Evidence map›Paper›PMID 40875273›Full record

ArticleRadiation protection dosimetry2025

IDAC-BioDose, a complete biokinetic and dosimetric software tool designed for diagnostic nuclear medicine and built on the ICRP computational framework.

Martin Andersson, Richard Leggett, Keith Eckerman, Sören Mattsson

Abstract read
In one paragraph

Article in Radiation protection dosimetry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Martin AnderssonDepartment of Radiation Physics, Sahlgrenska Cancer Center, University of Gothenburg, Sahlgrenska Universitetssju khuset 41345 Göteborg, Sweden.ORCID 0000-0003-1275-5710
Richard LeggettOak Ridge National Laboratory, Oak Ridge, TN, United States.
Keith EckermanOak Ridge National Laboratory, Oak Ridge, TN, United States.
Sören MattssonMedical Radiation Physics Malmö, Department of Translational Medicine, Skåne University Hospital, SUS Malmö, SE-205 02 Malmö, Sweden.ORCID 0000-0002-6443-1913

Funding

Swedish Radiation Safety Authority SSM2018-2163
6 · The paper itself

Abstract

Internal dosimetry of diagnostic nuclear medicine requires biokinetic and anatomical models to estimate the radiation exposure from a radiopharmaceutical. Biokinetic models predict the uptake, turnover, and retention of the radionuclide in organs and tissues, while anatomical models estimate energy absorption from decay using computational phantoms. To make more accurate predictions of biokinetic transfer, the International Commission on Radiological Protection (ICRP) has introduced a new compartmental framework, based on a systemic blood model, which can be used to estimate the transfer of the administered radionuclides between organs and tissues. The ICRP Task Group 36 (TG-36) is developing the biokinetic models and dosimetric calculations for radiopharmaceuticals for the ICRP. IDAC-BioDose integrates compartmental modeling and IDAC-Dose2.2. For the biokinetic predictions, transfer rates are generated through empirical data by curve fitting. IDAC-BioDose is benchmarked with SAAMII and DCAL and is used by ICRP TG-36 to revise the biokinetics and dosimetry for ICRP Publ. 128. This comprehensive software expedites absorbed dose and effective dose assessments in the field of diagnostic nuclear medicine.

Indexed as

Models, BiologicalNuclear MedicineRadiation ProtectionRadiometryRadiopharmaceuticalsSoftwareComputer SimulationHumansInternational AgenciesPhantoms, ImagingRadiation DosageTissue DistributionRadiopharmaceuticals

Identifiers

PMID40875273
PMCPMC12392901

What OpenQuestion holds

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Registered trials

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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.