Background: Atypical pigmented facial lesions (aPFLs) often display clinical and dermoscopic equivocal and/or overlapping features, thus causing a challenging and delayed diagnosis and/or inappropriate excisions. No specific registry dedicated to aPFL paired with clinical data is available to date.Methods: The dataset is hosted on a specifically designed web platform. Each complete case was composed of the following data: (1) one dermoscopic picture; (2) one clinical picture; (3) two lesion data, that is, maximum diameter and facial location (e.g., orbital area/forehead/nose/cheek/chin/mouth); (4) patient's demographics: family history of melanoma, history of sunburns in childhood, phototype, pheomelanine, eyes/hair color, multiple nevi/dysplastic nevi on the body; and (5) acquisition device (videodermatoscope/camera-based/smartphone-based system).Results: A total of 11 dermatologic centers contributed to a final teledermoscopy database of 1,197 aPFL with a distribution of 353 lentigo maligna (LM), 146 lentigo maligna melanoma (LMM), 231 pigmented actinic keratoses, 266 solar lentigo, 125 atypical nevi, 48 seborrheic keratosis, and 28 seborrheic-lichenoid keratoses. The cheek site was involved in half of aPFL cases (50%). Compared with those with the other aPFL cases, patients with LM/LMM were predominantly men, older (69.32 +/- 12.9 years on average vs. 62.69 +/- 14.51), exhibited larger lesions (11.88 +/- 7.74 mm average maximum diameter vs. 9.33 +/- 6.46 mm), and reported a positive history of sunburn in childhood.Conclusions: The iDScore facial dataset currently represents a precious source of data suitable for the design of diagnostic support tools based on risk scoring classifiers to help dermatologists in recognizing LM/LMM among challenging aPFL in clinical practice.
Development and Implementation of a Web-based International Registry Dedicated to Atypical Pigmented Skin Lesions of the Face: Teledermatologic Investigation on Epidemiology and Risk Factors / Tognetti, Linda; Cinotti, Elisa; Farnetani, Francesca; Lallas, Aimilios; Paoli, John; Longo, Caterina; Pampena, Riccardo; Moscarella, Elvira; Argenziano, Giuseppe; Tiodorovic, Danica; Stanganelli, Ignazio; Magi, Serena; Suppa, Mariano; Del Marmol, Veronique; Dika, Emi; Zelin, Enrico; Zalaudeck, Iris; Pizzichetta, Maria Antonietta; Pellacani, Giovanni; Perrot, Jean Luc; Bertello, Martina; Cataldo, Gennaro; Cevenini, Gabriele; Rubegni, Pietro; Cartocci, Alessandra. - In: TELEMEDICINE JOURNAL AND E-HEALTH. - ISSN 1530-5627. - (2023), pp. N/A-N/A. [10.1089/tmj.2022.0456]