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Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer.

Jean-Mathieu Beauregard
Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2022)
Theranostics - i.e., the combination of molecular imaging and radiopharmaceutical therapy of cancer targeting a common biological feature - is a rapidly expanding field owing the recent successes of novel radiopharmaceutical therapies, such as 177 Lu-based prostate-specific membrane antigen radioligand therapy of prostate cancer and peptide receptor radionuclide therapy of neuroendocrine tumours. Despite the ongoing technical developments in imaging-based dosimetry, the existence of tumour absorbed dose-efficacy and organ absorbed dose-toxicity relationships, as well as the high interpatient variability in absorbed doses per unit activity, radiopharmaceutical therapies are still mostly administered in a fixed-activity, one-size-fits-all fashion. This is at odds with the principles of radiation oncology, where the absorbed doses to tissues are prescribed and their delivery is carefully planned and controlled for each individual patient to maximise the clinical benefits. There is a growing body of clinical evidence that dosimetry-based radiopharmaceutical therapy allows to safely optimise tumour irradiation, which translates into improved clinical outcomes. In this narrative review, we will present the reported prospective clinical experience to date on the use of imaging-based dosimetry to personalise radiopharmaceutical therapies.
Keyphrases
  • prostate cancer
  • high resolution
  • oxidative stress
  • machine learning
  • radiation therapy
  • deep learning
  • cancer therapy
  • drug delivery
  • monte carlo
  • bone marrow
  • childhood cancer
  • fluorescence imaging