Artificial intelligence-enabled opportunistic identification of immune checkpoint inhibitor-related adverse events using [F]FDG PET/CT.

Journal: European journal of nuclear medicine and molecular imaging
Published Date:

Abstract

No abstract available for this article.

Authors

  • Clemens P Spielvogel
    Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
  • Aleksa Lazarevic
    Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Spitalgasse 23, Vienna, A-1090, Austria.
  • Lucia Zisser
    Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Spitalgasse 23, Vienna, A-1090, Austria.
  • David Haberl
    Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
  • Christophoros Eseroglou
    Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Spitalgasse 23, Vienna, A-1090, Austria.
  • Lucian Beer
    Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna 1090, Austria. Electronic address: lb795@cam.ac.uk.
  • Marcus Hacker
    Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Raffaella Calabretta
    Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.

Keywords

No keywords available for this article.