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Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI-algorithm for lesion detection and classification.
Oerther, Benedict; Engel, Hannes; Nedelcu, Andrea; Schlett, Christopher L; Grimm, Robert; von Busch, Heinrich; Sigle, August; Gratzke, Christian; Bamberg, Fabian; Benndorf, Matthias.
Affiliation
  • Oerther B; Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Engel H; Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Nedelcu A; Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Schlett CL; Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Grimm R; MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany.
  • von Busch H; Diagnostic Imaging Digital & Automation, Siemens Healthcare GmbH, Erlangen, Germany.
  • Sigle A; Department of Urology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Gratzke C; Department of Urology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Bamberg F; Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Benndorf M; Department of Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Prostate ; 83(9): 871-878, 2023 06.
Article in En | MEDLINE | ID: mdl-36959777
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms Type of study: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans / Male Language: En Journal: Prostate Year: 2023 Type: Article Affiliation country: Germany
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms Type of study: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans / Male Language: En Journal: Prostate Year: 2023 Type: Article Affiliation country: Germany