Correlation between the evaluation of pigmented lesions by a multi-spectral digital skin lesion analysis device and the clinical and histological features of melanoma

Richard R. Winkelmann, Darrell S. Rigel, Laura Ferris, Arthur Sober, Natalie Tucker, Clay J. Cockerell

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Objective: To correlate Multi-spectral Digital Skin Lesion Analysis classifier scores with histopathological severity of pigmented lesions and clinical features of melanoma. Design: Classifier scores were computed for 1,632 skin lesions. Dermatologists evaluated the same lesions for Asymmetry, Border Irregularity, Color variegation, Diameter >6mm, Evolution, Patient's Concern, Regression, and/or "Ugly Duckling" sign. Classifier scores were correlated to the number of clinical risk features and for six histopathological severity levels of pigmented lesions. Measurements: Average classifier score, Welch's t-test, and chi-square analysis. Results: Melanomas had higher mean classifier scores (3.5) than high-grade dysplastic nevi (2.7, p=0.002), low-grade dysplastic nevi (1.7, p

Original languageEnglish (US)
Pages (from-to)36-38
Number of pages3
JournalJournal of Clinical and Aesthetic Dermatology
Volume9
Issue number3
Publication statusPublished - Mar 1 2016

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ASJC Scopus subject areas

  • Dermatology

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