[Artificial intelligence and radiomics in MRI-based prostate diagnostics].

Journal: Der Radiologe
Published Date: Jan 1, 2020

Abstract

CLINICAL/METHODICAL ISSUE: In view of the diagnostic complexity and the large number of examinations, modern radiology is challenged to identify clinically significant prostate cancer (PCa) with high sensitivity and specificity. Meanwhile overdiagnosis and overtreatment of clinically nonsignificant carcinomas need to be avoided.

Authors

  • Charlie Alexander Hamm
    Institute of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Deutschland.
  • Nick Lasse Beetz
    Institute of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität, and Berlin Institute of Health, Augustenburger Platz 1, 13353, Berlin, Deutschland.
  • Lynn Jeanette Savic
    Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520; Department of Diagnostic and Interventional Radiology, Universitätsmedizin Charité Berlin, Berlin, Germany.
  • Tobias Penzkofer
    Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.

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