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The role of technology in melanoma screening and diagnosis.
Young, Albert T; Vora, Niki B; Cortez, Jose; Tam, Andrew; Yeniay, Yildiray; Afifi, Ladi; Yan, Di; Nosrati, Adi; Wong, Andrew; Johal, Arjun; Wei, Maria L.
Afiliação
  • Young AT; Department of Dermatology, University of California, San Francisco, CA, USA.
  • Vora NB; Dermatology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
  • Cortez J; Dermatology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
  • Tam A; Dermatology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
  • Yeniay Y; Dermatology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
  • Afifi L; Department of Dermatology, University of California, San Francisco, CA, USA.
  • Yan D; Department of Dermatology, University of California, San Francisco, CA, USA.
  • Nosrati A; Department of Dermatology, University of California, San Francisco, CA, USA.
  • Wong A; Department of Dermatology, University of California, San Francisco, CA, USA.
  • Johal A; Dermatology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
  • Wei ML; Dermatology Service, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
Pigment Cell Melanoma Res ; 34(2): 288-300, 2021 03.
Article em En | MEDLINE | ID: mdl-32558281
Melanoma presents challenges for timely and accurate diagnosis. Expert panels have issued risk-based screening guidelines, with recommended screening by visual inspection. To assess how recent technology can impact the risk/benefit considerations for melanoma screening, we comprehensively reviewed non-invasive visual-based technologies. Dermoscopy increases lesional diagnostic accuracy for both dermatologists and primary care providers; total body photography and sequential digital dermoscopic imaging also increase diagnostic accuracy, are supported by automated lesion detection and tracking, and may be best suited to use by dermatologists for longitudinal follow-up. Specialized imaging modalities using non-visible light technology have unproven benefit over dermoscopy and can be limited by cost, access, and training requirements. Mobile apps facilitate image capture and lesion tracking. Teledermatology has good concordance with face-to-face consultation and increases access, with increased accuracy using dermoscopy. Deep learning models can surpass dermatologist accuracy, but their clinical utility has yet to be demonstrated. Technology-aided diagnosis may change the calculus of screening; however, well-designed prospective trials are needed to assess the efficacy of these different technologies, alone and in combination to support refinement of guidelines for melanoma screening.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Processamento de Imagem Assistida por Computador / Detecção Precoce de Câncer / Melanoma Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Processamento de Imagem Assistida por Computador / Detecção Precoce de Câncer / Melanoma Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article