The utility of artificial intelligence platforms for patient-generated questions in Mohs micrographic surgery: a multi-national, blinded expert panel evaluation.

BACKGROUND: Artificial intelligence (AI) and large language models (LLMs) transform how patients inform themselves. LLMs offer potential as educational tools, but their quality depends upon the information generated. Current literature examining AI as an informational tool in dermatology has been limited in evaluating AI's multifaceted roles and diversity of opinions. Here, we evaluate LLMs as a patient-educational tool for Mohs micrographic surgery (MMS) in and out of the clinic utilizing an international expert panel. METHODS: The most common patient MMS questions were extracted from Google and transposed into two LLMs and Google's search engine. 15 MMS surgeons evaluated the generated responses, examining their appropriateness as a patient-facing informational platform, sufficiency of response in a clinical environment, and accuracy of content generated. Validated scales were employed to assess the comprehensibility of each response. RESULTS: The majority of reviewers deemed all LLM responses appropriate. 75% of responses were rated as mostly accurate or higher. ChatGPT had the highest mean accuracy. The majority of the panel deemed 33% of responses sufficient for clinical practice. The mean comprehensibility scores for all platforms indicated a required 10th-grade reading level. CONCLUSIONS: LLM-generated responses were rated as appropriate patient informational sources and mostly accurate in their content. However, these platforms may not provide sufficient information to function in a clinical environment, and complex comprehensibility may represent a barrier to utilization. As the popularity of these platforms increases, it is important for dermatologists to be aware of these limitations.

Development and Validation of the Oxford Skin Cancer Treatment Scale, a Patient-Reported Outcome Measure for Health-Related Quality of Life and Treatment Satisfaction After Skin Cancer Treatment.

BACKGROUND: Patient-reported outcome measures (PROMs) are necessary to assess the value of skin cancer treatment and to better compare therapeutic options. OBJECTIVE: To develop and validate the Oxford Skin Cancer Treatment (OxSCanTr) scale, evaluating health-related quality of life and satisfaction after skin cancer treatment. MATERIALS AND METHODS: After qualitative patient interviews, international expert consultation, and item reduction, 2 separate patient samples were used to assess the factor structure of the scale. Exploratory factor analysis with categorical variables and a polychoric correlation matrix followed by promax oblique rotation was performed to establish a factor structure on Group A. Confirmatory factor analysis with a Satorra-Bentler scaled test statistic evaluating the root mean squared error of approximation (RMSEA), standardized root mean squared residual (SRMR), and comparative fit index (CFI) was conducted on Group B. Reliability as internal consistency was assessed using McDonald omega. Convergent and discriminant validity were assessed using the Pearson correlation coefficient. RESULTS: A total of 480 subjects returned completed surveys (completion rate 96%). A 12-item scale was developed encompassing 4 domains: aesthetic satisfaction, treatment choice satisfaction, treatment experience, and future concerns regarding recurrence/spread. Confirmatory factor analysis showed excellent goodness-of-fit characteristics, with RMSEA = 0.048, SRMR = 0.051, and CFI = 0.962 using the 4-factor model. Reliability was very good (McDonald omega 0.81-0.82), as was convergent validity with the FACE-Q skin cancer module appraisal of scars subscale (r = 0.55). Discriminant validity with a single question regarding being conservative was similarly excellent (r = -0.02). CONCLUSION: The OxSCanTr scale is a parsimonious, feasible, and valid PROM for the holistic assessment of the experience of patients who have undergone skin cancer treatment.

Establishing Consensus for Mohs Micrographic Surgical Techniques in the Treatment of Melanoma in Situ for Future Clinical Trials: A Modified Delphi Study.

BACKGROUND: Mohs micrographic surgery (MMS) is a promising treatment modality for melanoma in situ (MIS). However, variations in surgical technique limit the generalizability of existing data and may impede future study of MMS in clinical trials. METHODS: A modified Delphi method was selected to establish consensus on optimal MMS techniques for treating MIS in future clinical trials. The Delphi method was selected due to the limited current data, the wide range of techniques used in the field, and the intention to establish a standardized technique for future clinical trials. A literature review and interviews with experienced MMS surgeons were performed to identify dimensions of the MMS technique for MIS that (1) likely impacted costs or outcomes of the procedure, and (2) showed significant variability between surgeons. A total of 8 dimensions of technical variation were selected. The Delphi process consisted of 2 rounds of voting and commentary, during which 44 expert Mohs surgeons across the United States rated their agreement with specific recommendations using a Likert scale. RESULTS: Five of eight recommendations achieved consensus in Round 1. All 3 of the remaining recommendations achieved consensus in Round 2. Techniques achieving consensus in Round 1 included the use of a starting peripheral margin of ≤5 mm, application of immunohistochemistry, frozen tissue processing, and resecting to the depth of subcutaneous fat. Consensus on the use of Wood's lamp, dermatoscope, and negative tissue controls was established in Round 2. CONCLUSIONS: This study generated 8 consensus recommendations intended to offer guidance for Mohs surgeons treating MIS. The adoption of these recommendations will promote standardization to facilitate comparisons of aggregate data in multicenter clinical trials.

Noninvasive virtual biopsy using micro-registered optical coherence tomography (OCT) in human subjects.

Histological hematoxylin and eosin-stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumor margin detection, and disease diagnosis. Producing H&E sections, however, is invasive and time-consuming. While deep learning has shown promise in virtual staining of unstained tissue slides, true virtual biopsy requires staining of images taken from intact tissue. In this work, we developed a micron-accuracy coregistration method [micro-registered optical coherence tomography (OCT)] that can take a two-dimensional (2D) H&E slide and find the exact corresponding section in a 3D OCT image taken from the original fresh tissue. We trained a conditional generative adversarial network using the paired dataset and showed high-fidelity conversion of noninvasive OCT images to virtually stained H&E slices in both 2D and 3D. Applying these trained neural networks to in vivo OCT images should enable physicians to readily incorporate OCT imaging into their clinical practice, reducing the number of unnecessary biopsy procedures.

Anatomic Subtype Differences in Extramammary Paget Disease: A Meta-Analysis.

Importance: Extramammary Paget disease (EMPD) is a rare, highly recurrent cutaneous malignant neoplasm of unclear origin. EMPD arises most commonly on the vulvar and penoscrotal skin. It is not presently known how anatomic subtype of EMPD affects disease presentation and management. Objective: To compare demographic and tumor characteristics and treatment approaches for different EMPD subtypes. Recommendations for diagnosis and treatment are presented. Data Sources: MEDLINE, Embase, Web of Science Core Collection, and Cochrane Reviews CENTRAL from December 1, 1990, to October 24, 2022. Study Selection: Articles were excluded if they were not in English, reported fewer than 3 patients, did not specify information by anatomic subtype, or contained no case-level data. Metastatic cases on presentation were also excluded. Data Extraction and Synthesis: Abstracts of 1295 eligible articles were independently reviewed by 5 coauthors, and 135 articles retained. Reporting was in accordance with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. The analysis was cunducted in August 2019 and updated in November 2022. Findings: Most vulvar EMPD cases were asymptomatic, and diagnosis was relatively delayed (mean, 25.1 months). Although most vulvar EMPD cases were intraepidermal (1247/1773 [70.3%]), radical surgeries were still performed in almost one-third of cases. Despite this aggressive surgical approach, 481 of 1423 (34%) recurred, commonly confined to the skin and mucosa (177/198 [89.4%]). By contrast, 152 of 1101 penoscrotal EMPD cases (14%) recurred, but more than one-third of these recurrences were regional or associated with distant metastases (54 of 152 [35.5%]). Perianal EMPD cases recurred in one-third of cases (74/218 [33.9%]), with one-third of these recurrences being regional or associated with distant metastasis (20 of 74 [27.0%]). Perianal EMPD also had the highest rate of invasive disease (50% of cases). Conclusions and Relevance: The diagnosis and treatment of EMPD should differ based on anatomic subtypes. Considerations for updated practice may include less morbid treatments for vulvar EMPD, which is primarily epidermal, and close surveillance for local recurrence in vulvar EMPD and metastatic recurrence in perianal EMPD. Recurrences in penoscrotal subtype were less common, and selective surveillance in this subtype may be considered. Limitations of this study include the lack of replication cohorts and the exclusion of studies that did not stratify outcomes by anatomic subtype.

NCCN Guidelines® Insights: Merkel Cell Carcinoma, Version 1.2024.

The NCCN Guidelines for Merkel Cell Carcinoma (MCC) provide recommendations for diagnostic workup, clinical stage, and treatment options for patients. The panel meets annually to discuss updates to the guidelines based on comments from expert review from panel members, institutional review, as well as submissions from within NCCN and external organizations. These NCCN Guidelines Insights focus on the introduction of a new page for locally advanced disease in the setting of clinical node negative status, entitled "Clinical N0 Disease, Locally Advanced MCC." This new algorithm page addresses locally advanced disease, and the panel clarifies the meaning behind the term "nonsurgical" by further defining locally advanced disease. In addition, the guideline includes the management of in-transit disease and updates to the systemic therapy options.

Noninvasive Detection of Skin Cancer by Imprint Desorption Electrospray Ionization Mass Spectrometry Imaging.

We report a technique for the noninvasive detection of skin cancer by imprint desorption electrospray ionization mass spectrometry imaging (DESI-MSI) using a transfer agent that is pressed against the tissue of interest. By noninvasively pressing a tape strip against human skin, metabolites, fatty acids, and lipids on the skin surface are transferred to the tape with little spatial distortion. Running DESI-MSI on the tape strip provides chemical images of the molecules on the skin surface, which are valuable for distinguishing cancer from healthy skin. Chemical components of the tissue imprint on the tape strip and the original basal cell carcinoma (BCC) section from the mass spectra show high consistency. By comparing MS images (about 150-µm resolution) of same molecules from the tape strip and from the BCC section, we confirm that chemical patterns are successfully transferred to the tape stripe. We also used the technique to distinguish cherry angiomas from normal human skin by comparing the molecular patterns from a tape strip. These results demonstrate the potential of the imprint DESI-MSI technique for the noninvasive detection of skin cancers as well as other skin diseases before and during clinical surgery.