On the Use of Artificial Intelligence for Dosimetry of Radiopharmaceutical Therapies.

Journal: Nuklearmedizin. Nuclear medicine
PMID: 37827503

Abstract

Routine clinical dosimetry along with radiopharmaceutical therapies is key for future treatment personalization. However, dosimetry is considered complex and time-consuming with various challenges amongst the required steps within the dosimetry workflow. The general workflow for image-based dosimetry consists of quantitative imaging, the segmentation of organs and tumors, fitting of the time-activity-curves, and the conversion to absorbed dose. This work reviews the potential and advantages of the use of artificial intelligence to improve speed and accuracy of every single step of the dosimetry workflow.

Authors

  • Julia Franziska Brosch-Lenz
    Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
  • Astrid Delker
    Department of Nuclear Medicine, LMU University Hospital, Munich, Germany.
  • Fabian Schmidt
    Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, Tuebingen, Germany.
  • Johannes Tran-Gia
    Department of Nuclear Medicine, University Hospital Wuerzburg, Wuerzburg, Germany.

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