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Predicting clinically significant prostate cancer following suspicious mpMRI: analyses from a high-volume center.
Jahnen, Matthias; Hausler, Tanja; Meissner, Valentin H; Ankerst, Donna P; Kattan, Michael W; Sauter, Andreas; Gschwend, Juergen E; Herkommer, Kathleen.
Afiliação
  • Jahnen M; Department of Urology, School of Medicine and Health, Technical University of Munich (TUM) Rechts der Isar University Hospital, Ismaningerstr. 22, 81675, Munich, Germany. matthias.jahnen@tum.de.
  • Hausler T; Department of Mathematics, School of Computation, Information, and Technology, Boltzmannstr. 3, 85748, Garching, Germany.
  • Meissner VH; Department of Urology, School of Medicine and Health, Technical University of Munich (TUM) Rechts der Isar University Hospital, Ismaningerstr. 22, 81675, Munich, Germany.
  • Ankerst DP; Department of Mathematics, School of Computation, Information, and Technology, Boltzmannstr. 3, 85748, Garching, Germany.
  • Kattan MW; Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, 44195, USA.
  • Sauter A; Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich (TUM) Rechts der Isar University Hospital, Ismaningerstr. 22, 81675, Munich, Germany.
  • Gschwend JE; Department of Urology, School of Medicine and Health, Technical University of Munich (TUM) Rechts der Isar University Hospital, Ismaningerstr. 22, 81675, Munich, Germany.
  • Herkommer K; Department of Urology, School of Medicine and Health, Technical University of Munich (TUM) Rechts der Isar University Hospital, Ismaningerstr. 22, 81675, Munich, Germany.
World J Urol ; 42(1): 290, 2024 May 03.
Article em En | MEDLINE | ID: mdl-38702557
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética Multiparamétrica Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética Multiparamétrica Idioma: En Ano de publicação: 2024 Tipo de documento: Article