2026-10-15T10:23:25Z https://data.mendeley.com/oai

oai:data.mendeley.com/tm9g4r5jhz.1 2026-07-14T03:44:39Z

Spadafora, Marco Clinical and Dermoscopic Triage of head and neck Macules: The Role of Reflectance Confocal Microscopy in a Prospective Study of 2006 Lesions Mendeley Data This dataset contains de-identified lesion-level data from a prospective multicentre study evaluating the clinical impact of integrating reflectance confocal microscopy (RCM) with clinical and dermoscopic assessment in the management of equivocal flat pigmented or partially pigmented macules of the head and neck. The study included 2,006 lesions from 801 patients assessed at three specialised dermatology centres in Northern Italy between November 2017 and February 2020. The dataset includes demographic and lesion-related variables, anatomical location, clinical-dermoscopic diagnostic category, estimated malignancy risk, RCM diagnosis, agreement or discordance between imaging modalities, management strategy, histopathological diagnosis when available, and follow-up outcomes for lesions managed conservatively. Diagnostic categories include nevi, solar lentigo, seborrheic keratosis, lichen planus-like keratosis, other benign lesions, actinic keratosis, lentigo maligna/lentigo maligna melanoma, basal cell carcinoma, and squamous cell carcinoma. The data support analyses of diagnostic performance, modality agreement, changes in lesion classification after RCM, number needed to excise, histopathological outcomes, and residual malignancy risk among lesions considered benign by both dermoscopy and RCM. The dataset is intended to promote transparency, reproducibility, and further research on non-invasive diagnostic pathways for clinically challenging lesions in cosmetically sensitive anatomical areas. Skin Cancer Confocal Microscopy Melanoma Guida, Stefania Pellacani, Giovanni Mazzoni, Laura Magi, Serena Medri, Matelda Raucci, Margherita Mandel, Victort Desmond Ciardo, Silvana Bassoli, Sara Casari, Alice Rongioletti, Franco Farnetani, Francesca longo, Caterina Stanganelli, Ignazio Dataset doi:10.17632/tm9g4r5jhz.1 oai:data.mendeley.com/tm9g4r5jhz.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/tm9g4r5jhz 2026-07-14T03:44:39Z