Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.

Journal: European radiology
Published Date: Apr 1, 2023

Abstract

OBJECTIVES: Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. Calculating PV from MRI is a time-consuming, radiologist-dependent task. The aim of this study was to assess whether a deep learning algorithm can replace PI-RADS 2.1 based ellipsoid formula (EF) for calculating PV.

Authors

  • Erik Thimansson
    Department of Translational Medicine, Diagnostic Radiology, Lund University, Carl-Bertil Laurells gata 9, SE-205 02, Malmö, Sweden. per_erik.thimansson@med.lu.se.
  • J Bengtsson
    Department of Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden.
  • E Baubeta
    Department of Translational Medicine, Diagnostic Radiology, Lund University, Carl-Bertil Laurells gata 9, SE-205 02, Malmö, Sweden.
  • J Engman
    Department of Translational Medicine, Diagnostic Radiology, Lund University, Carl-Bertil Laurells gata 9, SE-205 02, Malmö, Sweden.
  • D Flondell-Sité
    Department of Translational Medicine, Urological Cancers, Lund University, Malmö, Sweden.
  • A Bjartell
    Department of Urology, Skåne University Hospital, Lund University, Gothenburg, Sweden.
  • S Zackrisson
    Department of Translational Medicine, Diagnostic Radiology, Lund University, Carl-Bertil Laurells gata 9, SE-205 02, Malmö, Sweden.

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