Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning.

Journal: European radiology
Published Date:

Abstract

BACKGROUND: Accurate mortality risk quantification is crucial for the management of hepatocellular carcinoma (HCC); however, most scoring systems are subjective.

Authors

  • Moritz Gross
    Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA. moritz.gross@charite.de.
  • Stefan P Haider
    Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
  • Tal Ze'evi
    Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
  • Steffen Huber
    Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
  • Sandeep Arora
    Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
  • Ahmet S Kucukkaya
    Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
  • Simon Iseke
    Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
  • Bernhard Gebauer
    Department of Diagnostic and Interventional Radiology, Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
  • Florian Fleckenstein
    Charité Center for Diagnostic and Interventional Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Marc Dewey
    Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. dewey@charite.de.
  • Ariel Jaffe
    Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Mario Strazzabosco
    Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Julius Chapiro
    Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520. Electronic address: julius.chapiro@yale.edu.
  • John A Onofrey