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When to Biopsy the Seminal Vesicles: A Validated Multiparametric Magnetic Resonance Imaging and Target Driven Model to Detect Seminal Vesicle Invasion of Prostate Cancer.
Gold, Samuel A; Shih, Joanna H; Rais-Bahrami, Soroush; Bloom, Jonathan B; Vourganti, Srinivas; Singla, Nirmish; Baroni, Ronaldo H; Coker, Michael A; Fialkoff, Jared; Noschang, Julia; Roehrborn, Claus G; Turkbey, Baris; Pinto, Peter A.
Afiliação
  • Gold SA; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Shih JH; Biometric Research Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Rais-Bahrami S; Departments of Urology and Radiology, University of Alabama at Birmingham, Birmingham, Alabama.
  • Bloom JB; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Vourganti S; Division of Urology, Rush University Medical Center, Chicago, Illinois.
  • Singla N; Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Baroni RH; Imaging Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Coker MA; School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
  • Fialkoff J; Rush Medical College, Rush University, Chicago,Illinois.
  • Noschang J; Imaging Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Roehrborn CG; Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Turkbey B; Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Pinto PA; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
J Urol ; 201(5): 943-949, 2019 May.
Article em En | MEDLINE | ID: mdl-30681511
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Urol Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Urol Ano de publicação: 2019 Tipo de documento: Article