Computational nuclear oncology toward precision radiopharmaceutical therapies: Current tools, techniques, and uncharted territories Review

   


Authors: Yusufaly, T.; Roncali, E.; Brosch-Lenz, J.; Uribe, C.; Jha, A. K.; Currie, G.; Dutta, J.; El-Fakhri, G.; McMeekin, H.; Pandit-Taskar, N.; Schwartz, J.; Shi, K.; Strigari, L.; Zaidi, H.; Saboury, B.; Rahmim, A.
Review Title: Computational nuclear oncology toward precision radiopharmaceutical therapies: Current tools, techniques, and uncharted territories
Abstract: Radiopharmaceutical therapy (RPT), with its targeted delivery of cytotoxic ionizing radiation, demonstrates significant potential for treating a wide spectrum of malignancies, with particularly unique benefits for metastatic disease. There is an opportunity to optimize RPTs and enhance the precision of theranostics by moving beyond a one-size-fits-all approach and using patient-specific image-based dosimetry for personalized treatment planning. Such an approach, however, requires accurate methods and tools for the mathematic modeling and prediction of dose and clinical outcome. To this end, the SNMMI AI-Dosimetry Working Group is promoting the paradigm of computational nuclear oncology: mathematic models and computational tools describing the hierarchy of etiologic mechanisms involved in RPT dose response. This includes radiopharmacokinetics for image-based internal dosimetry and radiobiology for the mapping of dose response to clinical endpoints. The former area originates in pharmacotherapy, whereas the latter originates in radiotherapy. Accordingly, models and methods developed in these predecessor disciplines serve as a foundation on which to develop a repurposed set of tools more appropriate to RPT. Over the long term, this computational nuclear oncology framework also promises to facilitate widespread cross-fertilization of ideas between nuclear medicine and the greater mathematic and computational oncology communities. COPYRIGHT © 2025 by the Society of Nuclear Medicine and Molecular Imaging.
Keywords: nonhuman; positron emission tomography; radiopharmaceuticals; neoplasm; neoplasms; accuracy; dna repair; computational biology; radiation; radiotherapy; diagnostic imaging; oncology; dosimetry; artificial intelligence; radiopharmaceutical agent; medical oncology; nuclear medicine; computer model; bioinformatics; pharmacokinetics; personalized medicine; radiobiology; single photon emission computed tomography; procedures; beam therapy; radionuclide therapy; humans; human; article; precision medicine; theranostic nanomedicine; digital twin; computational nuclear oncology; theranostic digital twin
Journal Title: Journal of Nuclear Medicine
Volume: 66
Issue: 4
ISSN: 0161-5505
Publisher: Society of Nuclear Medicine  
Date Published: 2025-04-01
Start Page: 509
End Page: 515
Language: English
DOI: 10.2967/jnumed.124.267927
PUBMED: 39947910
PROVIDER: scopus
PMCID: PMC11960611
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001979783&doi=10.2967%2fjnumed.124.267927&partnerID=40&md5=5796ec37a6e0163e7d0b7bf413705368
Notes: Article -- Source: Scopus
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MSK Authors
  1. Neeta Pandit-Taskar
    342 Pandit-Taskar
  2. Jazmin Schwartz
    41 Schwartz
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