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Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms.

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Title: Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms.
Authors: Schrader A; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Heidelberg University Medical School, Heidelberg, Germany., Netzer N; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Heidelberg University Medical School, Heidelberg, Germany., Hielscher T; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany., Görtz M; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.; Junior Clinical Cooperation Unit 'Multiparametric Methods for Early Detection of Prostate Cancer', German Cancer Research Center (DKFZ), Heidelberg, Germany., Zhang KS; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany., Schütz V; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany., Stenzinger A; Institute of Pathology, University of Heidelberg Medical Center, Heidelberg, Germany., Hohenfellner M; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany., Schlemmer HP; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany., Bonekamp D; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. d.bonekamp@dkfz-heidelberg.de.; Heidelberg University Medical School, Heidelberg, Germany. d.bonekamp@dkfz-heidelberg.de.; National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany. d.bonekamp@dkfz-heidelberg.de.
Source: European radiology [Eur Radiol] 2024 Dec; Vol. 34 (12), pp. 7909-7920. Date of Electronic Publication: 2024 Jul 02.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Schrader+A%22">Schrader A</searchLink>; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Heidelberg University Medical School, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Netzer+N%22">Netzer N</searchLink>; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Heidelberg University Medical School, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Hielscher+T%22">Hielscher T</searchLink>; Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Görtz+M%22">Görtz M</searchLink>; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.; Junior Clinical Cooperation Unit 'Multiparametric Methods for Early Detection of Prostate Cancer', German Cancer Research Center (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Zhang+KS%22">Zhang KS</searchLink>; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Schütz+V%22">Schütz V</searchLink>; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Stenzinger+A%22">Stenzinger A</searchLink>; Institute of Pathology, University of Heidelberg Medical Center, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Hohenfellner+M%22">Hohenfellner M</searchLink>; Department of Urology, University of Heidelberg Medical Center, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Schlemmer+HP%22">Schlemmer HP</searchLink>; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.; National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Bonekamp+D%22">Bonekamp D</searchLink>; Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. d.bonekamp@dkfz-heidelberg.de.; Heidelberg University Medical School, Heidelberg, Germany. d.bonekamp@dkfz-heidelberg.de.; National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany. d.bonekamp@dkfz-heidelberg.de.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2024 Dec; Vol. 34 (12), pp. 7909-7920. <i>Date of Electronic Publication: </i>2024 Jul 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-024-10818-0
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              Text: 2024 Dec
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