ORIGINAL ARTICLES: Clinical researchEvaluation of cutaneous melanoma thickness by digital dermoscopy analysis: a retrospective studyRubegni, Pietroa; Cevenini, Gabrieleb; Sbano, Paoloa; Burroni, Marcoa; Zalaudek, Irise; Risulo, Massimilianoa; Dell'Eva, Giordanac; Nami, Niccolòa; Martino, Antoniad; Fimiani, MicheleaAuthor Information aSection of Dermatology, Department of Clinical Medicine and Immunological Sciences bDepartment of Cardiac Surgery and Biomedical Technology, University of Siena cLegaTumori Senese, Siena dDepartment of Dermatology, Second University of Naples, Naples, Italy eDivision of Dermatology Medical University of Graz, Graz, Austria Correspondence to Professor Pietro Rubegni, MD, Dipartimento di Medicina Clinica e Scienze Immunologiche, Sezione di Dermatologia, Università degli Studi di Siena, Policlinico ‘Le Scotte’ Viale Bracci, Siena 53100, Italy Tel: +39 0577 40190; fax: +39 0577 44238; e-mail: email@example.com Received 12 January 2009 Accepted 8 November 2009 Melanoma Research: June 2010 - Volume 20 - Issue 3 - p 212-217 doi: 10.1097/CMR.0b013e328335a8ff Buy Metrics Abstract Digital dermoscopy analysis (DDA) exploits computerized analysis of digital images and offers the possibility of parametric analysis of morphological aspects of pigmented skin lesions by means of integration with dedicated software. We conducted a study by DDA in 141 melanomas, with the aim assessing whether the numerical variables extrapolated by univariate logistic analysis could be used in a system of multivariate analysis to predict melanoma thickness before surgery. Melanoma images were evaluated for 49 DDA parameters. Logistic analysis was conducted to identify statistically significant variables. The leave-one-out method was used to evaluate the predictive representations of rules for stepwise logistic classification. The percentage of correctly classified cases was calculated by a classification matrix. Melanomas less than 1 mm had a smaller area, faded borders and were more symmetrical than melanomas greater than 1 mm. The latter had a bluer colour and more random disposition of elements. The accuracy was 86.5%. Specifically, 97 of 108 thin melanomas (specificity 89.8%) and 25 of 33 thick melanomas (sensitivity 75.7%) were correctly classified. In conclusion, the predictive value of DDA for melanoma thickness was quite good. Moreover, DDA allowed us to know objectively those dermoscopic features important in the differentiation between thick and thin melanoma. However, further studies should be performed in a prospective setting before the clinical application. © 2010 Lippincott Williams & Wilkins, Inc.