Journal article
Dosimetry for Optimized, Personalized Radiopharmaceutical Therapy
Seminars in radiation oncology, Vol.31(1), pp.37-44
01/01/2021
DOI: 10.1016/j.semradonc.2020.07.008
PMID: 33246635
Abstract
Radiopharmaceutical therapy (RPT) has grown rapidly over the last decade for treatment of numerous cancer types. Dosimetric guidance, as with other radiotherapy modalities, has benefitted patients by reducing the incidence of side effects and improving overall survival in populations treated under this paradigm. Development of tools and techniques for dosimetryguided therapy is ongoing, with numerous the Food and Drug Administration-cleared products reaching the U.S. market in 2019. Safe use of commercial dosimetry platforms requires a deep understanding of the underlying physical principles and thoroughly vetted input data. Likewise, interpretation of dosimetry results relies on an understanding of radiobiological principles, and the principles of uncertainty propagation. In this article, we review strategies commonly employed for dosimetry-guided RPT - including quantitative imaging, dose calculation methods, and modeling of dose across time-points. Additionally, we review recent literature evidence (2013-2020) demonstrating the efficacy of personalized RPT. (C) 2020 Published by Elsevier Inc.
Details
- Title: Subtitle
- Dosimetry for Optimized, Personalized Radiopharmaceutical Therapy
- Creators
- Stephen A. Graves - Univ Iowa, Dept Radiol, 200 Hawkins Dr, Iowa City, IA 52240 USARobert F. Hobbs - Johns Hopkins University
- Resource Type
- Journal article
- Publication Details
- Seminars in radiation oncology, Vol.31(1), pp.37-44
- Publisher
- Elsevier
- DOI
- 10.1016/j.semradonc.2020.07.008
- PMID
- 33246635
- ISSN
- 1053-4296
- eISSN
- 1532-9461
- Number of pages
- 8
- Grant note
- National Institutes for Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Language
- English
- Date published
- 01/01/2021
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Radiation Oncology
- Record Identifier
- 9984383898502771
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