AI based automatic measurement of split renal function in [F]PSMA-1007 PET/CT.

Journal: EJNMMI reports
Published Date: Jun 16, 2025

Abstract

BACKGROUND: Prostate-specific membrane antigen (PSMA) is an important target for positron emission tomography (PET) with computed tomography (CT) in prostate cancer. In addition to overexpression in prostate cancer cells, PSMA is expressed in healthy cells in the proximal tubules of the kidneys. Consequently, PSMA PET is being explored for renal functional imaging. Left and right renal uptake of PSMA targeted radiopharmaceuticals have shown strong correlations to split renal function (SRF) as determined by other methods. Manual segmentation of kidneys in PET images is, however, time consuming, making this method of measuring SRF impractical. In this study, we designed, trained and validated an artificial intelligence (AI) model for automatic renal segmentation and measurement of SRF in [F]PSMA-1007 PET images.

Authors

  • Kristian Valind
    Department of Translational Medicine, Wallenberg Centre for Molecular Medicine, Lund University, Malmö, Sweden. kristian.valind@med.lu.se.
  • Johannes Ulén
    Eigenvision AB, Malmö, Sweden.
  • Anni Gålne
    Department of Translational Medicine, Wallenberg Centre for Molecular Medicine, Lund University, Malmö, Sweden.
  • Jonas Jögi
    Department of Translational Medicine, Wallenberg Centre for Molecular Medicine, Lund University, Malmö, Sweden.
  • David Minarik
    Radiation Physics, Skåne University Hospital, Malmö, Sweden david.minarik@med.lu.se.
  • Elin Trägårdh
    Department of Clinical Physiology and Nuclear Medicine, Lund University and Skåne University Hospital, Malmö, Sweden.

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