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An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
Hiremath, Amogh; Shiradkar, Rakesh; Fu, Pingfu; Mahran, Amr; Rastinehad, Ardeshir R; Tewari, Ashutosh; Tirumani, Sree Harsha; Purysko, Andrei; Ponsky, Lee; Madabhushi, Anant.
Afiliação
  • Hiremath A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
  • Shiradkar R; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
  • Fu P; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
  • Mahran A; Urology Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Rastinehad AR; Department of Urology, Lenox Hill Hospital, Northwell Health, New York, NY, USA.
  • Tewari A; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Tirumani SH; Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Purysko A; Department of Radiology and Nuclear Medicine, Cleveland Clinic, Cleveland, OH, USA.
  • Ponsky L; Urology Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Madabhushi A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, OH, USA. Electronic address: axm788@case.edu.
Lancet Digit Health ; 3(7): e445-e454, 2021 07.
Article em En | MEDLINE | ID: mdl-34167765
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Nomogramas / Aprendizado Profundo / Imageamento por Ressonância Magnética Multiparamétrica Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Lancet Digit Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Nomogramas / Aprendizado Profundo / Imageamento por Ressonância Magnética Multiparamétrica Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Lancet Digit Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido