Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

Journal: European radiology
Published Date: Jul 16, 2020

Abstract

OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning algorithms to differentiate clinically significant versus insignificant prostate cancer (PCa).

Authors

  • Simon Bernatz
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. Simon.Bernatz@kgu.de.
  • Jörg Ackermann
    Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.
  • Philipp Mandel
    Department of Urology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Benjamin Kaltenbach
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Yauheniya Zhdanovich
    Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.
  • Patrick N Harter
    Frankfurt Cancer Institute, Goethe University, Frankfurt am Main, Germany.
  • Claudia Döring
    Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Renate Hammerstingl
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Boris Bodelle
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Kevin Smith
  • Andreas Bucher
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Moritz Albrecht
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Nicolas Rosbach
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Lajos Basten
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Ibrahim Yel
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • Mike Wenzel
    Department of Urology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Katrin Bankov
    Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Ina Koch
    Department of Molecular Bioinformatics, Institute of Computer Science, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany.
  • Felix K-H Chun
    Department of Urology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Jens Köllermann
    Dr. Senckenberg Institute for Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Peter J Wild
    Institute of Surgical Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Thomas J Vogl
    Institute for Diagnostic and Interventional Radiology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.

Keywords

External Resources

Popular Topics
Recent Journals