Artificial intelligence in immunotherapy PET/SPECT imaging.

Journal: European radiology
Published Date: Sep 1, 2024

Abstract

OBJECTIVE: Immunotherapy has dramatically altered the therapeutic landscape for oncology, but more research is needed to identify patients who are likely to achieve durable clinical benefit and those who may develop unacceptable side effects. We investigated the role of artificial intelligence in PET/SPECT-guided approaches for immunotherapy-treated patients.

Authors

  • Jeremy P McGale
    Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA. jm4782@cumc.columbia.edu.
  • Delphine L Chen
    Department of Molecular Imaging and Therapy, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Stefano Trebeschi
    Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Michael D Farwell
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Anna M Wu
    Department of Immunology and Theranostics, Beckman Research Institute of City of Hope, Duarte, CA, USA.
  • Cathy S Cutler
    Collider Accelerator Department, Brookhaven National Laboratory, Upton, NY, USA.
  • Lawrence H Schwartz
    Department of Radiology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
  • Laurent Dercle
    Department of Radiology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032; Gustave Roussy, Université Paris-Saclay, Université Paris-Saclay, Département D'imagerie Médicale, Villejuif, France.

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