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J Eur Acad Dermatol Venereol ; 38(1): 124-135, 2024 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-37669864

RESUMO

BACKGROUND: In vivo reflectance confocal microscopy (RCM) enables the study of architectural and cytological aspects in horizontal sections, which closely correlate with histologic features. However, traditional histopathological vertical sections cannot totally reproduce the image of the in vivo RCM horizontal section. OBJECTIVE: To evaluate the concordance between in vivo RCM and histopathologic transverse sections for melanocytic lesions, basal cell carcinoma and seborrheic keratoses. METHODS: Prospectively collected benign melanocytic and non-melanocytic tumours diagnosed by dermoscopy were evaluated for common RCM features and compared to histopathology in horizontal sections with haematoxylin and eosin staining. RESULTS: A total of 44 skin tumours including 19 melanocytic lesions (nine compound, five junctional and five intradermal nevi), 12 basal cell carcinomas and 13 seborrheic keratoses were collected in the Department of Dermatology of Hospital Clinic of Barcelona. The RCM features that had statistically significant agreement with the histopathological horizontal sections were the preserved and visible honeycomb pattern, well defined DEJ, small bright particles, dermal nests, tumour islands and dark silhouettes, clefting, collagen bundles, thickened collagen bundles and cytologic atypia. CONCLUSIONS: Histopathology evaluation of horizontal sections of skin tumours can be correlated with main RCM findings. The results of this study have improved the understanding and interpretation of RCM features in relation to skin tumours, thus reinforcing the utility of RCM as a diagnostic tool.


Assuntos
Carcinoma Basocelular , Ceratose Seborreica , Melanoma , Nevo Pigmentado , Neoplasias Cutâneas , Humanos , Melanoma/patologia , Ceratose Seborreica/diagnóstico por imagem , Nevo Pigmentado/patologia , Dermoscopia/métodos , Microscopia Confocal/métodos , Neoplasias Cutâneas/patologia , Carcinoma Basocelular/diagnóstico por imagem , Colágeno
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