Abstract—Diagnosis of benign or malignant melanocytic skin lesions (MSL) with various degree of regression deserves particular attention, as overlapping features are frequent. Discriminating between regressing nevi and melanomas with regression rest challenge from clinical, dermoscopic and even histological point of view. We thus aimed to test the performance of digital dermoscopy analysis (DDA), (i.e., computer-aided diagnosis), in distinguish between a series of difficult regressing MSL. Some numerical variables which were significant for differentiating MwR from NwR were identified. DDA proved to be a feasible and reliable non invasive diagnostic method that can increase diagnostic accuracy of regressing MSL.

TOGNETTI, L., RUBEGNI, P., MIRACCO, C., NAMI, N., Argenziano, G., Brancaccio, G., et al. (2016). Digital dermoscopy analysis for differential diagnosis of regressing nevi and melanoma with regression. In 2016 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2016 - Proceedings (pp.80-85). Institute of Electrical and Electronics Engineers Inc..

Digital dermoscopy analysis for differential diagnosis of regressing nevi and melanoma with regression

TOGNETTI, LINDA;RUBEGNI, PIETRO;MIRACCO, CLELIA;NAMI, NICCOLO';FIMIANI, MICHELE;CINOTTI, ELISA;CEVENINI, GABRIELE
2016

Abstract

Abstract—Diagnosis of benign or malignant melanocytic skin lesions (MSL) with various degree of regression deserves particular attention, as overlapping features are frequent. Discriminating between regressing nevi and melanomas with regression rest challenge from clinical, dermoscopic and even histological point of view. We thus aimed to test the performance of digital dermoscopy analysis (DDA), (i.e., computer-aided diagnosis), in distinguish between a series of difficult regressing MSL. Some numerical variables which were significant for differentiating MwR from NwR were identified. DDA proved to be a feasible and reliable non invasive diagnostic method that can increase diagnostic accuracy of regressing MSL.
978-146739172-6
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11365/1011084
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