Faculty Bibliography

There is a paucity of information on racial and ethnic disparities relating to barriers to care in healthcare access and utilization in patients with cutaneous malignancies. We conducted a cross-sectional analysis of adults with melanoma, basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC) in the National Institutes of Health (NIH) All of Us Research Program collected between May 2018 and July 2022. Participants included adults (aged 18 or older) with cutaneous malignancy who completed the Health Care Access and Utilization survey. We identified 5,817 adults who were diagnosed with BCC (67%), cSCC (28.9%), and melanoma (23.9%). Non-Hispanic Black (NHB) and Hispanic patients were more likely than non-Hispanic White (NHW) patients to delay a primary care visit due to cost (p = 0.005 and p = 0.015, respectively). NHB patients were also more likely to delay care due to lack of transportation (p < 0.001). NHB and Hispanic patients were more likely to place importance on seeing a provider from the same background (NHB p < 0.002; Hispanic p = 0.002) and also were more likely to report never being able to see such a provider (NHB p < 0.001; Hispanic p = 0.002). Medicaid/Medicare patients, non-college graduates, and those with lower incomes also faced increased barriers to care, including delays due to cost and transportation issues. People of color with cutaneous malignancies are more likely to delay care in seeing primary care providers due to cost or transportation issues. This study provides important insights on disproportionate healthcare usage among racial/ethnic groups that may help mitigate healthcare disparities.

BACKGROUND:Limited access to dermatologic care may pose an obstacle to the early detection and intervention of cutaneous malignancies. The role of artificial intelligence (AI) in skin cancer diagnosis may alleviate potential care gaps. OBJECTIVE:The aim of this systematic review was to offer an in-depth exploration of published AI algorithms trained on dermoscopic and macroscopic clinical images for the diagnosis of melanoma, basal cell carcinoma, and cutaneous squamous cell carcinoma (cSCC). METHODS:Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, a systematic review was conducted on peer-reviewed articles published between January 1, 2000, and January 26, 2023. RESULTS AND DISCUSSION/CONCLUSIONS:Among the 232 studies in this review, the overall accuracy, sensitivity, and specificity of AI for tumor detection averaged 90%, 87%, and 91%, respectively. Model performance improved with time. Despite seemingly impressive performance, the paucity of external validation and limited representation of cSCC and skin of color in the data sets limits the generalizability of the current models. In addition, dermatologists coauthored only 12.9% of all studies included in the review. Moving forward, it is imperative to prioritize robustness in data reporting, inclusivity in data collection, and interdisciplinary collaboration to ensure the development of equitable and effective AI tools.

BACKGROUND:Vulvar squamous cell carcinoma (vSCC) is a rare tumor with a good prognosis when treated at a localized stage. However, once regional/distant metastasis occurs, vSCC can be rapidly fatal. Thus, it is important to identify tumor prognostic features so that high-risk cases can be prioritized for further diagnostic workup and treatment. OBJECTIVE:To estimate the risk of regional/distant metastasis at presentation and sentinel lymph node status for vSCC based on histopathologic characteristics. METHODS:A retrospective cohort study of 15,188 adult vSCC cases from the National Cancer Database diagnosed from 2012 to 2019. RESULTS:We provide specific estimates of the risk of clinically positive nodes and metastatic disease at presentation and sentinel lymph node positivity according to tumor size, moderate/poor tumor differentiation, and lymph-vascular invasion. These histopathologic factors were all significantly associated with the tested clinical outcomes in a multivariable analysis. Moderate (hazard ratio, 1.190; P < .001) and poor differentiation (hazard ratio, 1.204; P < .001) and lymph-vascular invasion (hazard ratio, 1.465; P < .001) were also associated with significantly poorer overall survival. LIMITATIONS/CONCLUSIONS:Data on disease-specific survival not available in the data set. CONCLUSIONS:We demonstrate the association of the histopathologic characteristics of vSCC with clinically important outcomes. These data may provide individualized information when discussing diagnostic/treatment recommendations, particularly regarding sentinel lymph node biopsy. These data may also guide future staging and risk stratification efforts for vSCC.

BACKGROUND:It is recommended to excise adnexal neoplasms with standard local excision or Mohs micrographic surgery (MMS), although many occur on high-risk sites such as the head and neck (H&N) and exhibit subclinical extension. Minimal evidence exists on the efficacy of standard excisions for these tumors. OBJECTIVE:To evaluate the rate of positive surgical margins after standard excision of adnexal tumors. METHODS:Retrospective cohort study of cutaneous adnexal malignancies from the National Cancer Database diagnosed from 2004 to 2019. RESULTS:The authors identified a total of 4,402 cases treated with standard excision. Tumors on the H&N were approximately twice as likely as those on the trunk and extremities (T&E) to be excised with positive margins (odds ratio 2.146, p < .001), with the highest estimated rate for eccrine adenocarcinoma (12.1%, SE: 2.3%). The subtype with the highest positive margin rate on the T&E was microcystic adnexal carcinoma (8.0%, SE: 2.9). Positive margins were associated with poorer overall survival on multivariable survival analysis (hazard ratio 1.299, p = .015). CONCLUSION:The authors present subtype- and site-specific positive margin rates for adnexal tumors treated with standard excision, which suggest that tumors on the H&N and some T&E subtypes, should be considered for MMS.