Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival.

Journal: Clinical physiology and functional imaging
Published Date: Oct 18, 2020

Abstract

INTRODUCTION: Lymph node metastases are a key prognostic factor in prostate cancer (PCa), but detecting lymph node lesions from PET/CT images is a subjective process resulting in inter-reader variability. Artificial intelligence (AI)-based methods can provide an objective image analysis. We aimed at developing and validating an AI-based tool for detection of lymph node lesions.

Authors

  • Pablo Borrelli
    Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Måns Larsson
    Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Johannes Ulén
    Eigenvision AB, Malmö, Sweden.
  • Olof Enqvist
    Department of Electrical Engineering, Region Västra Götaland, Chalmers University of Technology, Gothenburg, Sweden.
  • Elin Trägårdh
    Department of Clinical Physiology and Nuclear Medicine, Lund University and Skåne University Hospital, Malmö, Sweden.
  • Mads Hvid Poulsen
    Department of Urology, Odense University Hospital, Odense, Denmark.
  • Mike Allan Mortensen
    Department of Urology, Odense University Hospital, Odense, Denmark.
  • Henrik Kjölhede
    Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Poul Flemming Høilund-Carlsen
    Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Lars Edenbrandt
    Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

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