducted. The Cochran-Armitage test also was used to determine whether the probability of using the device was affected by the number of stations/surgical rooms that were attended by the Mohs surgeons. To determine whether the communication devices used were associated with higher patient satisfaction, a χ2 test was conducted for each device (7 total tests), testing the categories of using that device (yes/no) and patient satisfaction (yes/no). A Fisher exact test of independence was used in any case where the proportion for the device and patient satisfaction was 25% or higher. To determine whether the communication method was associated with increased time savings, 7 total Cochran-Armitage tests were conducted, 1 for each device. A logistic regression model was used to determine whether there was a significant association between the number of stations and the likelihood of reporting patient satisfaction.

Results

Eighty-eight surgeons responded to the survey, with a response rate of 5% (88/1735). A total of 55 surgeons completed the survey in its entirety and were included in the data analysis. The most commonly used communication mediums were whiteboards (29/55 [53%]), followed by a flag system (16/55 [29%]) and a light system (13/55 [24%]). Most Mohs surgeons (52/55 [95%]) used the communication media to communicate with their staff only, and 76% (42/55) of Mohs surgeons believed that their communication media contributed to higher patient satisfaction. Overall, 58% (32/55) of Mohs surgeons stated that their communication media saved more than 15 minutes (on average) per day. The use of a whiteboard and/or flag system was reported as the least efficient method, with average daily time savings of 13 minutes. With the introduction of newer technology (wired or wireless intercoms, headsets, walkie-talkies, or internal messaging systems such as Skype) to the whiteboard and/or flag system, the time savings increased by 10 minutes per day. Nearly 25% (14/55) of surgeons utilized more than 1 communication system.

As the number of stations in an MMS suite increased, the probability of using a whiteboard to track the progress of the cases decreased. There were no statistically significant associations identified between the number of stations and the use of other communication devices (ie, flag system, light system, wireless intercom, wired intercom, walkie-talkie, headset). The stratified percentages of the amount of time savings for each communication modality are presented in the Figure (whiteboards and headsets were excluded because they did not increase time savings). The use of a light system was the only communication modality found to be statistically associated with an increase in provider-reported time savings (P=.0482; Figure). In addition, our analysis did not show an improvement in provider-reported patient satisfaction with any of the current systems used in MMS clinics.

Provider-reported time savings of communication methods. This graph illustrates the communication media that were associated with an increase in time savings. Whiteboards and headsets were excluded because they did not increase time savings. The prevalence of each method (indicated by frequency) was further stratified by range of time savings, wherein the area of each stratification corresponded to the percentage of time savings indicated by the Mohs surgeons. Asterisk indicates P=.0482.

Comment

The process of transmitting information among the medical team during MMS is a complex interplay involving the relay of crucial information, with many opportunities for the introduction of distraction and error. Despite numerous improvements in the efficiency of the preparation of histological specimens and implementation of various time-saving and tissue-saving surgical interventions, relatively little attention has been given to address the sometimes chaotic and challenging process of organizing results from each stage of multiple patients in an MMS surgical suite.5

As demonstrated by our survey, incorporation of a light-based system into an MMS clinic may improve workplace efficiency by decreasing the redundant use of support staff and allowing Mohs surgeons to transition from one station to the next seamlessly. Light-based communication systems provide an immediate notification for support staff via color-coded and/or numerically coded indicators on input switches located outside and inside the examination/surgery rooms. The switch indicators can be depressed with minimal disruption from station to station, thereby foregoing the need to interrupt an ongoing excision or closure to convey the status of the case. These systems may then permit enhanced clinic and workflow efficiency, which may help to shorten patient wait times.



Study Limitation
Although all members of the American College of Mohs Surgery were invited to participate in this online survey, only a small number (N=55) completed it in its entirety. Moreover, sample sizes for some of the communication devices were small. As a result, many of the tests might be lacking sufficient power to detect possible relationships, which might be identified in future larger-scale studies.

Conclusion

Our study supports the use of light-based communication systems in MMS suites to improve efficiency in the clinic. Based on our analysis, light-based communication methods were significantly associated with improved time savings (P=.0482). Our study did not show an improvement in provider-reported satisfaction with any of the current systems used in MMS clinics. We hope that this information will help guide providers in implementing new communication techniques to improve clinic efficiency. 



Acknowledgments
The authors would like to thank Ms. Kathy Kyler (Oklahoma City, Oklahoma) for her assistance in preparing this manuscript. Support for Dr. Chen and Mr. Stubblefield was provided through National Institutes of Health, National Institute of General Medical Sciences [Grant 2U54GM104938-06, PI Judith James].

References
  1. Chen T, Vines L, Wanitphakdeedecha R, et al. Electronically linked: wireless, discrete, hands-free communication to improve surgical workflow in Mohs and dermasurgery clinic. Dermatol Surg. 2009;35:248-252.
  2. Lanto AB, Yano EM, Fink A, et al. Anatomy of an outpatient visit. An evaluation of clinic efficiency in general and subspecialty clinics. Med Group Manage J. 1995;42:18-25.
  3. Kantor J. Application of Google Glass to Mohs micrographic surgery: a pilot study in 120 patients. Dermatol Surg. 2015;41:288-289.
  4. Spurk PA, Mohr ML, Seroka AM, et al. The impact of a wireless telecommunication system on efficiency. J Nurs Admin. 1995;25:21-26.
  5. Dietert JB, MacFarlane DF. A survey of Mohs tissue tracking practices. Dermatol Surg. 2019;45:514-518.
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Dr. Yousefi is from the University of Michigan Medical School, College of Medicine, Ann Arbor. Drs. McLawhorn, Quinn, Chen, Stasko, and Collins as well as Mr. Stubblefield are from the University of Oklahoma Health Sciences Center, Oklahoma City. Drs. McLawhorn, Quinn, Stasko, and Collins are from the College of Medicine, Department of Dermatology, and Dr. Chen is from the Department of Biostatistics and Epidemiology.

The authors report no conflict of interest.

Correspondence: Nyousha Yousefi, MD (nyousha.yousefi@gmail.com).

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Dr. Yousefi is from the University of Michigan Medical School, College of Medicine, Ann Arbor. Drs. McLawhorn, Quinn, Chen, Stasko, and Collins as well as Mr. Stubblefield are from the University of Oklahoma Health Sciences Center, Oklahoma City. Drs. McLawhorn, Quinn, Stasko, and Collins are from the College of Medicine, Department of Dermatology, and Dr. Chen is from the Department of Biostatistics and Epidemiology.

The authors report no conflict of interest.

Correspondence: Nyousha Yousefi, MD (nyousha.yousefi@gmail.com).

Author and Disclosure Information

Dr. Yousefi is from the University of Michigan Medical School, College of Medicine, Ann Arbor. Drs. McLawhorn, Quinn, Chen, Stasko, and Collins as well as Mr. Stubblefield are from the University of Oklahoma Health Sciences Center, Oklahoma City. Drs. McLawhorn, Quinn, Stasko, and Collins are from the College of Medicine, Department of Dermatology, and Dr. Chen is from the Department of Biostatistics and Epidemiology.

The authors report no conflict of interest.

Correspondence: Nyousha Yousefi, MD (nyousha.yousefi@gmail.com).

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Mohs micrographic surgery (MMS) entails multiple time-consuming surgical and histological examinations for each patient. As surgical stages are performed and histological sections are processed, an efficient communication method among providers, medical assistants, histotechnologists, and patients is necessary to avoid delays. To address these and other communication issues, providers have focused on ways to increase clinic efficiency and improve patient-reported outcomes by utilizing new or repurposed communication technologies in their Mohs practice. 

Prior reports have highlighted the utility of hands-free headsets that allow real-time communication among staff members as a means of increasing clinic efficiency and decreasing patient wait times.1-4 These systems may mediate a more rapid turnover between stages by mitigating the need for surgeons and support staff to assemble within a designated workspace.1,3,4 However, there is no single or standardized communication method that best suits all surgical suites and MMS practices. Our study aimed to identify the current communication strategies employed by Mohs surgeons and thereby ascertain which method(s) portend(s) the highest benefit in average daily time savings and provider-perceived patient satisfaction.

Materials and Methods

Survey Instrument
A new 10-question electronic survey was published on the SurveyMonkey website, and a link to the survey was provided in a quarterly email that originated from the American College of Mohs Surgery and was distributed to all 1735 active members. Responses were obtained from January 2019 to February 2019.

Statistical Analysis
A statistical analysis was done to determine any significant associations among the providers’ responses. P<.05 was used to determine statistical significance. A Cochran-Armitage test for trend was used to identify significant associations between the number of rooms and the communication systems that were used. Thus, 7 total tests—1 for each device (whiteboard, light system, flag system, wired intercom, wireless intercom, walkie-talkie, or headset)—were conducted. The Cochran-Armitage test also was used to determine whether the probability of using the device was affected by the number of stations/surgical rooms that were attended by the Mohs surgeons. To determine whether the communication devices used were associated with higher patient satisfaction, a χ2 test was conducted for each device (7 total tests), testing the categories of using that device (yes/no) and patient satisfaction (yes/no). A Fisher exact test of independence was used in any case where the proportion for the device and patient satisfaction was 25% or higher. To determine whether the communication method was associated with increased time savings, 7 total Cochran-Armitage tests were conducted, 1 for each device. A logistic regression model was used to determine whether there was a significant association between the number of stations and the likelihood of reporting patient satisfaction.

Results

Eighty-eight surgeons responded to the survey, with a response rate of 5% (88/1735). A total of 55 surgeons completed the survey in its entirety and were included in the data analysis. The most commonly used communication mediums were whiteboards (29/55 [53%]), followed by a flag system (16/55 [29%]) and a light system (13/55 [24%]). Most Mohs surgeons (52/55 [95%]) used the communication media to communicate with their staff only, and 76% (42/55) of Mohs surgeons believed that their communication media contributed to higher patient satisfaction. Overall, 58% (32/55) of Mohs surgeons stated that their communication media saved more than 15 minutes (on average) per day. The use of a whiteboard and/or flag system was reported as the least efficient method, with average daily time savings of 13 minutes. With the introduction of newer technology (wired or wireless intercoms, headsets, walkie-talkies, or internal messaging systems such as Skype) to the whiteboard and/or flag system, the time savings increased by 10 minutes per day. Nearly 25% (14/55) of surgeons utilized more than 1 communication system.

As the number of stations in an MMS suite increased, the probability of using a whiteboard to track the progress of the cases decreased. There were no statistically significant associations identified between the number of stations and the use of other communication devices (ie, flag system, light system, wireless intercom, wired intercom, walkie-talkie, headset). The stratified percentages of the amount of time savings for each communication modality are presented in the Figure (whiteboards and headsets were excluded because they did not increase time savings). The use of a light system was the only communication modality found to be statistically associated with an increase in provider-reported time savings (P=.0482; Figure). In addition, our analysis did not show an improvement in provider-reported patient satisfaction with any of the current systems used in MMS clinics.

Provider-reported time savings of communication methods. This graph illustrates the communication media that were associated with an increase in time savings. Whiteboards and headsets were excluded because they did not increase time savings. The prevalence of each method (indicated by frequency) was further stratified by range of time savings, wherein the area of each stratification corresponded to the percentage of time savings indicated by the Mohs surgeons. Asterisk indicates P=.0482.

Comment

The process of transmitting information among the medical team during MMS is a complex interplay involving the relay of crucial information, with many opportunities for the introduction of distraction and error. Despite numerous improvements in the efficiency of the preparation of histological specimens and implementation of various time-saving and tissue-saving surgical interventions, relatively little attention has been given to address the sometimes chaotic and challenging process of organizing results from each stage of multiple patients in an MMS surgical suite.5

As demonstrated by our survey, incorporation of a light-based system into an MMS clinic may improve workplace efficiency by decreasing the redundant use of support staff and allowing Mohs surgeons to transition from one station to the next seamlessly. Light-based communication systems provide an immediate notification for support staff via color-coded and/or numerically coded indicators on input switches located outside and inside the examination/surgery rooms. The switch indicators can be depressed with minimal disruption from station to station, thereby foregoing the need to interrupt an ongoing excision or closure to convey the status of the case. These systems may then permit enhanced clinic and workflow efficiency, which may help to shorten patient wait times.



Study Limitation
Although all members of the American College of Mohs Surgery were invited to participate in this online survey, only a small number (N=55) completed it in its entirety. Moreover, sample sizes for some of the communication devices were small. As a result, many of the tests might be lacking sufficient power to detect possible relationships, which might be identified in future larger-scale studies.

Conclusion

Our study supports the use of light-based communication systems in MMS suites to improve efficiency in the clinic. Based on our analysis, light-based communication methods were significantly associated with improved time savings (P=.0482). Our study did not show an improvement in provider-reported satisfaction with any of the current systems used in MMS clinics. We hope that this information will help guide providers in implementing new communication techniques to improve clinic efficiency. 



Acknowledgments
The authors would like to thank Ms. Kathy Kyler (Oklahoma City, Oklahoma) for her assistance in preparing this manuscript. Support for Dr. Chen and Mr. Stubblefield was provided through National Institutes of Health, National Institute of General Medical Sciences [Grant 2U54GM104938-06, PI Judith James].

Mohs micrographic surgery (MMS) entails multiple time-consuming surgical and histological examinations for each patient. As surgical stages are performed and histological sections are processed, an efficient communication method among providers, medical assistants, histotechnologists, and patients is necessary to avoid delays. To address these and other communication issues, providers have focused on ways to increase clinic efficiency and improve patient-reported outcomes by utilizing new or repurposed communication technologies in their Mohs practice. 

Prior reports have highlighted the utility of hands-free headsets that allow real-time communication among staff members as a means of increasing clinic efficiency and decreasing patient wait times.1-4 These systems may mediate a more rapid turnover between stages by mitigating the need for surgeons and support staff to assemble within a designated workspace.1,3,4 However, there is no single or standardized communication method that best suits all surgical suites and MMS practices. Our study aimed to identify the current communication strategies employed by Mohs surgeons and thereby ascertain which method(s) portend(s) the highest benefit in average daily time savings and provider-perceived patient satisfaction.

Materials and Methods

Survey Instrument
A new 10-question electronic survey was published on the SurveyMonkey website, and a link to the survey was provided in a quarterly email that originated from the American College of Mohs Surgery and was distributed to all 1735 active members. Responses were obtained from January 2019 to February 2019.

Statistical Analysis
A statistical analysis was done to determine any significant associations among the providers’ responses. P<.05 was used to determine statistical significance. A Cochran-Armitage test for trend was used to identify significant associations between the number of rooms and the communication systems that were used. Thus, 7 total tests—1 for each device (whiteboard, light system, flag system, wired intercom, wireless intercom, walkie-talkie, or headset)—were conducted. The Cochran-Armitage test also was used to determine whether the probability of using the device was affected by the number of stations/surgical rooms that were attended by the Mohs surgeons. To determine whether the communication devices used were associated with higher patient satisfaction, a χ2 test was conducted for each device (7 total tests), testing the categories of using that device (yes/no) and patient satisfaction (yes/no). A Fisher exact test of independence was used in any case where the proportion for the device and patient satisfaction was 25% or higher. To determine whether the communication method was associated with increased time savings, 7 total Cochran-Armitage tests were conducted, 1 for each device. A logistic regression model was used to determine whether there was a significant association between the number of stations and the likelihood of reporting patient satisfaction.

Results

Eighty-eight surgeons responded to the survey, with a response rate of 5% (88/1735). A total of 55 surgeons completed the survey in its entirety and were included in the data analysis. The most commonly used communication mediums were whiteboards (29/55 [53%]), followed by a flag system (16/55 [29%]) and a light system (13/55 [24%]). Most Mohs surgeons (52/55 [95%]) used the communication media to communicate with their staff only, and 76% (42/55) of Mohs surgeons believed that their communication media contributed to higher patient satisfaction. Overall, 58% (32/55) of Mohs surgeons stated that their communication media saved more than 15 minutes (on average) per day. The use of a whiteboard and/or flag system was reported as the least efficient method, with average daily time savings of 13 minutes. With the introduction of newer technology (wired or wireless intercoms, headsets, walkie-talkies, or internal messaging systems such as Skype) to the whiteboard and/or flag system, the time savings increased by 10 minutes per day. Nearly 25% (14/55) of surgeons utilized more than 1 communication system.

As the number of stations in an MMS suite increased, the probability of using a whiteboard to track the progress of the cases decreased. There were no statistically significant associations identified between the number of stations and the use of other communication devices (ie, flag system, light system, wireless intercom, wired intercom, walkie-talkie, headset). The stratified percentages of the amount of time savings for each communication modality are presented in the Figure (whiteboards and headsets were excluded because they did not increase time savings). The use of a light system was the only communication modality found to be statistically associated with an increase in provider-reported time savings (P=.0482; Figure). In addition, our analysis did not show an improvement in provider-reported patient satisfaction with any of the current systems used in MMS clinics.

Provider-reported time savings of communication methods. This graph illustrates the communication media that were associated with an increase in time savings. Whiteboards and headsets were excluded because they did not increase time savings. The prevalence of each method (indicated by frequency) was further stratified by range of time savings, wherein the area of each stratification corresponded to the percentage of time savings indicated by the Mohs surgeons. Asterisk indicates P=.0482.

Comment

The process of transmitting information among the medical team during MMS is a complex interplay involving the relay of crucial information, with many opportunities for the introduction of distraction and error. Despite numerous improvements in the efficiency of the preparation of histological specimens and implementation of various time-saving and tissue-saving surgical interventions, relatively little attention has been given to address the sometimes chaotic and challenging process of organizing results from each stage of multiple patients in an MMS surgical suite.5

As demonstrated by our survey, incorporation of a light-based system into an MMS clinic may improve workplace efficiency by decreasing the redundant use of support staff and allowing Mohs surgeons to transition from one station to the next seamlessly. Light-based communication systems provide an immediate notification for support staff via color-coded and/or numerically coded indicators on input switches located outside and inside the examination/surgery rooms. The switch indicators can be depressed with minimal disruption from station to station, thereby foregoing the need to interrupt an ongoing excision or closure to convey the status of the case. These systems may then permit enhanced clinic and workflow efficiency, which may help to shorten patient wait times.



Study Limitation
Although all members of the American College of Mohs Surgery were invited to participate in this online survey, only a small number (N=55) completed it in its entirety. Moreover, sample sizes for some of the communication devices were small. As a result, many of the tests might be lacking sufficient power to detect possible relationships, which might be identified in future larger-scale studies.

Conclusion

Our study supports the use of light-based communication systems in MMS suites to improve efficiency in the clinic. Based on our analysis, light-based communication methods were significantly associated with improved time savings (P=.0482). Our study did not show an improvement in provider-reported satisfaction with any of the current systems used in MMS clinics. We hope that this information will help guide providers in implementing new communication techniques to improve clinic efficiency. 



Acknowledgments
The authors would like to thank Ms. Kathy Kyler (Oklahoma City, Oklahoma) for her assistance in preparing this manuscript. Support for Dr. Chen and Mr. Stubblefield was provided through National Institutes of Health, National Institute of General Medical Sciences [Grant 2U54GM104938-06, PI Judith James].

References
  1. Chen T, Vines L, Wanitphakdeedecha R, et al. Electronically linked: wireless, discrete, hands-free communication to improve surgical workflow in Mohs and dermasurgery clinic. Dermatol Surg. 2009;35:248-252.
  2. Lanto AB, Yano EM, Fink A, et al. Anatomy of an outpatient visit. An evaluation of clinic efficiency in general and subspecialty clinics. Med Group Manage J. 1995;42:18-25.
  3. Kantor J. Application of Google Glass to Mohs micrographic surgery: a pilot study in 120 patients. Dermatol Surg. 2015;41:288-289.
  4. Spurk PA, Mohr ML, Seroka AM, et al. The impact of a wireless telecommunication system on efficiency. J Nurs Admin. 1995;25:21-26.
  5. Dietert JB, MacFarlane DF. A survey of Mohs tissue tracking practices. Dermatol Surg. 2019;45:514-518.
References
  1. Chen T, Vines L, Wanitphakdeedecha R, et al. Electronically linked: wireless, discrete, hands-free communication to improve surgical workflow in Mohs and dermasurgery clinic. Dermatol Surg. 2009;35:248-252.
  2. Lanto AB, Yano EM, Fink A, et al. Anatomy of an outpatient visit. An evaluation of clinic efficiency in general and subspecialty clinics. Med Group Manage J. 1995;42:18-25.
  3. Kantor J. Application of Google Glass to Mohs micrographic surgery: a pilot study in 120 patients. Dermatol Surg. 2015;41:288-289.
  4. Spurk PA, Mohr ML, Seroka AM, et al. The impact of a wireless telecommunication system on efficiency. J Nurs Admin. 1995;25:21-26.
  5. Dietert JB, MacFarlane DF. A survey of Mohs tissue tracking practices. Dermatol Surg. 2019;45:514-518.
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  • There are limited studies evaluating the efficacy of different communication methods in Mohs micrographic surgery (MMS) clinics.
  • This study suggests that incorporation of a light-based system into an MMS clinic improves workplace efficiency.
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Checkpoint inhibitor skin side effects more common in women

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Women had about a twofold higher risk than that of men of developing dermatologic adverse events while taking immune checkpoint inhibitors for metastatic melanoma in a review of 235 patients at Dana Farber Cancer Center, Boston.
 

Overall, 62.4% of the 93 women in the review and 48.6% of the 142 men experienced confirmed skin reactions, for an odds ratio (OR) of 2.11 for women compared with men (P = .01).

“Clinicians should consider these results in counseling female patients regarding an elevated risk of dermatologic adverse events” when taking checkpoint inhibitors, said investigators led by Harvard University medical student Jordan Said, who presented the results at the American Academy of Dermatology Virtual Meeting Experience.

Autoimmune-like adverse events are common with checkpoint inhibitors. Dermatologic side effects occur in about half of people receiving monotherapy and more than that among patients receiving combination therapy.

Skin reactions can include psoriasiform dermatitis, lichenoid reactions, vitiligo, and bullous pemphigoid and may require hospitalization and prolonged steroid treatment.

Not much is known about risk factors for these reactions. A higher incidence among women has been previously reported. A 2019 study found a higher risk for pneumonitis and endocrinopathy, including hypophysitis, among women who underwent treatment for non–small cell lung cancer or metastatic melanoma.

The 2019 study found that the risk was higher among premenopausal women than postmenopausal women, which led some to suggest that estrogen may play a role.

The results of the Dana Farber review argue against that notion. In their review, the investigators found that the risk was similarly elevated among the 27 premenopausal women (OR, 1.97; P = .40) and the 66 postmenopausal women (OR, 2.17, P = .05). In the study, women who were aged 52 years or older at the start of treatment were considered to be postmenopausal.



“This suggests that factors beyond sex hormones are likely contributory” to the difference in risk between men and women. It’s known that women are at higher risk for autoimmune disease overall, which might be related to the increased odds of autoimmune-like reactions, and it may be that sex-related differences in innate and adoptive immunity are at work, Mr. Said noted.

When asked for comment, Douglas Johnson, MD, assistant professor of hematology/oncology at Vanderbilt University, Nashville, Tenn., said that although some studies have reported a greater risk for side effects among women, others have not. “Additional research is needed to determine the interactions between sex and effects of immune checkpoint inhibitors, as well as many other possible triggers of immune-related adverse events,” he said.

“Continued work in this area will be so important to help determine how to best counsel women and to ensure early recognition and intervention for dermatologic side effects,” said Bernice Kwong, MD, director of the Supportive Dermato-Oncology Program at Stanford (Calif.) University.

The patients in the review were treated from 2011 to 2016 and underwent at least monthly evaluations by their medical teams. They were taking either nivolumabpembrolizumab, or ipilimumab or a nivolumab/ipilimumab combination.

The median age of the men in the study was 65 years; the median age of women was 60 years. Almost 98% of the participants were White. The majority received one to three infusions, most commonly with pembrolizumab monotherapy.

No funding for the study was reported. Mr. Said has disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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Women had about a twofold higher risk than that of men of developing dermatologic adverse events while taking immune checkpoint inhibitors for metastatic melanoma in a review of 235 patients at Dana Farber Cancer Center, Boston.
 

Overall, 62.4% of the 93 women in the review and 48.6% of the 142 men experienced confirmed skin reactions, for an odds ratio (OR) of 2.11 for women compared with men (P = .01).

“Clinicians should consider these results in counseling female patients regarding an elevated risk of dermatologic adverse events” when taking checkpoint inhibitors, said investigators led by Harvard University medical student Jordan Said, who presented the results at the American Academy of Dermatology Virtual Meeting Experience.

Autoimmune-like adverse events are common with checkpoint inhibitors. Dermatologic side effects occur in about half of people receiving monotherapy and more than that among patients receiving combination therapy.

Skin reactions can include psoriasiform dermatitis, lichenoid reactions, vitiligo, and bullous pemphigoid and may require hospitalization and prolonged steroid treatment.

Not much is known about risk factors for these reactions. A higher incidence among women has been previously reported. A 2019 study found a higher risk for pneumonitis and endocrinopathy, including hypophysitis, among women who underwent treatment for non–small cell lung cancer or metastatic melanoma.

The 2019 study found that the risk was higher among premenopausal women than postmenopausal women, which led some to suggest that estrogen may play a role.

The results of the Dana Farber review argue against that notion. In their review, the investigators found that the risk was similarly elevated among the 27 premenopausal women (OR, 1.97; P = .40) and the 66 postmenopausal women (OR, 2.17, P = .05). In the study, women who were aged 52 years or older at the start of treatment were considered to be postmenopausal.



“This suggests that factors beyond sex hormones are likely contributory” to the difference in risk between men and women. It’s known that women are at higher risk for autoimmune disease overall, which might be related to the increased odds of autoimmune-like reactions, and it may be that sex-related differences in innate and adoptive immunity are at work, Mr. Said noted.

When asked for comment, Douglas Johnson, MD, assistant professor of hematology/oncology at Vanderbilt University, Nashville, Tenn., said that although some studies have reported a greater risk for side effects among women, others have not. “Additional research is needed to determine the interactions between sex and effects of immune checkpoint inhibitors, as well as many other possible triggers of immune-related adverse events,” he said.

“Continued work in this area will be so important to help determine how to best counsel women and to ensure early recognition and intervention for dermatologic side effects,” said Bernice Kwong, MD, director of the Supportive Dermato-Oncology Program at Stanford (Calif.) University.

The patients in the review were treated from 2011 to 2016 and underwent at least monthly evaluations by their medical teams. They were taking either nivolumabpembrolizumab, or ipilimumab or a nivolumab/ipilimumab combination.

The median age of the men in the study was 65 years; the median age of women was 60 years. Almost 98% of the participants were White. The majority received one to three infusions, most commonly with pembrolizumab monotherapy.

No funding for the study was reported. Mr. Said has disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Women had about a twofold higher risk than that of men of developing dermatologic adverse events while taking immune checkpoint inhibitors for metastatic melanoma in a review of 235 patients at Dana Farber Cancer Center, Boston.
 

Overall, 62.4% of the 93 women in the review and 48.6% of the 142 men experienced confirmed skin reactions, for an odds ratio (OR) of 2.11 for women compared with men (P = .01).

“Clinicians should consider these results in counseling female patients regarding an elevated risk of dermatologic adverse events” when taking checkpoint inhibitors, said investigators led by Harvard University medical student Jordan Said, who presented the results at the American Academy of Dermatology Virtual Meeting Experience.

Autoimmune-like adverse events are common with checkpoint inhibitors. Dermatologic side effects occur in about half of people receiving monotherapy and more than that among patients receiving combination therapy.

Skin reactions can include psoriasiform dermatitis, lichenoid reactions, vitiligo, and bullous pemphigoid and may require hospitalization and prolonged steroid treatment.

Not much is known about risk factors for these reactions. A higher incidence among women has been previously reported. A 2019 study found a higher risk for pneumonitis and endocrinopathy, including hypophysitis, among women who underwent treatment for non–small cell lung cancer or metastatic melanoma.

The 2019 study found that the risk was higher among premenopausal women than postmenopausal women, which led some to suggest that estrogen may play a role.

The results of the Dana Farber review argue against that notion. In their review, the investigators found that the risk was similarly elevated among the 27 premenopausal women (OR, 1.97; P = .40) and the 66 postmenopausal women (OR, 2.17, P = .05). In the study, women who were aged 52 years or older at the start of treatment were considered to be postmenopausal.



“This suggests that factors beyond sex hormones are likely contributory” to the difference in risk between men and women. It’s known that women are at higher risk for autoimmune disease overall, which might be related to the increased odds of autoimmune-like reactions, and it may be that sex-related differences in innate and adoptive immunity are at work, Mr. Said noted.

When asked for comment, Douglas Johnson, MD, assistant professor of hematology/oncology at Vanderbilt University, Nashville, Tenn., said that although some studies have reported a greater risk for side effects among women, others have not. “Additional research is needed to determine the interactions between sex and effects of immune checkpoint inhibitors, as well as many other possible triggers of immune-related adverse events,” he said.

“Continued work in this area will be so important to help determine how to best counsel women and to ensure early recognition and intervention for dermatologic side effects,” said Bernice Kwong, MD, director of the Supportive Dermato-Oncology Program at Stanford (Calif.) University.

The patients in the review were treated from 2011 to 2016 and underwent at least monthly evaluations by their medical teams. They were taking either nivolumabpembrolizumab, or ipilimumab or a nivolumab/ipilimumab combination.

The median age of the men in the study was 65 years; the median age of women was 60 years. Almost 98% of the participants were White. The majority received one to three infusions, most commonly with pembrolizumab monotherapy.

No funding for the study was reported. Mr. Said has disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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Treatment Delay in Melanoma: A Risk Factor Analysis of an Impending Crisis

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Melanoma is the most lethal skin cancer and is the second most common cancer in adolescents and young adults.1 It is the fifth most common cancer in the United States based on incidence, which has steadily risen for the last 2 decades.2,3 For melanoma management, delayed initial diagnosis has been associated with more advanced lesions at presentation and poorer outcomes.4 However, the prognostic implications of delaying melanoma management after diagnosis merits further scrutiny.

This study investigates the associations between melanoma treatment delay (MTD) and patient and tumor characteristics. Although most cases undergo surgical treatment first, more advanced stages may require initiating chemotherapy, radiation therapy, or immunotherapy. In addition, patients who are poor surgical candidates may opt for topical field therapy, such as imiquimod for superficial lesions, prior to more definitive treatment.5 In the Medicaid population, patients who are older than 85 years, married, and previously diagnosed with another melanoma and who also have an increased comorbidity burden have a higher likelihood of MTD.6 For nonmelanoma skin cancers, patient denial is the most common patient-specific factor accounting for treatment delay.7 For this study, our aim was to further evaluate the independent risk factors associated with MTD.

Methods

Case Selection
The National Cancer Database (NCDB) was queried for all cutaneous melanoma cases from 2004 to 2015 (N=525,271). The NCDB is an oncology database sourced from more than 1500 accredited cancer facilities in the United States and Puerto Rico. It receives cases from academic hospitals, Veterans Health Administration hospitals, and community centers.8 Annually, the database collects approximately 70% of cancer diagnoses and 48% of melanoma diagnoses in the United States.9,10 Per institutional guidelines, this analysis was determined to be exempt from institutional review board approval due to the deidentified nature of the dataset.

The selection scheme is illustrated in Table 1. International Statistical Classification of Diseases and Related Health Problems histology codes 8720/3 through 8780/3 combined with the site and morphology primary codes C44.0 through C44.9 identified all patients with a diagnosis of cutaneous melanoma. Primary site was established with the histology codes in the following manner: C44.0 through C44.4 for head/neck primary, C44.5 for trunk primary, C44.6 through C44.7 for extremity primary, and C44.8 through C44.9 for not otherwise specified. Because the NCDB does not specify cause of death, any cases in which the melanoma diagnosis was not the patient’s primary (or first) cancer diagnosis were excluded because of potential ambiguity. Cases lacking histologic confirmation of the diagnosis after primary site biopsy or cases diagnosed from autopsy reports also were excluded. Reports missing staging data or undergoing palliative management were removed. In total, 104,118 cases met the inclusion criteria.



Variables of Interest
The NCDB database codes for a variable “Treatment Started, Days from Dx” are defined as the number of days between the date of diagnosis and the date on which treatment—surgery, radiation, systemic, or other therapy—of the patient began at any facility.11 Treatment delays were classified as more than 45 days or more than 90 days. These thresholds were chosen based on previous studies citing a 45-day recommendation as the timeframe in which primary site excision of melanoma should occur for improved outcomes.1,6,12 Additionally, the postponement cutoffs were aligned with prior studies on surgical delay in melanoma for the Medicaid population.6 Delays of 45 days were labeled as moderate MTD (mMTD), whereas postponements more than 90 days were designated as severe MTD (sMTD).

Patient and tumor characteristics were analyzed for associations with MTD (Table 2). Covariates included age, sex, race (white vs nonwhite), Hispanic ethnicity, insurance status (private; Medicare, Medicaid or other government insurance; and no insurance), median annual income of the patient’s residential zip code (based on 2008-2012 census data), percentage of the population of the patient’s residential zip code without a high school degree (based on 2008-2012 census data), Charlson-Deyo (CD) comorbidity score (a weighted score derived from the sum scores for comorbid conditions), geographic location (rural, urban, and metropolitan), and treatment facility (academic vs nonacademic). Tumor characteristics included primary site (head/neck, trunk, and extremities), stage, and Breslow depth of invasion. Tumor stage was determined using the American Joint Committee on Cancer 6th and 7th editions, depending on the patient’s year of diagnosis.



Statistical Methods
χ2 and Fisher exact tests were used to analyze categorical variables involving patient demographics and tumor characteristics by bivariate analysis (Tables 3 and 4). Multivariate analysis determined the relative impact on MTD by including variables that significantly differed on bivariate χ2 analysis (Table 2). Multivariate modeling determined odds ratio (OR) and corresponding 95% CI for the risk-adjusted associations of the variables with MTD. All statistical analyses were performed using SPSS Statistics version 23 (IBM). P<.05 was considered statistically significant, and all statistical tests were 2-tailed. Line graph figures by year of diagnosis were modeled by SPSS using the mean days of delay per year. Independent sample t tests assessed for differences in mean values.

 

 

Results

The final study population included 104,118 patients, most of whom were male (56.4%), white (96.6%), and aged 50 to 74 years (54.4%). Most patients were privately insured (52.6%), had no CD comorbidities (87.5%), and lived in metropolitan cities (80.4%)(Table 3). A large majority (95,473 [91.7%]) of patients received surgery as the first means of treatment, with a smaller portion (863 [0.8%]) having unspecified systemic therapy first. The remaining cases were first treated with chemotherapy (1738 [1.7%]), immunotherapy (382 [0.4%]), or radiation (490 [0.5%]), and the rest did not specify treatment sequence. The tumors were most commonly located on the extremities (40.7%), were stage I (41.2%), and had a Breslow depth of less than 1 mm (41.6%).

Treatment delay averaged 31.55 days, with a median of 27 days. Overall mean MTD increased significantly from 29.74 days in 2004 to 32.55 days in 2015 (2-tailed t test; P<.001)(Figure). A total of 78,957 cases (75.8%) received treatment within 45 days, whereas 2467 cases (2.5%) were postponed past 90 days. On bivariate analysis, age, sex, race, insurance status, Hispanic ethnicity, median annual income of residential zip code, percentage of the population of the patient’s residential zip code with high school degrees, CD score, and academic treatment facility held significant associations with mMTD and sMTD (P<.05)(Table 3). Analyzing bivariate associations with pertinent tumor characteristics—primary site, stage, and Breslow depth—also held significant associations with mMTD and sMTD (P<.001)(Table 4).

Overall trend of melanoma treatment delay (2004-2015).



On multivariate analysis, controlling for the variables significant on bivariate analysis, multiple factors showed independent associations with MTD (Table 2). Patients aged 50 to 74 years were more likely to have mMTD (reference: <50 years; P=.029; OR=1.072). Patients 75 years and older showed greater rates of mMTD (reference: <50 years; P<.001; OR=1.278) and sMTD (P<.001; OR=1.590). Women had more mMTD (P=.013; OR=1.052). Nonwhite patients had greater rates of both mMTD (reference: white; P<.001; OR=1.405) and sMTD (P<.001; OR=1.674). Hispanic patients also had greater mMTD (reference: non-Hispanic: P<.001; OR=1.809) and sMTD (P<.001; OR=2.749). Compared to patients with private insurance, those with Medicare were more likely to have mMTD (P=.046; OR=1.054). Patients with no insurance or Medicaid/other government insurance showed more mMTD (no insurance: P<.001, OR=1.642; Medicaid/other: P<.001, OR=1.668) and sMTD (no insurance: P<.001, OR=2.582; Medicaid/other: P<.001, OR=2.336).

With respect to the median annual income of the patient’s residential zip code, patients residing in areas with a median income of $48,000 to $62,999 were less likely to have an sMTD (reference: <$38,000; P=.038; OR=0.829). Compared with patients residing in zip codes where a high percentage of the population had high school degrees, areas with higher nongraduate rates had greater overall rates of MTD (P<.001). Patients with more CD comorbidities also held an association with mMTD (CD1 with reference: CD0; P=.011; OR=1.080)(CD2 with reference: CD0; P<.001; OR=1.364) and sMTD (CD2 with reference: CD0; P<.001; OR=1.877). Academic facilities had greater rates of mMTD (reference: nonacademic facilities; P<.001; OR=1.578) and sMTD (P<.001; OR=1.366). In reference to head/neck primaries, primary sites on the trunk and extremities showed fewer mMTD (trunk: P<.001, OR=0.620; extremities: P<.001, OR=0.641) and sMTD (trunk: P<.001, OR=0.540; extremities: P<.001, OR=0.632). Compared with in situ disease, stage I melanomas were less likely to have treatment delay (mMTD: P<.001, OR=0.902; sMTD: P<.001, OR=0.690), whereas stages II (mMTD: P<.001, OR=1.130), III (mMTD: P<.001, OR=1.196; sMTD: P=.023, OR=1.204), and IV (mMTD: P<.001, OR=1.690; sMTD: P<.001, OR=2.240) were more highly associated with treatments delays.

Comment

The path to successful melanoma management involves 2 timeframes. One is time to diagnosis and the other is time to treatment. With 24.2% of patients receiving treatment later than 45 days after diagnosis, MTD is common and, according to our results, has increased on average from 2004 to 2015. This delay may be partially explained by a shortage of dermatologists, leading to longer wait times and follow-up.13,14 Melanoma treatment delay also varied based on insurance status. Unsurprisingly, those with private insurance showed the lowest rates of MTD. Those with no insurance, Medicare, or Medicaid/other government insurance likely faced greater socioeconomic barriers to health care, such as coverage issues.15 Transportation, low health literacy, and limited work schedule flexibility have been described as additional hurdles to health care that could contribute to this finding.16,17 Similarly, nonwhite patients, Hispanic patients, and those from zip codes with low high school graduation rates had more MTD. Although these findings may be explained by socioeconomic barriers and heightened distrust of the health care system, it also is important to consider physician accessibility.18,19

Considering the 2011 Affordable Care Act along with the 2014 Medicaid expansion, our study holds implications on the impact of these legislations on melanoma treatment. Studies have supported expected rises in Medicaid coverage.20,21 The overall uninsured rate in the United States declined from 16% in 2010 to 9.1% in 2015.22 In our study, the uninsured population showed the highest average MTD rates, though those with Medicaid also had significant MTD. Another treacherous hurdle for patients is the coordination of care among dermatologists, oncologists, general surgeons, plastic surgeons, and Mohs surgeons as a multidisciplinary team. Lott et al6 found that patients who received both biopsy and excision from a dermatologist had the shortest treatment delays, whereas those who had a dermatologist biopsy the site and a different surgeon—including Mohs surgeons—excise it experienced significantly greater MTDs (probablility of MTD >45 days was 31% [95% CI, 24%-37%]. This discordant care and referrals could explain the surprising finding that treatment at an academic facility was independently associated with more MTD, possibly due to the care transitions and referrals that disproportionately affect academic centers and multidisciplinary teams, as mentioned above, regarding the transition of care to other physicians (eg, plastic surgeon). A total of 70.1% of our cases treated at academic facilities reported a prior diagnosis at another facility. These results should not dissuade the pursuit of multidisciplinary treatment teams but should raise caution to untimely referrals.

Age, sex, and race were all associated with more MTD. Patients older than 50 years likely face more complex decisions regarding treatment burden, quality of life, and functional outcomes of more aggressive treatments. High rates of surgical refusal for a number of malignancies have been documented in the elderly population,23-25 which is of particular concern for the high surgery burden of head and neck melanomas,26 as further supported by the findings of more MTD for head and neck primaries. As with elderly patients, patients with higher comorbidity scores and more advanced tumors face similar family–patient care discussions to guide treatment. Additionally, women were more likely to experience MTD, which may be connected to a greater concern for cosmesis27 and necessitate more complex management options, such as Mohs micrographic surgery (a procedure that has gained some support for melanoma excision with the help of immunostaining).28

There are several limitations to this study. Accurate data rely on precise record keeping, reporting, and coding by the contributing institutions. The NCDB case diagnosis is derived from data entry without a centralized review process by experienced dermatopathologists. We could not assess the effects of tumor diameter, as these data were inadequately recorded within the dataset. The NCDB also does not provide details on specific immunotherapy or chemotherapy agents. The NCDB also is a facility-based data source, potentially biasing the melanoma data toward thicker advanced tumors more readily managed at such institutions. Lastly, it is impossible to distinguish between patient-related (ie, difficult decision-making) and health care–related (ie, health care accessibility) delays. Nonetheless, we maintain that minimizing MTD is important for survival outcomes and for limiting the progression of melanomas, regardless of the underlying rationale. We believe that our study expands on conclusions previously limited to a Medicare population.

Conclusion

According to the NCDB, mean MTD has increased significantly from 2004 to 2015. Our results suggest that MTD is relatively common in the United States, thereby increasing the risk for metastases. Higher MTD rates are independently associated with being older than 50 years, female, nonwhite, not privately insured, Hispanic, and treated at an academic facility; having a positive comorbidity history and stage II to IV tumors; and residing in a zip code with a low high school graduation rate. Stage I tumors, primaries not located on the head or neck, and residing in a zip code with a higher median income are associated with lower MTD rates. Policymakers, patients, and dermatologists should better recognize these risk factors to facilitate patient guidance and health equity.

References
  1. Huff LS, Chang CA, Thomas JF, et al. Defining an acceptable period of time from melanoma biopsy to excision. Dermatol Reports. 2012;4:E2.
  2. Matthews NH, Li WQ, Qureshi AA, et al. Epidemiology of Melanoma. Cutaneous Melanoma: Etiology and Therapy. Codon Publications; 2017.
  3. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67:7-30.
  4. Nelson BR, Hamlet KR, Gillard M, et al. Sebaceous carcinoma. J Am Acad Dermatol. 1995;33:1-15.
  5. Fan Q, Cohen S, John B, et al. Melanoma in situ treated with topical imiquimod for management of persistently positive margins: a review of treatment methods. Ochsner J. 2015;15:443-447.
  6. Lott JP, Narayan D, Soulos PR, et al. Delay of surgery for melanoma among Medicare beneficiaries. JAMA Dermatol. 2015;151:731-741.
  7. Renzi C, Mastroeni S, Mannooranparampil TJ, et al. Delay in diagnosis and treatment of squamous cell carcinoma of the skin. Acta Derm Venereol. 2010;90:595-601.
  8. Winchester DP, Stewart AK, Phillips JL, et al. The National Cancer Database: past, present, and future. Ann Surg Oncol. 2010;17:4-7.
  9. Raval MV, Bilimoria KY, Stewart AK, et al. Using the NCDB for cancer care improvement: an introduction to available quality assessment tools. J Surg Oncol. 2009;99:488-490.
  10. Turkeltaub AE, Pezzi TA, Pezzi CM, et al. Characteristics, treatment, and survival of invasive malignant melanoma (MM) in giant pigmented nevi (GPN) in adults: 976 cases from the National Cancer Data Base (NCDB). J Am Acad Dermatol. 2016;74:1128-1134.
  11. Boffa DJ, Rosen JE, Mallin K, et al. Using the National Cancer Database for outcomes research: a review. JAMA Oncol. 2017;3:1722-1728.
  12. Riker AI, Glass F, Perez I, et al. Cutaneous melanoma: methods of biopsy and definitive surgical excision. Dermatol Ther. 2005;18:387-393.
  13. Kimball AB, Resneck JS Jr. The US dermatology workforce: a specialty remains in shortage. J Am Acad Dermatol. 2008;59:741-745.
  14. Glazer AM, Farberg AS, Winkelmann RR, et al. Analysis of trends in geographic distribution and density of US dermatologists. JAMA Dermatol. 2017;153:322-325.
  15. Okoro CA, Zhao G, Dhingra SS, et al. Peer reviewed: lack of health insurance among adults aged 18 to 64 years: findings from the 2013 Behavioral Risk Factor Surveillance System. Prev Chronic Dis. 2015;12:E231.
  16. Syed ST, Gerber BS, Sharp LK. Traveling towards disease: transportation barriers to health care access. J Community Health. 2013;38:976-993.
  17. Valerio M, Cabana MD, White DF, et al. Understanding of asthma management: Medicaid parents’ perspectives. Chest. 2006;129:594-601.
  18. Kaplan CP, Nápoles A, Davis S, et al. Latinos and cancer information: perspectives of patients, health professionals and telephone cancer information specialists. J Health Dispar Res Pract. 2016;9:154-167.
  19. Armstrong K, Ravenell KL, McMurphy S, et al. Racial/ethnic differences in physician distrust in the United States. Am J Public Health. 2007;97:1283-1289.
  20. Moss HA, Havrilesky LJ, Chino J. Insurance coverage among women diagnosed with a gynecologic malignancy before and after implementation of the Affordable Care Act. Gynecol Oncol. 2017;146:457-464.
  21. Moss HA, Havrilesky LJ, Zafar SY, et al. Trends in insurance status among patients diagnosed with cancer before and after implementation of the Affordable Care Act. J Oncol Pract. 2018;14:E92-E102.
  22. Obama B. United States health care reform: progress to date and next steps. JAMA. 2016;316:525-532.
  23. Crippen MM, Brady JS, Mozeika AM, et al. Impact of body mass index on operative outcomes in head and neck free flap surgery. Otolaryngol Head Neck Surg. 2018;159:817-823.
  24. Verkooijen HM, Fioretta GM, Rapiti E, et al. Patients’ refusal of surgery strongly impairs breast cancer survival. Ann Surg. 2005;242:276-280.
  25. Wang J, Wang FW. Refusal of cancer-directed surgery strongly impairs survival of patients with localized hepatocellular carcinoma. Int J Surg Oncol. 2010;2010:381795.
  26. Zito PM, Scharf R. Cancer, melanoma, head and neck. StatPearls. StatPearls Publishing; 2018.
  27. Al-Dujaili Z, Henry M, Dorizas A, et al. Skin cancer concerns particular to women. Int J Womens Dermatol. 2017;3:S49-S51.
  28. Etzkorn JR, Jew OS, Shin TM, et al. Mohs micrographic surgery with melanoma antigen recognized by T cells 1 (MART-1) immunostaining for atypical intraepidermal melanocytic proliferation. J Am Acad Dermatol. 2018;79:1109-1116.e1
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Drs. Elias, Schwartz, and Lambert are from the Division of Dermatology, Rutgers New Jersey Medical School, Newark. Dr. Lambert also is from the Department of Pathology, Immunology, and Laboratory Medicine. Dr. John is from the Department of Dermatology, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey.

The authors report no conflict of interest.

Correspondence: Marcus L. Elias, MD, Rutgers New Jersey Medical School, 185 South Orange Ave, Newark, NJ 07103 (marcuslelias@gmail.com).

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Drs. Elias, Schwartz, and Lambert are from the Division of Dermatology, Rutgers New Jersey Medical School, Newark. Dr. Lambert also is from the Department of Pathology, Immunology, and Laboratory Medicine. Dr. John is from the Department of Dermatology, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey.

The authors report no conflict of interest.

Correspondence: Marcus L. Elias, MD, Rutgers New Jersey Medical School, 185 South Orange Ave, Newark, NJ 07103 (marcuslelias@gmail.com).

Author and Disclosure Information

Drs. Elias, Schwartz, and Lambert are from the Division of Dermatology, Rutgers New Jersey Medical School, Newark. Dr. Lambert also is from the Department of Pathology, Immunology, and Laboratory Medicine. Dr. John is from the Department of Dermatology, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey.

The authors report no conflict of interest.

Correspondence: Marcus L. Elias, MD, Rutgers New Jersey Medical School, 185 South Orange Ave, Newark, NJ 07103 (marcuslelias@gmail.com).

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Melanoma is the most lethal skin cancer and is the second most common cancer in adolescents and young adults.1 It is the fifth most common cancer in the United States based on incidence, which has steadily risen for the last 2 decades.2,3 For melanoma management, delayed initial diagnosis has been associated with more advanced lesions at presentation and poorer outcomes.4 However, the prognostic implications of delaying melanoma management after diagnosis merits further scrutiny.

This study investigates the associations between melanoma treatment delay (MTD) and patient and tumor characteristics. Although most cases undergo surgical treatment first, more advanced stages may require initiating chemotherapy, radiation therapy, or immunotherapy. In addition, patients who are poor surgical candidates may opt for topical field therapy, such as imiquimod for superficial lesions, prior to more definitive treatment.5 In the Medicaid population, patients who are older than 85 years, married, and previously diagnosed with another melanoma and who also have an increased comorbidity burden have a higher likelihood of MTD.6 For nonmelanoma skin cancers, patient denial is the most common patient-specific factor accounting for treatment delay.7 For this study, our aim was to further evaluate the independent risk factors associated with MTD.

Methods

Case Selection
The National Cancer Database (NCDB) was queried for all cutaneous melanoma cases from 2004 to 2015 (N=525,271). The NCDB is an oncology database sourced from more than 1500 accredited cancer facilities in the United States and Puerto Rico. It receives cases from academic hospitals, Veterans Health Administration hospitals, and community centers.8 Annually, the database collects approximately 70% of cancer diagnoses and 48% of melanoma diagnoses in the United States.9,10 Per institutional guidelines, this analysis was determined to be exempt from institutional review board approval due to the deidentified nature of the dataset.

The selection scheme is illustrated in Table 1. International Statistical Classification of Diseases and Related Health Problems histology codes 8720/3 through 8780/3 combined with the site and morphology primary codes C44.0 through C44.9 identified all patients with a diagnosis of cutaneous melanoma. Primary site was established with the histology codes in the following manner: C44.0 through C44.4 for head/neck primary, C44.5 for trunk primary, C44.6 through C44.7 for extremity primary, and C44.8 through C44.9 for not otherwise specified. Because the NCDB does not specify cause of death, any cases in which the melanoma diagnosis was not the patient’s primary (or first) cancer diagnosis were excluded because of potential ambiguity. Cases lacking histologic confirmation of the diagnosis after primary site biopsy or cases diagnosed from autopsy reports also were excluded. Reports missing staging data or undergoing palliative management were removed. In total, 104,118 cases met the inclusion criteria.



Variables of Interest
The NCDB database codes for a variable “Treatment Started, Days from Dx” are defined as the number of days between the date of diagnosis and the date on which treatment—surgery, radiation, systemic, or other therapy—of the patient began at any facility.11 Treatment delays were classified as more than 45 days or more than 90 days. These thresholds were chosen based on previous studies citing a 45-day recommendation as the timeframe in which primary site excision of melanoma should occur for improved outcomes.1,6,12 Additionally, the postponement cutoffs were aligned with prior studies on surgical delay in melanoma for the Medicaid population.6 Delays of 45 days were labeled as moderate MTD (mMTD), whereas postponements more than 90 days were designated as severe MTD (sMTD).

Patient and tumor characteristics were analyzed for associations with MTD (Table 2). Covariates included age, sex, race (white vs nonwhite), Hispanic ethnicity, insurance status (private; Medicare, Medicaid or other government insurance; and no insurance), median annual income of the patient’s residential zip code (based on 2008-2012 census data), percentage of the population of the patient’s residential zip code without a high school degree (based on 2008-2012 census data), Charlson-Deyo (CD) comorbidity score (a weighted score derived from the sum scores for comorbid conditions), geographic location (rural, urban, and metropolitan), and treatment facility (academic vs nonacademic). Tumor characteristics included primary site (head/neck, trunk, and extremities), stage, and Breslow depth of invasion. Tumor stage was determined using the American Joint Committee on Cancer 6th and 7th editions, depending on the patient’s year of diagnosis.



Statistical Methods
χ2 and Fisher exact tests were used to analyze categorical variables involving patient demographics and tumor characteristics by bivariate analysis (Tables 3 and 4). Multivariate analysis determined the relative impact on MTD by including variables that significantly differed on bivariate χ2 analysis (Table 2). Multivariate modeling determined odds ratio (OR) and corresponding 95% CI for the risk-adjusted associations of the variables with MTD. All statistical analyses were performed using SPSS Statistics version 23 (IBM). P<.05 was considered statistically significant, and all statistical tests were 2-tailed. Line graph figures by year of diagnosis were modeled by SPSS using the mean days of delay per year. Independent sample t tests assessed for differences in mean values.

 

 

Results

The final study population included 104,118 patients, most of whom were male (56.4%), white (96.6%), and aged 50 to 74 years (54.4%). Most patients were privately insured (52.6%), had no CD comorbidities (87.5%), and lived in metropolitan cities (80.4%)(Table 3). A large majority (95,473 [91.7%]) of patients received surgery as the first means of treatment, with a smaller portion (863 [0.8%]) having unspecified systemic therapy first. The remaining cases were first treated with chemotherapy (1738 [1.7%]), immunotherapy (382 [0.4%]), or radiation (490 [0.5%]), and the rest did not specify treatment sequence. The tumors were most commonly located on the extremities (40.7%), were stage I (41.2%), and had a Breslow depth of less than 1 mm (41.6%).

Treatment delay averaged 31.55 days, with a median of 27 days. Overall mean MTD increased significantly from 29.74 days in 2004 to 32.55 days in 2015 (2-tailed t test; P<.001)(Figure). A total of 78,957 cases (75.8%) received treatment within 45 days, whereas 2467 cases (2.5%) were postponed past 90 days. On bivariate analysis, age, sex, race, insurance status, Hispanic ethnicity, median annual income of residential zip code, percentage of the population of the patient’s residential zip code with high school degrees, CD score, and academic treatment facility held significant associations with mMTD and sMTD (P<.05)(Table 3). Analyzing bivariate associations with pertinent tumor characteristics—primary site, stage, and Breslow depth—also held significant associations with mMTD and sMTD (P<.001)(Table 4).

Overall trend of melanoma treatment delay (2004-2015).



On multivariate analysis, controlling for the variables significant on bivariate analysis, multiple factors showed independent associations with MTD (Table 2). Patients aged 50 to 74 years were more likely to have mMTD (reference: <50 years; P=.029; OR=1.072). Patients 75 years and older showed greater rates of mMTD (reference: <50 years; P<.001; OR=1.278) and sMTD (P<.001; OR=1.590). Women had more mMTD (P=.013; OR=1.052). Nonwhite patients had greater rates of both mMTD (reference: white; P<.001; OR=1.405) and sMTD (P<.001; OR=1.674). Hispanic patients also had greater mMTD (reference: non-Hispanic: P<.001; OR=1.809) and sMTD (P<.001; OR=2.749). Compared to patients with private insurance, those with Medicare were more likely to have mMTD (P=.046; OR=1.054). Patients with no insurance or Medicaid/other government insurance showed more mMTD (no insurance: P<.001, OR=1.642; Medicaid/other: P<.001, OR=1.668) and sMTD (no insurance: P<.001, OR=2.582; Medicaid/other: P<.001, OR=2.336).

With respect to the median annual income of the patient’s residential zip code, patients residing in areas with a median income of $48,000 to $62,999 were less likely to have an sMTD (reference: <$38,000; P=.038; OR=0.829). Compared with patients residing in zip codes where a high percentage of the population had high school degrees, areas with higher nongraduate rates had greater overall rates of MTD (P<.001). Patients with more CD comorbidities also held an association with mMTD (CD1 with reference: CD0; P=.011; OR=1.080)(CD2 with reference: CD0; P<.001; OR=1.364) and sMTD (CD2 with reference: CD0; P<.001; OR=1.877). Academic facilities had greater rates of mMTD (reference: nonacademic facilities; P<.001; OR=1.578) and sMTD (P<.001; OR=1.366). In reference to head/neck primaries, primary sites on the trunk and extremities showed fewer mMTD (trunk: P<.001, OR=0.620; extremities: P<.001, OR=0.641) and sMTD (trunk: P<.001, OR=0.540; extremities: P<.001, OR=0.632). Compared with in situ disease, stage I melanomas were less likely to have treatment delay (mMTD: P<.001, OR=0.902; sMTD: P<.001, OR=0.690), whereas stages II (mMTD: P<.001, OR=1.130), III (mMTD: P<.001, OR=1.196; sMTD: P=.023, OR=1.204), and IV (mMTD: P<.001, OR=1.690; sMTD: P<.001, OR=2.240) were more highly associated with treatments delays.

Comment

The path to successful melanoma management involves 2 timeframes. One is time to diagnosis and the other is time to treatment. With 24.2% of patients receiving treatment later than 45 days after diagnosis, MTD is common and, according to our results, has increased on average from 2004 to 2015. This delay may be partially explained by a shortage of dermatologists, leading to longer wait times and follow-up.13,14 Melanoma treatment delay also varied based on insurance status. Unsurprisingly, those with private insurance showed the lowest rates of MTD. Those with no insurance, Medicare, or Medicaid/other government insurance likely faced greater socioeconomic barriers to health care, such as coverage issues.15 Transportation, low health literacy, and limited work schedule flexibility have been described as additional hurdles to health care that could contribute to this finding.16,17 Similarly, nonwhite patients, Hispanic patients, and those from zip codes with low high school graduation rates had more MTD. Although these findings may be explained by socioeconomic barriers and heightened distrust of the health care system, it also is important to consider physician accessibility.18,19

Considering the 2011 Affordable Care Act along with the 2014 Medicaid expansion, our study holds implications on the impact of these legislations on melanoma treatment. Studies have supported expected rises in Medicaid coverage.20,21 The overall uninsured rate in the United States declined from 16% in 2010 to 9.1% in 2015.22 In our study, the uninsured population showed the highest average MTD rates, though those with Medicaid also had significant MTD. Another treacherous hurdle for patients is the coordination of care among dermatologists, oncologists, general surgeons, plastic surgeons, and Mohs surgeons as a multidisciplinary team. Lott et al6 found that patients who received both biopsy and excision from a dermatologist had the shortest treatment delays, whereas those who had a dermatologist biopsy the site and a different surgeon—including Mohs surgeons—excise it experienced significantly greater MTDs (probablility of MTD >45 days was 31% [95% CI, 24%-37%]. This discordant care and referrals could explain the surprising finding that treatment at an academic facility was independently associated with more MTD, possibly due to the care transitions and referrals that disproportionately affect academic centers and multidisciplinary teams, as mentioned above, regarding the transition of care to other physicians (eg, plastic surgeon). A total of 70.1% of our cases treated at academic facilities reported a prior diagnosis at another facility. These results should not dissuade the pursuit of multidisciplinary treatment teams but should raise caution to untimely referrals.

Age, sex, and race were all associated with more MTD. Patients older than 50 years likely face more complex decisions regarding treatment burden, quality of life, and functional outcomes of more aggressive treatments. High rates of surgical refusal for a number of malignancies have been documented in the elderly population,23-25 which is of particular concern for the high surgery burden of head and neck melanomas,26 as further supported by the findings of more MTD for head and neck primaries. As with elderly patients, patients with higher comorbidity scores and more advanced tumors face similar family–patient care discussions to guide treatment. Additionally, women were more likely to experience MTD, which may be connected to a greater concern for cosmesis27 and necessitate more complex management options, such as Mohs micrographic surgery (a procedure that has gained some support for melanoma excision with the help of immunostaining).28

There are several limitations to this study. Accurate data rely on precise record keeping, reporting, and coding by the contributing institutions. The NCDB case diagnosis is derived from data entry without a centralized review process by experienced dermatopathologists. We could not assess the effects of tumor diameter, as these data were inadequately recorded within the dataset. The NCDB also does not provide details on specific immunotherapy or chemotherapy agents. The NCDB also is a facility-based data source, potentially biasing the melanoma data toward thicker advanced tumors more readily managed at such institutions. Lastly, it is impossible to distinguish between patient-related (ie, difficult decision-making) and health care–related (ie, health care accessibility) delays. Nonetheless, we maintain that minimizing MTD is important for survival outcomes and for limiting the progression of melanomas, regardless of the underlying rationale. We believe that our study expands on conclusions previously limited to a Medicare population.

Conclusion

According to the NCDB, mean MTD has increased significantly from 2004 to 2015. Our results suggest that MTD is relatively common in the United States, thereby increasing the risk for metastases. Higher MTD rates are independently associated with being older than 50 years, female, nonwhite, not privately insured, Hispanic, and treated at an academic facility; having a positive comorbidity history and stage II to IV tumors; and residing in a zip code with a low high school graduation rate. Stage I tumors, primaries not located on the head or neck, and residing in a zip code with a higher median income are associated with lower MTD rates. Policymakers, patients, and dermatologists should better recognize these risk factors to facilitate patient guidance and health equity.

Melanoma is the most lethal skin cancer and is the second most common cancer in adolescents and young adults.1 It is the fifth most common cancer in the United States based on incidence, which has steadily risen for the last 2 decades.2,3 For melanoma management, delayed initial diagnosis has been associated with more advanced lesions at presentation and poorer outcomes.4 However, the prognostic implications of delaying melanoma management after diagnosis merits further scrutiny.

This study investigates the associations between melanoma treatment delay (MTD) and patient and tumor characteristics. Although most cases undergo surgical treatment first, more advanced stages may require initiating chemotherapy, radiation therapy, or immunotherapy. In addition, patients who are poor surgical candidates may opt for topical field therapy, such as imiquimod for superficial lesions, prior to more definitive treatment.5 In the Medicaid population, patients who are older than 85 years, married, and previously diagnosed with another melanoma and who also have an increased comorbidity burden have a higher likelihood of MTD.6 For nonmelanoma skin cancers, patient denial is the most common patient-specific factor accounting for treatment delay.7 For this study, our aim was to further evaluate the independent risk factors associated with MTD.

Methods

Case Selection
The National Cancer Database (NCDB) was queried for all cutaneous melanoma cases from 2004 to 2015 (N=525,271). The NCDB is an oncology database sourced from more than 1500 accredited cancer facilities in the United States and Puerto Rico. It receives cases from academic hospitals, Veterans Health Administration hospitals, and community centers.8 Annually, the database collects approximately 70% of cancer diagnoses and 48% of melanoma diagnoses in the United States.9,10 Per institutional guidelines, this analysis was determined to be exempt from institutional review board approval due to the deidentified nature of the dataset.

The selection scheme is illustrated in Table 1. International Statistical Classification of Diseases and Related Health Problems histology codes 8720/3 through 8780/3 combined with the site and morphology primary codes C44.0 through C44.9 identified all patients with a diagnosis of cutaneous melanoma. Primary site was established with the histology codes in the following manner: C44.0 through C44.4 for head/neck primary, C44.5 for trunk primary, C44.6 through C44.7 for extremity primary, and C44.8 through C44.9 for not otherwise specified. Because the NCDB does not specify cause of death, any cases in which the melanoma diagnosis was not the patient’s primary (or first) cancer diagnosis were excluded because of potential ambiguity. Cases lacking histologic confirmation of the diagnosis after primary site biopsy or cases diagnosed from autopsy reports also were excluded. Reports missing staging data or undergoing palliative management were removed. In total, 104,118 cases met the inclusion criteria.



Variables of Interest
The NCDB database codes for a variable “Treatment Started, Days from Dx” are defined as the number of days between the date of diagnosis and the date on which treatment—surgery, radiation, systemic, or other therapy—of the patient began at any facility.11 Treatment delays were classified as more than 45 days or more than 90 days. These thresholds were chosen based on previous studies citing a 45-day recommendation as the timeframe in which primary site excision of melanoma should occur for improved outcomes.1,6,12 Additionally, the postponement cutoffs were aligned with prior studies on surgical delay in melanoma for the Medicaid population.6 Delays of 45 days were labeled as moderate MTD (mMTD), whereas postponements more than 90 days were designated as severe MTD (sMTD).

Patient and tumor characteristics were analyzed for associations with MTD (Table 2). Covariates included age, sex, race (white vs nonwhite), Hispanic ethnicity, insurance status (private; Medicare, Medicaid or other government insurance; and no insurance), median annual income of the patient’s residential zip code (based on 2008-2012 census data), percentage of the population of the patient’s residential zip code without a high school degree (based on 2008-2012 census data), Charlson-Deyo (CD) comorbidity score (a weighted score derived from the sum scores for comorbid conditions), geographic location (rural, urban, and metropolitan), and treatment facility (academic vs nonacademic). Tumor characteristics included primary site (head/neck, trunk, and extremities), stage, and Breslow depth of invasion. Tumor stage was determined using the American Joint Committee on Cancer 6th and 7th editions, depending on the patient’s year of diagnosis.



Statistical Methods
χ2 and Fisher exact tests were used to analyze categorical variables involving patient demographics and tumor characteristics by bivariate analysis (Tables 3 and 4). Multivariate analysis determined the relative impact on MTD by including variables that significantly differed on bivariate χ2 analysis (Table 2). Multivariate modeling determined odds ratio (OR) and corresponding 95% CI for the risk-adjusted associations of the variables with MTD. All statistical analyses were performed using SPSS Statistics version 23 (IBM). P<.05 was considered statistically significant, and all statistical tests were 2-tailed. Line graph figures by year of diagnosis were modeled by SPSS using the mean days of delay per year. Independent sample t tests assessed for differences in mean values.

 

 

Results

The final study population included 104,118 patients, most of whom were male (56.4%), white (96.6%), and aged 50 to 74 years (54.4%). Most patients were privately insured (52.6%), had no CD comorbidities (87.5%), and lived in metropolitan cities (80.4%)(Table 3). A large majority (95,473 [91.7%]) of patients received surgery as the first means of treatment, with a smaller portion (863 [0.8%]) having unspecified systemic therapy first. The remaining cases were first treated with chemotherapy (1738 [1.7%]), immunotherapy (382 [0.4%]), or radiation (490 [0.5%]), and the rest did not specify treatment sequence. The tumors were most commonly located on the extremities (40.7%), were stage I (41.2%), and had a Breslow depth of less than 1 mm (41.6%).

Treatment delay averaged 31.55 days, with a median of 27 days. Overall mean MTD increased significantly from 29.74 days in 2004 to 32.55 days in 2015 (2-tailed t test; P<.001)(Figure). A total of 78,957 cases (75.8%) received treatment within 45 days, whereas 2467 cases (2.5%) were postponed past 90 days. On bivariate analysis, age, sex, race, insurance status, Hispanic ethnicity, median annual income of residential zip code, percentage of the population of the patient’s residential zip code with high school degrees, CD score, and academic treatment facility held significant associations with mMTD and sMTD (P<.05)(Table 3). Analyzing bivariate associations with pertinent tumor characteristics—primary site, stage, and Breslow depth—also held significant associations with mMTD and sMTD (P<.001)(Table 4).

Overall trend of melanoma treatment delay (2004-2015).



On multivariate analysis, controlling for the variables significant on bivariate analysis, multiple factors showed independent associations with MTD (Table 2). Patients aged 50 to 74 years were more likely to have mMTD (reference: <50 years; P=.029; OR=1.072). Patients 75 years and older showed greater rates of mMTD (reference: <50 years; P<.001; OR=1.278) and sMTD (P<.001; OR=1.590). Women had more mMTD (P=.013; OR=1.052). Nonwhite patients had greater rates of both mMTD (reference: white; P<.001; OR=1.405) and sMTD (P<.001; OR=1.674). Hispanic patients also had greater mMTD (reference: non-Hispanic: P<.001; OR=1.809) and sMTD (P<.001; OR=2.749). Compared to patients with private insurance, those with Medicare were more likely to have mMTD (P=.046; OR=1.054). Patients with no insurance or Medicaid/other government insurance showed more mMTD (no insurance: P<.001, OR=1.642; Medicaid/other: P<.001, OR=1.668) and sMTD (no insurance: P<.001, OR=2.582; Medicaid/other: P<.001, OR=2.336).

With respect to the median annual income of the patient’s residential zip code, patients residing in areas with a median income of $48,000 to $62,999 were less likely to have an sMTD (reference: <$38,000; P=.038; OR=0.829). Compared with patients residing in zip codes where a high percentage of the population had high school degrees, areas with higher nongraduate rates had greater overall rates of MTD (P<.001). Patients with more CD comorbidities also held an association with mMTD (CD1 with reference: CD0; P=.011; OR=1.080)(CD2 with reference: CD0; P<.001; OR=1.364) and sMTD (CD2 with reference: CD0; P<.001; OR=1.877). Academic facilities had greater rates of mMTD (reference: nonacademic facilities; P<.001; OR=1.578) and sMTD (P<.001; OR=1.366). In reference to head/neck primaries, primary sites on the trunk and extremities showed fewer mMTD (trunk: P<.001, OR=0.620; extremities: P<.001, OR=0.641) and sMTD (trunk: P<.001, OR=0.540; extremities: P<.001, OR=0.632). Compared with in situ disease, stage I melanomas were less likely to have treatment delay (mMTD: P<.001, OR=0.902; sMTD: P<.001, OR=0.690), whereas stages II (mMTD: P<.001, OR=1.130), III (mMTD: P<.001, OR=1.196; sMTD: P=.023, OR=1.204), and IV (mMTD: P<.001, OR=1.690; sMTD: P<.001, OR=2.240) were more highly associated with treatments delays.

Comment

The path to successful melanoma management involves 2 timeframes. One is time to diagnosis and the other is time to treatment. With 24.2% of patients receiving treatment later than 45 days after diagnosis, MTD is common and, according to our results, has increased on average from 2004 to 2015. This delay may be partially explained by a shortage of dermatologists, leading to longer wait times and follow-up.13,14 Melanoma treatment delay also varied based on insurance status. Unsurprisingly, those with private insurance showed the lowest rates of MTD. Those with no insurance, Medicare, or Medicaid/other government insurance likely faced greater socioeconomic barriers to health care, such as coverage issues.15 Transportation, low health literacy, and limited work schedule flexibility have been described as additional hurdles to health care that could contribute to this finding.16,17 Similarly, nonwhite patients, Hispanic patients, and those from zip codes with low high school graduation rates had more MTD. Although these findings may be explained by socioeconomic barriers and heightened distrust of the health care system, it also is important to consider physician accessibility.18,19

Considering the 2011 Affordable Care Act along with the 2014 Medicaid expansion, our study holds implications on the impact of these legislations on melanoma treatment. Studies have supported expected rises in Medicaid coverage.20,21 The overall uninsured rate in the United States declined from 16% in 2010 to 9.1% in 2015.22 In our study, the uninsured population showed the highest average MTD rates, though those with Medicaid also had significant MTD. Another treacherous hurdle for patients is the coordination of care among dermatologists, oncologists, general surgeons, plastic surgeons, and Mohs surgeons as a multidisciplinary team. Lott et al6 found that patients who received both biopsy and excision from a dermatologist had the shortest treatment delays, whereas those who had a dermatologist biopsy the site and a different surgeon—including Mohs surgeons—excise it experienced significantly greater MTDs (probablility of MTD >45 days was 31% [95% CI, 24%-37%]. This discordant care and referrals could explain the surprising finding that treatment at an academic facility was independently associated with more MTD, possibly due to the care transitions and referrals that disproportionately affect academic centers and multidisciplinary teams, as mentioned above, regarding the transition of care to other physicians (eg, plastic surgeon). A total of 70.1% of our cases treated at academic facilities reported a prior diagnosis at another facility. These results should not dissuade the pursuit of multidisciplinary treatment teams but should raise caution to untimely referrals.

Age, sex, and race were all associated with more MTD. Patients older than 50 years likely face more complex decisions regarding treatment burden, quality of life, and functional outcomes of more aggressive treatments. High rates of surgical refusal for a number of malignancies have been documented in the elderly population,23-25 which is of particular concern for the high surgery burden of head and neck melanomas,26 as further supported by the findings of more MTD for head and neck primaries. As with elderly patients, patients with higher comorbidity scores and more advanced tumors face similar family–patient care discussions to guide treatment. Additionally, women were more likely to experience MTD, which may be connected to a greater concern for cosmesis27 and necessitate more complex management options, such as Mohs micrographic surgery (a procedure that has gained some support for melanoma excision with the help of immunostaining).28

There are several limitations to this study. Accurate data rely on precise record keeping, reporting, and coding by the contributing institutions. The NCDB case diagnosis is derived from data entry without a centralized review process by experienced dermatopathologists. We could not assess the effects of tumor diameter, as these data were inadequately recorded within the dataset. The NCDB also does not provide details on specific immunotherapy or chemotherapy agents. The NCDB also is a facility-based data source, potentially biasing the melanoma data toward thicker advanced tumors more readily managed at such institutions. Lastly, it is impossible to distinguish between patient-related (ie, difficult decision-making) and health care–related (ie, health care accessibility) delays. Nonetheless, we maintain that minimizing MTD is important for survival outcomes and for limiting the progression of melanomas, regardless of the underlying rationale. We believe that our study expands on conclusions previously limited to a Medicare population.

Conclusion

According to the NCDB, mean MTD has increased significantly from 2004 to 2015. Our results suggest that MTD is relatively common in the United States, thereby increasing the risk for metastases. Higher MTD rates are independently associated with being older than 50 years, female, nonwhite, not privately insured, Hispanic, and treated at an academic facility; having a positive comorbidity history and stage II to IV tumors; and residing in a zip code with a low high school graduation rate. Stage I tumors, primaries not located on the head or neck, and residing in a zip code with a higher median income are associated with lower MTD rates. Policymakers, patients, and dermatologists should better recognize these risk factors to facilitate patient guidance and health equity.

References
  1. Huff LS, Chang CA, Thomas JF, et al. Defining an acceptable period of time from melanoma biopsy to excision. Dermatol Reports. 2012;4:E2.
  2. Matthews NH, Li WQ, Qureshi AA, et al. Epidemiology of Melanoma. Cutaneous Melanoma: Etiology and Therapy. Codon Publications; 2017.
  3. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67:7-30.
  4. Nelson BR, Hamlet KR, Gillard M, et al. Sebaceous carcinoma. J Am Acad Dermatol. 1995;33:1-15.
  5. Fan Q, Cohen S, John B, et al. Melanoma in situ treated with topical imiquimod for management of persistently positive margins: a review of treatment methods. Ochsner J. 2015;15:443-447.
  6. Lott JP, Narayan D, Soulos PR, et al. Delay of surgery for melanoma among Medicare beneficiaries. JAMA Dermatol. 2015;151:731-741.
  7. Renzi C, Mastroeni S, Mannooranparampil TJ, et al. Delay in diagnosis and treatment of squamous cell carcinoma of the skin. Acta Derm Venereol. 2010;90:595-601.
  8. Winchester DP, Stewart AK, Phillips JL, et al. The National Cancer Database: past, present, and future. Ann Surg Oncol. 2010;17:4-7.
  9. Raval MV, Bilimoria KY, Stewart AK, et al. Using the NCDB for cancer care improvement: an introduction to available quality assessment tools. J Surg Oncol. 2009;99:488-490.
  10. Turkeltaub AE, Pezzi TA, Pezzi CM, et al. Characteristics, treatment, and survival of invasive malignant melanoma (MM) in giant pigmented nevi (GPN) in adults: 976 cases from the National Cancer Data Base (NCDB). J Am Acad Dermatol. 2016;74:1128-1134.
  11. Boffa DJ, Rosen JE, Mallin K, et al. Using the National Cancer Database for outcomes research: a review. JAMA Oncol. 2017;3:1722-1728.
  12. Riker AI, Glass F, Perez I, et al. Cutaneous melanoma: methods of biopsy and definitive surgical excision. Dermatol Ther. 2005;18:387-393.
  13. Kimball AB, Resneck JS Jr. The US dermatology workforce: a specialty remains in shortage. J Am Acad Dermatol. 2008;59:741-745.
  14. Glazer AM, Farberg AS, Winkelmann RR, et al. Analysis of trends in geographic distribution and density of US dermatologists. JAMA Dermatol. 2017;153:322-325.
  15. Okoro CA, Zhao G, Dhingra SS, et al. Peer reviewed: lack of health insurance among adults aged 18 to 64 years: findings from the 2013 Behavioral Risk Factor Surveillance System. Prev Chronic Dis. 2015;12:E231.
  16. Syed ST, Gerber BS, Sharp LK. Traveling towards disease: transportation barriers to health care access. J Community Health. 2013;38:976-993.
  17. Valerio M, Cabana MD, White DF, et al. Understanding of asthma management: Medicaid parents’ perspectives. Chest. 2006;129:594-601.
  18. Kaplan CP, Nápoles A, Davis S, et al. Latinos and cancer information: perspectives of patients, health professionals and telephone cancer information specialists. J Health Dispar Res Pract. 2016;9:154-167.
  19. Armstrong K, Ravenell KL, McMurphy S, et al. Racial/ethnic differences in physician distrust in the United States. Am J Public Health. 2007;97:1283-1289.
  20. Moss HA, Havrilesky LJ, Chino J. Insurance coverage among women diagnosed with a gynecologic malignancy before and after implementation of the Affordable Care Act. Gynecol Oncol. 2017;146:457-464.
  21. Moss HA, Havrilesky LJ, Zafar SY, et al. Trends in insurance status among patients diagnosed with cancer before and after implementation of the Affordable Care Act. J Oncol Pract. 2018;14:E92-E102.
  22. Obama B. United States health care reform: progress to date and next steps. JAMA. 2016;316:525-532.
  23. Crippen MM, Brady JS, Mozeika AM, et al. Impact of body mass index on operative outcomes in head and neck free flap surgery. Otolaryngol Head Neck Surg. 2018;159:817-823.
  24. Verkooijen HM, Fioretta GM, Rapiti E, et al. Patients’ refusal of surgery strongly impairs breast cancer survival. Ann Surg. 2005;242:276-280.
  25. Wang J, Wang FW. Refusal of cancer-directed surgery strongly impairs survival of patients with localized hepatocellular carcinoma. Int J Surg Oncol. 2010;2010:381795.
  26. Zito PM, Scharf R. Cancer, melanoma, head and neck. StatPearls. StatPearls Publishing; 2018.
  27. Al-Dujaili Z, Henry M, Dorizas A, et al. Skin cancer concerns particular to women. Int J Womens Dermatol. 2017;3:S49-S51.
  28. Etzkorn JR, Jew OS, Shin TM, et al. Mohs micrographic surgery with melanoma antigen recognized by T cells 1 (MART-1) immunostaining for atypical intraepidermal melanocytic proliferation. J Am Acad Dermatol. 2018;79:1109-1116.e1
References
  1. Huff LS, Chang CA, Thomas JF, et al. Defining an acceptable period of time from melanoma biopsy to excision. Dermatol Reports. 2012;4:E2.
  2. Matthews NH, Li WQ, Qureshi AA, et al. Epidemiology of Melanoma. Cutaneous Melanoma: Etiology and Therapy. Codon Publications; 2017.
  3. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67:7-30.
  4. Nelson BR, Hamlet KR, Gillard M, et al. Sebaceous carcinoma. J Am Acad Dermatol. 1995;33:1-15.
  5. Fan Q, Cohen S, John B, et al. Melanoma in situ treated with topical imiquimod for management of persistently positive margins: a review of treatment methods. Ochsner J. 2015;15:443-447.
  6. Lott JP, Narayan D, Soulos PR, et al. Delay of surgery for melanoma among Medicare beneficiaries. JAMA Dermatol. 2015;151:731-741.
  7. Renzi C, Mastroeni S, Mannooranparampil TJ, et al. Delay in diagnosis and treatment of squamous cell carcinoma of the skin. Acta Derm Venereol. 2010;90:595-601.
  8. Winchester DP, Stewart AK, Phillips JL, et al. The National Cancer Database: past, present, and future. Ann Surg Oncol. 2010;17:4-7.
  9. Raval MV, Bilimoria KY, Stewart AK, et al. Using the NCDB for cancer care improvement: an introduction to available quality assessment tools. J Surg Oncol. 2009;99:488-490.
  10. Turkeltaub AE, Pezzi TA, Pezzi CM, et al. Characteristics, treatment, and survival of invasive malignant melanoma (MM) in giant pigmented nevi (GPN) in adults: 976 cases from the National Cancer Data Base (NCDB). J Am Acad Dermatol. 2016;74:1128-1134.
  11. Boffa DJ, Rosen JE, Mallin K, et al. Using the National Cancer Database for outcomes research: a review. JAMA Oncol. 2017;3:1722-1728.
  12. Riker AI, Glass F, Perez I, et al. Cutaneous melanoma: methods of biopsy and definitive surgical excision. Dermatol Ther. 2005;18:387-393.
  13. Kimball AB, Resneck JS Jr. The US dermatology workforce: a specialty remains in shortage. J Am Acad Dermatol. 2008;59:741-745.
  14. Glazer AM, Farberg AS, Winkelmann RR, et al. Analysis of trends in geographic distribution and density of US dermatologists. JAMA Dermatol. 2017;153:322-325.
  15. Okoro CA, Zhao G, Dhingra SS, et al. Peer reviewed: lack of health insurance among adults aged 18 to 64 years: findings from the 2013 Behavioral Risk Factor Surveillance System. Prev Chronic Dis. 2015;12:E231.
  16. Syed ST, Gerber BS, Sharp LK. Traveling towards disease: transportation barriers to health care access. J Community Health. 2013;38:976-993.
  17. Valerio M, Cabana MD, White DF, et al. Understanding of asthma management: Medicaid parents’ perspectives. Chest. 2006;129:594-601.
  18. Kaplan CP, Nápoles A, Davis S, et al. Latinos and cancer information: perspectives of patients, health professionals and telephone cancer information specialists. J Health Dispar Res Pract. 2016;9:154-167.
  19. Armstrong K, Ravenell KL, McMurphy S, et al. Racial/ethnic differences in physician distrust in the United States. Am J Public Health. 2007;97:1283-1289.
  20. Moss HA, Havrilesky LJ, Chino J. Insurance coverage among women diagnosed with a gynecologic malignancy before and after implementation of the Affordable Care Act. Gynecol Oncol. 2017;146:457-464.
  21. Moss HA, Havrilesky LJ, Zafar SY, et al. Trends in insurance status among patients diagnosed with cancer before and after implementation of the Affordable Care Act. J Oncol Pract. 2018;14:E92-E102.
  22. Obama B. United States health care reform: progress to date and next steps. JAMA. 2016;316:525-532.
  23. Crippen MM, Brady JS, Mozeika AM, et al. Impact of body mass index on operative outcomes in head and neck free flap surgery. Otolaryngol Head Neck Surg. 2018;159:817-823.
  24. Verkooijen HM, Fioretta GM, Rapiti E, et al. Patients’ refusal of surgery strongly impairs breast cancer survival. Ann Surg. 2005;242:276-280.
  25. Wang J, Wang FW. Refusal of cancer-directed surgery strongly impairs survival of patients with localized hepatocellular carcinoma. Int J Surg Oncol. 2010;2010:381795.
  26. Zito PM, Scharf R. Cancer, melanoma, head and neck. StatPearls. StatPearls Publishing; 2018.
  27. Al-Dujaili Z, Henry M, Dorizas A, et al. Skin cancer concerns particular to women. Int J Womens Dermatol. 2017;3:S49-S51.
  28. Etzkorn JR, Jew OS, Shin TM, et al. Mohs micrographic surgery with melanoma antigen recognized by T cells 1 (MART-1) immunostaining for atypical intraepidermal melanocytic proliferation. J Am Acad Dermatol. 2018;79:1109-1116.e1
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  • Melanoma treatment delays (MTDs) have been linked to poor outcomes.
  • Based on the National Cancer Database, the mean MTD has increased significantly from 2004 to 2015 (P11<.001).
  • More delays are seen in patients who are older than 50 years, female, nonwhite, not privately insured, and treated at an academic facility and who have more advanced tumor stage and head/neck primaries.
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For diagnosing skin lesions, AI risks failing in skin of color

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In the analysis of images for detecting potential pathology, artificial intelligence (AI) is showing enormous promise across multiple fields of medicine. But the technology in dermatology is bound to fail in skin of color if training does not specifically address these skin types, according to Adewole S. Adamson, MD, who outlined this issue at the American Academy of Dermatology Virtual Meeting Experience.

Dr. Adewole S. Adamson

“Machine learning algorithms are only as good as the inputs through which they learn. Without representation from individuals with skin of color, we are at risk of creating a new source of racial disparity in patient care,” Dr. Adamson, assistant professor in the division of dermatology, department of internal medicine, University of Texas at Austin, said at the meeting.

Diagnostic algorithms using AI are typically based on deep learning, a subset of machine learning that depends on artificial neural networks. In the case of image processing, neural networks can “learn” to recognize objects, faces, or, in the realm of health care, disease, from exposure to multiple images.

There are many other variables that affect the accuracy of deep learning for diagnostic algorithms, including the depth of the layering through which the process distills multiple inputs of information, but the number of inputs is critical. In the case of skin lesions, machines cannot learn to recognize features of different skin types without exposure.

“There are studies demonstrating that dermatologists can be outperformed for detection of skin cancers by AI, so this is going to be an increasingly powerful tool,” Dr. Adamson said. The problem is that “there has been very little representation in darker skin types” in the algorithms developed so far.

The risk is that AI will exacerbate an existing problem. Skin cancer in darker skin is less common but already underdiagnosed, independent of AI. Per 100,000 males in the United States, the rate of melanoma is about 30-fold greater in White men than in Black men (33.0 vs. 1.0). Among females, the racial difference is smaller but still enormous (20.2 vs. 1.2 per 100,000 females), according to U.S. data.

For the low representation of darker skin in studies so far with AI, “one of the arguments is that skin cancer is not a big deal in darker skin types,” Dr. Adamson said.

It might be the other way around. The relative infrequency with which skin cancer occurs in the Black population in the United States might explain a low level of suspicion and ultimately delays in diagnosis, which, in turn, leads to worse outcomes. According to one analysis drawn from the Surveillance, Epidemiology and End-Result (SEER) database (1998-2011), the proportion of patients with regionally advanced or distant disease was nearly twice as great (11.6% vs. 6.0%; P < .05) in Black patients, relative to White patients.



Not surprisingly, given the importance of early diagnosis of cancers overall and skin cancer specifically, the mean survival for malignant melanoma in Black patients was almost 4 years lower than in White patients (10.8 vs. 14.6 years; P < .001) for nodular melanoma, the same study found.

In humans, bias is reasonably attributed in many cases to judgments made on a small sample size. The problem in AI is analogous. Dr. Adamson, who has published research on the potential for machine learning to contribute to health care disparities in dermatology, cited work done by Joy Buolamwini, a graduate researcher in the media lab at the Massachusetts Institute of Technology. In one study she conducted, the rate of AI facial recognition failure was 1% in White males, 7% in White females, 12% in skin-of-color males, and 35% in skin-of-color females. Fewer inputs of skin of color is the likely explanation, Dr. Adamson said.

The potential for racial bias from AI in the diagnosis of disease increases and becomes more complex when inputs beyond imaging, such as past medical history, are included. Dr. Adamson warned of the potential for “bias to creep in” when there is failure to account for societal, cultural, or other differences that distinguish one patient group from another. However, for skin cancer or other diseases based on images alone, he said there are solutions.

“We are in the early days, and there is time to change this,” Dr. Adamson said, referring to the low representation of skin of color in AI training sets. In addition to including more skin types to train recognition, creating AI algorithms specifically for dark skin is another potential approach.

However, his key point was the importance of recognizing the need for solutions.

“AI is the future, but we must apply the same rigor to AI as to other medical interventions to ensure that the technology is not applied in a biased fashion,” he said.

Susan M. Swetter, MD, professor of dermatology and director of the pigmented lesion and melanoma program at Stanford (Calif.) University Medical Center and Cancer Institute, agreed. As someone who has been following the progress of AI in the diagnosis of skin cancer, Dr. Swetter recognizes the potential for this technology to increase diagnostic efficiency and accuracy, but she also called for studies specific to skin of color.

Dr. Susan Swetter


The algorithms “have not yet been adequately evaluated in people of color, particularly Black patients in whom dermoscopic criteria for benign versus malignant melanocytic neoplasms differ from those with lighter skin types,” Dr. Swetter said in an interview.

She sees the same fix as that proposed by Dr. Adamson.

“Efforts to include skin of color in AI algorithms for validation and further training are needed to prevent potential harms of over- or underdiagnosis in darker skin patients,” she pointed out.

Dr. Adamson reports no potential conflicts of interest relevant to this topic. Dr. Swetter had no relevant disclosures.
 
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In the analysis of images for detecting potential pathology, artificial intelligence (AI) is showing enormous promise across multiple fields of medicine. But the technology in dermatology is bound to fail in skin of color if training does not specifically address these skin types, according to Adewole S. Adamson, MD, who outlined this issue at the American Academy of Dermatology Virtual Meeting Experience.

Dr. Adewole S. Adamson

“Machine learning algorithms are only as good as the inputs through which they learn. Without representation from individuals with skin of color, we are at risk of creating a new source of racial disparity in patient care,” Dr. Adamson, assistant professor in the division of dermatology, department of internal medicine, University of Texas at Austin, said at the meeting.

Diagnostic algorithms using AI are typically based on deep learning, a subset of machine learning that depends on artificial neural networks. In the case of image processing, neural networks can “learn” to recognize objects, faces, or, in the realm of health care, disease, from exposure to multiple images.

There are many other variables that affect the accuracy of deep learning for diagnostic algorithms, including the depth of the layering through which the process distills multiple inputs of information, but the number of inputs is critical. In the case of skin lesions, machines cannot learn to recognize features of different skin types without exposure.

“There are studies demonstrating that dermatologists can be outperformed for detection of skin cancers by AI, so this is going to be an increasingly powerful tool,” Dr. Adamson said. The problem is that “there has been very little representation in darker skin types” in the algorithms developed so far.

The risk is that AI will exacerbate an existing problem. Skin cancer in darker skin is less common but already underdiagnosed, independent of AI. Per 100,000 males in the United States, the rate of melanoma is about 30-fold greater in White men than in Black men (33.0 vs. 1.0). Among females, the racial difference is smaller but still enormous (20.2 vs. 1.2 per 100,000 females), according to U.S. data.

For the low representation of darker skin in studies so far with AI, “one of the arguments is that skin cancer is not a big deal in darker skin types,” Dr. Adamson said.

It might be the other way around. The relative infrequency with which skin cancer occurs in the Black population in the United States might explain a low level of suspicion and ultimately delays in diagnosis, which, in turn, leads to worse outcomes. According to one analysis drawn from the Surveillance, Epidemiology and End-Result (SEER) database (1998-2011), the proportion of patients with regionally advanced or distant disease was nearly twice as great (11.6% vs. 6.0%; P < .05) in Black patients, relative to White patients.



Not surprisingly, given the importance of early diagnosis of cancers overall and skin cancer specifically, the mean survival for malignant melanoma in Black patients was almost 4 years lower than in White patients (10.8 vs. 14.6 years; P < .001) for nodular melanoma, the same study found.

In humans, bias is reasonably attributed in many cases to judgments made on a small sample size. The problem in AI is analogous. Dr. Adamson, who has published research on the potential for machine learning to contribute to health care disparities in dermatology, cited work done by Joy Buolamwini, a graduate researcher in the media lab at the Massachusetts Institute of Technology. In one study she conducted, the rate of AI facial recognition failure was 1% in White males, 7% in White females, 12% in skin-of-color males, and 35% in skin-of-color females. Fewer inputs of skin of color is the likely explanation, Dr. Adamson said.

The potential for racial bias from AI in the diagnosis of disease increases and becomes more complex when inputs beyond imaging, such as past medical history, are included. Dr. Adamson warned of the potential for “bias to creep in” when there is failure to account for societal, cultural, or other differences that distinguish one patient group from another. However, for skin cancer or other diseases based on images alone, he said there are solutions.

“We are in the early days, and there is time to change this,” Dr. Adamson said, referring to the low representation of skin of color in AI training sets. In addition to including more skin types to train recognition, creating AI algorithms specifically for dark skin is another potential approach.

However, his key point was the importance of recognizing the need for solutions.

“AI is the future, but we must apply the same rigor to AI as to other medical interventions to ensure that the technology is not applied in a biased fashion,” he said.

Susan M. Swetter, MD, professor of dermatology and director of the pigmented lesion and melanoma program at Stanford (Calif.) University Medical Center and Cancer Institute, agreed. As someone who has been following the progress of AI in the diagnosis of skin cancer, Dr. Swetter recognizes the potential for this technology to increase diagnostic efficiency and accuracy, but she also called for studies specific to skin of color.

Dr. Susan Swetter


The algorithms “have not yet been adequately evaluated in people of color, particularly Black patients in whom dermoscopic criteria for benign versus malignant melanocytic neoplasms differ from those with lighter skin types,” Dr. Swetter said in an interview.

She sees the same fix as that proposed by Dr. Adamson.

“Efforts to include skin of color in AI algorithms for validation and further training are needed to prevent potential harms of over- or underdiagnosis in darker skin patients,” she pointed out.

Dr. Adamson reports no potential conflicts of interest relevant to this topic. Dr. Swetter had no relevant disclosures.
 

In the analysis of images for detecting potential pathology, artificial intelligence (AI) is showing enormous promise across multiple fields of medicine. But the technology in dermatology is bound to fail in skin of color if training does not specifically address these skin types, according to Adewole S. Adamson, MD, who outlined this issue at the American Academy of Dermatology Virtual Meeting Experience.

Dr. Adewole S. Adamson

“Machine learning algorithms are only as good as the inputs through which they learn. Without representation from individuals with skin of color, we are at risk of creating a new source of racial disparity in patient care,” Dr. Adamson, assistant professor in the division of dermatology, department of internal medicine, University of Texas at Austin, said at the meeting.

Diagnostic algorithms using AI are typically based on deep learning, a subset of machine learning that depends on artificial neural networks. In the case of image processing, neural networks can “learn” to recognize objects, faces, or, in the realm of health care, disease, from exposure to multiple images.

There are many other variables that affect the accuracy of deep learning for diagnostic algorithms, including the depth of the layering through which the process distills multiple inputs of information, but the number of inputs is critical. In the case of skin lesions, machines cannot learn to recognize features of different skin types without exposure.

“There are studies demonstrating that dermatologists can be outperformed for detection of skin cancers by AI, so this is going to be an increasingly powerful tool,” Dr. Adamson said. The problem is that “there has been very little representation in darker skin types” in the algorithms developed so far.

The risk is that AI will exacerbate an existing problem. Skin cancer in darker skin is less common but already underdiagnosed, independent of AI. Per 100,000 males in the United States, the rate of melanoma is about 30-fold greater in White men than in Black men (33.0 vs. 1.0). Among females, the racial difference is smaller but still enormous (20.2 vs. 1.2 per 100,000 females), according to U.S. data.

For the low representation of darker skin in studies so far with AI, “one of the arguments is that skin cancer is not a big deal in darker skin types,” Dr. Adamson said.

It might be the other way around. The relative infrequency with which skin cancer occurs in the Black population in the United States might explain a low level of suspicion and ultimately delays in diagnosis, which, in turn, leads to worse outcomes. According to one analysis drawn from the Surveillance, Epidemiology and End-Result (SEER) database (1998-2011), the proportion of patients with regionally advanced or distant disease was nearly twice as great (11.6% vs. 6.0%; P < .05) in Black patients, relative to White patients.



Not surprisingly, given the importance of early diagnosis of cancers overall and skin cancer specifically, the mean survival for malignant melanoma in Black patients was almost 4 years lower than in White patients (10.8 vs. 14.6 years; P < .001) for nodular melanoma, the same study found.

In humans, bias is reasonably attributed in many cases to judgments made on a small sample size. The problem in AI is analogous. Dr. Adamson, who has published research on the potential for machine learning to contribute to health care disparities in dermatology, cited work done by Joy Buolamwini, a graduate researcher in the media lab at the Massachusetts Institute of Technology. In one study she conducted, the rate of AI facial recognition failure was 1% in White males, 7% in White females, 12% in skin-of-color males, and 35% in skin-of-color females. Fewer inputs of skin of color is the likely explanation, Dr. Adamson said.

The potential for racial bias from AI in the diagnosis of disease increases and becomes more complex when inputs beyond imaging, such as past medical history, are included. Dr. Adamson warned of the potential for “bias to creep in” when there is failure to account for societal, cultural, or other differences that distinguish one patient group from another. However, for skin cancer or other diseases based on images alone, he said there are solutions.

“We are in the early days, and there is time to change this,” Dr. Adamson said, referring to the low representation of skin of color in AI training sets. In addition to including more skin types to train recognition, creating AI algorithms specifically for dark skin is another potential approach.

However, his key point was the importance of recognizing the need for solutions.

“AI is the future, but we must apply the same rigor to AI as to other medical interventions to ensure that the technology is not applied in a biased fashion,” he said.

Susan M. Swetter, MD, professor of dermatology and director of the pigmented lesion and melanoma program at Stanford (Calif.) University Medical Center and Cancer Institute, agreed. As someone who has been following the progress of AI in the diagnosis of skin cancer, Dr. Swetter recognizes the potential for this technology to increase diagnostic efficiency and accuracy, but she also called for studies specific to skin of color.

Dr. Susan Swetter


The algorithms “have not yet been adequately evaluated in people of color, particularly Black patients in whom dermoscopic criteria for benign versus malignant melanocytic neoplasms differ from those with lighter skin types,” Dr. Swetter said in an interview.

She sees the same fix as that proposed by Dr. Adamson.

“Efforts to include skin of color in AI algorithms for validation and further training are needed to prevent potential harms of over- or underdiagnosis in darker skin patients,” she pointed out.

Dr. Adamson reports no potential conflicts of interest relevant to this topic. Dr. Swetter had no relevant disclosures.
 
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The power and promise of social media in oncology

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Sharing their personal experiences on social media can emphasize oncologists’ humanity and have substantive, beneficial effects on patient care, according to a presentation at the Collaboration for Outcomes using Social Media in Oncology (COSMO) inaugural meeting.

Dr. Alan P. Lyss

Mark A. Lewis, MD, explained to the COSMO meeting audience how storytelling on social media can educate and engage patients, advocates, and professional colleagues – advancing knowledge, dispelling misinformation, and promoting clinical research.

Dr. Lewis, an oncologist at Intermountain Healthcare in Salt Lake City, reflected on the bifid roles of oncologists as scientists engaged in life-long learning and humanists who can internalize and appreciate the unique character and circumstances of their patients.

Patients who have serious illnesses are necessarily aggregated by statistics. However, in an essay published in 2011, Dr. Lewis noted that “each individual patient partakes in a unique, irreproducible experiment where n = 1” (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

Dr. Lewis highlighted the duality of individual data points on a survival curve as descriptors of common disease trajectories and treatment effects. However, those data points also conceal important narratives regarding the most highly valued aspects of the doctor-patient relationship and the impact of cancer treatment on patients’ lives.

In referring to the futuristic essay “Ars Brevis,” Dr. Lewis contrasted the humanism of oncology specialists in the present day with the fictional image of data-regurgitating robots programmed to maximize the efficiency of each patient encounter (J Clin Oncol. 2013 May 10;31[14]:1792-4).

Dr. Lewis reminded attendees that to practice medicine without using both “head and heart” undermines the inherent nature of medical care.

Unfortunately, that perspective may not match the public perception of oncologists. Dr. Lewis described his experience of typing “oncologists are” into an Internet search engine and seeing the auto-complete function prompt words such as “criminals,” “evil,” “murderers,” and “confused.”

Obviously, it is hard to establish a trusting patient-doctor relationship if that is the prima facie perception of the oncology specialty.
 

Dispelling myths and creating community via social media

A primary goal of consultation with a newly-diagnosed cancer patient is for the patient to feel that the oncologist will be there to take care of them, regardless of what the future holds.

Dr. Lewis has found that social media can potentially extend that feeling to a global community of patients, caregivers, and others seeking information relevant to a cancer diagnosis. He believes that oncologists have an opportunity to dispel myths and fears by being attentive to the real-life concerns of patients.

Dr. Lewis took advantage of this opportunity when he underwent a Whipple procedure (pancreaticoduodenectomy) for a pancreatic neuroendocrine tumor. He and the hospital’s media services staff “live-tweeted” his surgery and recovery.

With those tweets, Dr. Lewis demystified each step of a major surgical procedure. From messages he received on social media, Dr. Lewis knows he made the decision to have a Whipple procedure more acceptable to other patients.

His personal medical experience notwithstanding, Dr. Lewis acknowledged that every patient’s circumstances are unique.

Oncologists cannot possibly empathize with every circumstance. However, when they show sensitivity to personal elements of the cancer experience, they shed light on the complicated role they play in patient care and can facilitate good decision-making among patients across the globe.
 

 

 

Social media for professional development and patient care

The publication of his 2011 essay was gratifying for Dr. Lewis, but the finite number of comments he received thereafter illustrated the rather limited audience that traditional academic publications have and the laborious process for subsequent interaction (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

First as an observer and later as a participant on social media, Dr. Lewis appreciated that teaching points and publications can be amplified by global distribution and the potential for informal bidirectional communication.

Social media platforms enable physicians to connect with a larger audience through participative communication, in which users develop, share, and react to content (N Engl J Med. 2009 Aug 13;361[7]:649-51).

Dr. Lewis reflected on how oncologists are challenged to sort through the thousands of oncology-focused publications annually. Through social media, one can see the studies on which the experts are commenting and appreciate the nuances that contextualize the results. Focused interactions with renowned doctors, at regular intervals, require little formality.

Online journal clubs enable the sharing of ideas, opinions, multimedia resources, and references across institutional and international borders (J Gen Intern Med. 2014 Oct;29[10]:1317-8).
 

Social media in oncology: Accomplishments and promise

The development of broadband Internet, wireless connectivity, and social media for peer-to-peer and general communication are among the major technological advances that have transformed medical communication.

As an organization, COSMO aims to describe, understand, and improve the use of social media to increase the penetration of evidence-based guidelines and research insights into clinical practice (Future Oncol. 2017 Jun;13[15]:1281-5).

At the inaugural COSMO meeting, areas of progress since COSMO’s inception in 2015 were highlighted, including:

  • The involvement of cancer professionals and advocates in multiple distinctive platforms.
  • The development of hashtag libraries to aggregate interest groups and topics.
  • The refinement of strategies for engaging advocates with attention to inclusiveness.
  • A steady trajectory of growth in tweeting at scientific conferences.

An overarching theme of the COSMO meeting was “authenticity,” a virtue that is easy to admire but requires conscious, consistent effort to achieve.

Disclosure of conflicts of interest and avoiding using social media simply as a recruitment tool for clinical trials are basic components of accurate self-representation.

In addition, Dr. Lewis advocated for sharing personal experiences in a component of social media posts so oncologists can show humanity as a feature of their professional online identity and inherent nature.

Dr. Lewis disclosed consultancy with Medscape/WebMD, which are owned by the same parent company as MDedge. He also disclosed relationships with Foundation Medicine, Natera, Exelixis, QED, HalioDX, and Ipsen.


Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.

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Sharing their personal experiences on social media can emphasize oncologists’ humanity and have substantive, beneficial effects on patient care, according to a presentation at the Collaboration for Outcomes using Social Media in Oncology (COSMO) inaugural meeting.

Dr. Alan P. Lyss

Mark A. Lewis, MD, explained to the COSMO meeting audience how storytelling on social media can educate and engage patients, advocates, and professional colleagues – advancing knowledge, dispelling misinformation, and promoting clinical research.

Dr. Lewis, an oncologist at Intermountain Healthcare in Salt Lake City, reflected on the bifid roles of oncologists as scientists engaged in life-long learning and humanists who can internalize and appreciate the unique character and circumstances of their patients.

Patients who have serious illnesses are necessarily aggregated by statistics. However, in an essay published in 2011, Dr. Lewis noted that “each individual patient partakes in a unique, irreproducible experiment where n = 1” (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

Dr. Lewis highlighted the duality of individual data points on a survival curve as descriptors of common disease trajectories and treatment effects. However, those data points also conceal important narratives regarding the most highly valued aspects of the doctor-patient relationship and the impact of cancer treatment on patients’ lives.

In referring to the futuristic essay “Ars Brevis,” Dr. Lewis contrasted the humanism of oncology specialists in the present day with the fictional image of data-regurgitating robots programmed to maximize the efficiency of each patient encounter (J Clin Oncol. 2013 May 10;31[14]:1792-4).

Dr. Lewis reminded attendees that to practice medicine without using both “head and heart” undermines the inherent nature of medical care.

Unfortunately, that perspective may not match the public perception of oncologists. Dr. Lewis described his experience of typing “oncologists are” into an Internet search engine and seeing the auto-complete function prompt words such as “criminals,” “evil,” “murderers,” and “confused.”

Obviously, it is hard to establish a trusting patient-doctor relationship if that is the prima facie perception of the oncology specialty.
 

Dispelling myths and creating community via social media

A primary goal of consultation with a newly-diagnosed cancer patient is for the patient to feel that the oncologist will be there to take care of them, regardless of what the future holds.

Dr. Lewis has found that social media can potentially extend that feeling to a global community of patients, caregivers, and others seeking information relevant to a cancer diagnosis. He believes that oncologists have an opportunity to dispel myths and fears by being attentive to the real-life concerns of patients.

Dr. Lewis took advantage of this opportunity when he underwent a Whipple procedure (pancreaticoduodenectomy) for a pancreatic neuroendocrine tumor. He and the hospital’s media services staff “live-tweeted” his surgery and recovery.

With those tweets, Dr. Lewis demystified each step of a major surgical procedure. From messages he received on social media, Dr. Lewis knows he made the decision to have a Whipple procedure more acceptable to other patients.

His personal medical experience notwithstanding, Dr. Lewis acknowledged that every patient’s circumstances are unique.

Oncologists cannot possibly empathize with every circumstance. However, when they show sensitivity to personal elements of the cancer experience, they shed light on the complicated role they play in patient care and can facilitate good decision-making among patients across the globe.
 

 

 

Social media for professional development and patient care

The publication of his 2011 essay was gratifying for Dr. Lewis, but the finite number of comments he received thereafter illustrated the rather limited audience that traditional academic publications have and the laborious process for subsequent interaction (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

First as an observer and later as a participant on social media, Dr. Lewis appreciated that teaching points and publications can be amplified by global distribution and the potential for informal bidirectional communication.

Social media platforms enable physicians to connect with a larger audience through participative communication, in which users develop, share, and react to content (N Engl J Med. 2009 Aug 13;361[7]:649-51).

Dr. Lewis reflected on how oncologists are challenged to sort through the thousands of oncology-focused publications annually. Through social media, one can see the studies on which the experts are commenting and appreciate the nuances that contextualize the results. Focused interactions with renowned doctors, at regular intervals, require little formality.

Online journal clubs enable the sharing of ideas, opinions, multimedia resources, and references across institutional and international borders (J Gen Intern Med. 2014 Oct;29[10]:1317-8).
 

Social media in oncology: Accomplishments and promise

The development of broadband Internet, wireless connectivity, and social media for peer-to-peer and general communication are among the major technological advances that have transformed medical communication.

As an organization, COSMO aims to describe, understand, and improve the use of social media to increase the penetration of evidence-based guidelines and research insights into clinical practice (Future Oncol. 2017 Jun;13[15]:1281-5).

At the inaugural COSMO meeting, areas of progress since COSMO’s inception in 2015 were highlighted, including:

  • The involvement of cancer professionals and advocates in multiple distinctive platforms.
  • The development of hashtag libraries to aggregate interest groups and topics.
  • The refinement of strategies for engaging advocates with attention to inclusiveness.
  • A steady trajectory of growth in tweeting at scientific conferences.

An overarching theme of the COSMO meeting was “authenticity,” a virtue that is easy to admire but requires conscious, consistent effort to achieve.

Disclosure of conflicts of interest and avoiding using social media simply as a recruitment tool for clinical trials are basic components of accurate self-representation.

In addition, Dr. Lewis advocated for sharing personal experiences in a component of social media posts so oncologists can show humanity as a feature of their professional online identity and inherent nature.

Dr. Lewis disclosed consultancy with Medscape/WebMD, which are owned by the same parent company as MDedge. He also disclosed relationships with Foundation Medicine, Natera, Exelixis, QED, HalioDX, and Ipsen.


Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.

Sharing their personal experiences on social media can emphasize oncologists’ humanity and have substantive, beneficial effects on patient care, according to a presentation at the Collaboration for Outcomes using Social Media in Oncology (COSMO) inaugural meeting.

Dr. Alan P. Lyss

Mark A. Lewis, MD, explained to the COSMO meeting audience how storytelling on social media can educate and engage patients, advocates, and professional colleagues – advancing knowledge, dispelling misinformation, and promoting clinical research.

Dr. Lewis, an oncologist at Intermountain Healthcare in Salt Lake City, reflected on the bifid roles of oncologists as scientists engaged in life-long learning and humanists who can internalize and appreciate the unique character and circumstances of their patients.

Patients who have serious illnesses are necessarily aggregated by statistics. However, in an essay published in 2011, Dr. Lewis noted that “each individual patient partakes in a unique, irreproducible experiment where n = 1” (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

Dr. Lewis highlighted the duality of individual data points on a survival curve as descriptors of common disease trajectories and treatment effects. However, those data points also conceal important narratives regarding the most highly valued aspects of the doctor-patient relationship and the impact of cancer treatment on patients’ lives.

In referring to the futuristic essay “Ars Brevis,” Dr. Lewis contrasted the humanism of oncology specialists in the present day with the fictional image of data-regurgitating robots programmed to maximize the efficiency of each patient encounter (J Clin Oncol. 2013 May 10;31[14]:1792-4).

Dr. Lewis reminded attendees that to practice medicine without using both “head and heart” undermines the inherent nature of medical care.

Unfortunately, that perspective may not match the public perception of oncologists. Dr. Lewis described his experience of typing “oncologists are” into an Internet search engine and seeing the auto-complete function prompt words such as “criminals,” “evil,” “murderers,” and “confused.”

Obviously, it is hard to establish a trusting patient-doctor relationship if that is the prima facie perception of the oncology specialty.
 

Dispelling myths and creating community via social media

A primary goal of consultation with a newly-diagnosed cancer patient is for the patient to feel that the oncologist will be there to take care of them, regardless of what the future holds.

Dr. Lewis has found that social media can potentially extend that feeling to a global community of patients, caregivers, and others seeking information relevant to a cancer diagnosis. He believes that oncologists have an opportunity to dispel myths and fears by being attentive to the real-life concerns of patients.

Dr. Lewis took advantage of this opportunity when he underwent a Whipple procedure (pancreaticoduodenectomy) for a pancreatic neuroendocrine tumor. He and the hospital’s media services staff “live-tweeted” his surgery and recovery.

With those tweets, Dr. Lewis demystified each step of a major surgical procedure. From messages he received on social media, Dr. Lewis knows he made the decision to have a Whipple procedure more acceptable to other patients.

His personal medical experience notwithstanding, Dr. Lewis acknowledged that every patient’s circumstances are unique.

Oncologists cannot possibly empathize with every circumstance. However, when they show sensitivity to personal elements of the cancer experience, they shed light on the complicated role they play in patient care and can facilitate good decision-making among patients across the globe.
 

 

 

Social media for professional development and patient care

The publication of his 2011 essay was gratifying for Dr. Lewis, but the finite number of comments he received thereafter illustrated the rather limited audience that traditional academic publications have and the laborious process for subsequent interaction (J Clin Oncol. 2011 Aug 1;29[22]:3103-4).

First as an observer and later as a participant on social media, Dr. Lewis appreciated that teaching points and publications can be amplified by global distribution and the potential for informal bidirectional communication.

Social media platforms enable physicians to connect with a larger audience through participative communication, in which users develop, share, and react to content (N Engl J Med. 2009 Aug 13;361[7]:649-51).

Dr. Lewis reflected on how oncologists are challenged to sort through the thousands of oncology-focused publications annually. Through social media, one can see the studies on which the experts are commenting and appreciate the nuances that contextualize the results. Focused interactions with renowned doctors, at regular intervals, require little formality.

Online journal clubs enable the sharing of ideas, opinions, multimedia resources, and references across institutional and international borders (J Gen Intern Med. 2014 Oct;29[10]:1317-8).
 

Social media in oncology: Accomplishments and promise

The development of broadband Internet, wireless connectivity, and social media for peer-to-peer and general communication are among the major technological advances that have transformed medical communication.

As an organization, COSMO aims to describe, understand, and improve the use of social media to increase the penetration of evidence-based guidelines and research insights into clinical practice (Future Oncol. 2017 Jun;13[15]:1281-5).

At the inaugural COSMO meeting, areas of progress since COSMO’s inception in 2015 were highlighted, including:

  • The involvement of cancer professionals and advocates in multiple distinctive platforms.
  • The development of hashtag libraries to aggregate interest groups and topics.
  • The refinement of strategies for engaging advocates with attention to inclusiveness.
  • A steady trajectory of growth in tweeting at scientific conferences.

An overarching theme of the COSMO meeting was “authenticity,” a virtue that is easy to admire but requires conscious, consistent effort to achieve.

Disclosure of conflicts of interest and avoiding using social media simply as a recruitment tool for clinical trials are basic components of accurate self-representation.

In addition, Dr. Lewis advocated for sharing personal experiences in a component of social media posts so oncologists can show humanity as a feature of their professional online identity and inherent nature.

Dr. Lewis disclosed consultancy with Medscape/WebMD, which are owned by the same parent company as MDedge. He also disclosed relationships with Foundation Medicine, Natera, Exelixis, QED, HalioDX, and Ipsen.


Dr. Lyss was a community-based medical oncologist and clinical researcher for more than 35 years before his recent retirement. His clinical and research interests were focused on breast and lung cancers, as well as expanding clinical trial access to medically underserved populations. He is based in St. Louis. He has no conflicts of interest.

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