Histopathologic features of melanoma in difficult-to-diagnose lesions: A case-control study
- PMID: 28601392
- DOI: 10.1016/j.jaad.2017.03.017
Histopathologic features of melanoma in difficult-to-diagnose lesions: A case-control study
Abstract
Background: Dermatopathology is considered the gold standard for melanoma diagnosis, but a subset of cases is difficult to diagnose by histopathology.
Objective: The goals of this study were to measure the accuracy of histopathologic features in difficult-to-diagnose melanocytic tumors and the interobserver agreement of those features.
Methods: This is a case-control study of histopathologic features of melanoma in 100 difficult-to-diagnose melanocytic neoplasms (40 melanomas and 60 nevi). Slides were blindly evaluated by 5 dermatopathologists. Frequencies, predictive values, and interobserver agreement were calculated. Univariate and multivariate logistic regression analyses were performed to identify the most influential features in arriving at a diagnosis of melanoma.
Results: Asymmetry, single-cell melanocytosis, solar elastosis, pagetoid melanocytosis, and broad surface diameter were most influential in arriving at a diagnosis of melanoma. Asymmetry and single-cell melanocytosis were most predictive of melanoma. Fleiss kappa was <0.6 for interobserver agreement in 9/10 histopathologic features of melanoma.
Limitations: This study is limited by the small sample size, selection bias, and binary classification of melanocytic lesions.
Conclusion: Our results indicate histopathologic features of melanoma in difficult-to-diagnose lesions vary in accuracy and reproducibility.
Keywords: atypical nevus; diagnostic agreement; histopathology; melanoma.
Copyright © 2017 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.
Comment in
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Histopathologic features of melanoma in difficult-to-diagnose lesions: A case-control study; methodological issues.J Am Acad Dermatol. 2017 Nov;77(5):e149. doi: 10.1016/j.jaad.2017.06.163. J Am Acad Dermatol. 2017. PMID: 29029930 No abstract available.
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