ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2023
MIRD Pamphlet No. 28, Part 2: Comparative Evaluation of MIRDcalc Dosimetry Software Across a Compendium of Diagnostic Radiopharmaceuticals.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
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- Dosimetrically coupled multiscale tetrahedral mesh models of human liver vasculature: implications for radiopharmaceutical dosimetry of both organ blood and parenchyma.Physics in medicine and biology · 2025Article
- IDAC-Dose 2.2, an internal dosimetry software for diagnostic nuclear medicine based on the latest ICRP adult and paediatric reference computational phantoms.EJNMMI physics · 2025Article
- Establishment of a practical methodology for evaluating equieffective dose of individual patients based on RT-PHITS.EJNMMI physics · 2025Article
- MIRD Pamphlet No. 30: MIRDfit-A Tool for Fitting of Biodistribution Time-Activity Data for Internal Dosimetry.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- First-in-human evaluation of 6-bromo-7-[European journal of nuclear medicine and molecular imaging · 2024Article
- Single Chelator-Minibody Theranostic Agents forJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Dosimetry of [EJNMMI radiopharmacy and chemistry · 2023Article
- Addendum to MIRD Pamphlet No. 28.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Article
- MIRD Pamphlet No. 28, Part 1: MIRDcalc-A Software Tool for Medical Internal Radiation Dosimetry.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Article
- Personalized Dosimetry in Targeted Radiation Therapy: A Look to Methods, Tools and Critical Aspects.Journal of personalized medicine · 2022Review
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8 authors at 4 institutions in 1 country.
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Abstract
Radiopharmaceutical dosimetry is usually estimated via organ-level MIRD schema-style formalisms, which form the computational basis for commonly used clinical and research dosimetry software. Recently, MIRDcalc internal dosimetry software was developed to provide a freely available organ-level dosimetry solution that incorporates up-to-date models of human anatomy, addresses uncertainty in radiopharmaceutical biokinetics and patient organ masses, and offers a 1-screen user interface as well as quality assurance tools. The present work describes the validation of MIRDcalc and, secondarily, provides a compendium of radiopharmaceutical dose coefficients obtained with MIRDcalc. Biokinetic data for about 70 currently and historically used radiopharmaceuticals were obtained from the International Commission on Radiological Protection (ICRP) publication 128 radiopharmaceutical data compendium. Absorbed dose and effective dose coefficients were derived from the biokinetic datasets using MIRDcalc, IDAC-Dose, and OLINDA software. The dose coefficients obtained with MIRDcalc were systematically compared against the other software-derived dose coefficients and those originally presented in ICRP publication 128. Dose coefficients computed with MIRDcalc and IDAC-Dose showed excellent overall agreement. The dose coefficients derived from other software and the dose coefficients promulgated in ICRP publication 128 both were in reasonable agreement with the dose coefficients computed with MIRDcalc. Future work should expand the scope of the validation to include personalized dosimetry calculations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.