The MIRD Schema for Radiopharmaceutical Dosimetry: A Review.

MIRD dosimetry radiobiology/dosimetry radionuclide therapy radiopharmaceutical therapy radiopharmaceuticals

Journal

Journal of nuclear medicine technology
ISSN: 1535-5675
Titre abrégé: J Nucl Med Technol
Pays: United States
ID NLM: 0430303

Informations de publication

Date de publication:
05 Jun 2024
Historique:
received: 20 09 2023
revised: 20 01 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 5 6 2024
Statut: epublish

Résumé

Internal dosimetry evaluates the amount and spatial and temporal distributions of radiation energy deposited in tissue from radionuclides within the body. Historically, nuclear medicine had been largely a diagnostic specialty, and the implicitly performed risk-benefit analyses have been straightforward, with relatively low administered activities yielding important diagnostic information whose benefit far outweighs any potential risk associated with the attendant normal-tissue radiation doses. Although dose estimates based on anatomic models and population-average kinetics in this setting may deviate rather significantly from the actual normal-organ doses for individual patients, the large benefit-to-risk ratios are very forgiving of any such inaccuracies. It is in this context that the MIRD schema was originally developed and has been largely applied. The MIRD schema, created and maintained by the MIRD committee of the Society of Nuclear Medicine and Molecular Imaging, comprises the notation, terminology, mathematic formulas, and reference data for calculating tissue radiation doses from radiopharmaceuticals administered to patients. However, with the ongoing development of new radiopharmaceuticals and the increasing therapeutic application of such agents, internal dosimetry in nuclear medicine and the MIRD schema continue to evolve-from population-average and organ-level to patient-specific and suborgan to voxel-level to cell-level dose estimation. This article will review the basic MIRD schema, relevant quantities and units, reference anatomic models, and its adaptation to small-scale and patient-specific dosimetry.

Identifiants

pubmed: 38839128
pii: jnmt.123.265668
doi: 10.2967/jnmt.123.265668
doi:

Substances chimiques

Radiopharmaceuticals 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

74-85

Informations de copyright

© 2024 by the Society of Nuclear Medicine and Molecular Imaging.

Auteurs

Pat Zanzonico (P)

Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York zanzonip@mskcc.org.

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Classifications MeSH