Enhanced melanoma diagnosis with multispectral digital skin lesion analysis.

Farberg, Aaron S; Glazer, Alex M; Winkelmann, Richard R; Tucker, Natalie; White, Richard; Rigel, Darrell S

Farberg, Aaron S; Glazer, Alex M; Winkelmann, Richard R; Tucker, Natalie; White, Richard; Rigel, Darrell S.

Afiliación

Farberg AS; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Glazer AM; Division of Dermatology, University of Arizona, Tucson, USA.
Winkelmann RR; Department of Dermatology, OhioHealth, Athens, USA.
Tucker N; STRATA Skin Sciences, Horsham, Pennsylvania, USA.
White R; IRIS Interactive Horizon Inc, Cody, Wyoming, USA.
Rigel DS; Department of Dermatology, New York University School of Medicine, New York, USA.

Cutis ; 101(5): 338-340, 2018 May.

Article en En | MEDLINE | ID: mdl-29894523

ABSTRACT

ABSTRACT

Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.

Asunto(s)

Dermoscopía/normas; Melanoma/diagnóstico; Neoplasias Cutáneas/diagnóstico; Humanos; Sensibilidad y Especificidad

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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Dermoscopía / Melanoma Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Cutis Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

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