MIRD Pamphlet No. 30: MIRDfit-A tool for fitting of biodistribution time-activity data for internal dosimetry Journal Article


Authors: Carter, L. M.; Ocampo Ramos, J. C.; Schuerrle, S. B.; Marquis, H.; Lassmann, M.; Bolch, W. E.; Kesner, A. L.
Article Title: MIRD Pamphlet No. 30: MIRDfit-A tool for fitting of biodistribution time-activity data for internal dosimetry
Abstract: In nuclear medicine, estimating the number of radioactive decays that occur in a source organ per unit administered activity of a radiopharmaceutical (i.e., the time-integrated activity coefficient [TIAC]) is an essential task within the internal dosimetry workflow. TIAC estimation is commonly derived by least-squares fitting of various exponential models to organ time-activity data (radiopharmaceutical biodistribution). Rarely, however, are methods used to objectively determine the model that best characterizes the data. Additionally, the uncertainty associated with the resultant TIAC is generally not evaluated. As part of the MIRDsoft initiative, MIRDfit has been developed to offer a biodistribution fitting software solution that provides the following essential features and advantages for internal dose assessment: nuclear medicine-appropriate fit functions; objective metrics for guiding best-fit selection; TIAC uncertainty calculation; quality control and data archiving; integration with MIRDcalc software for dose calculation; and a user-friendly Excel-based interface. For demonstration and comparative validation of MIRDfit's performance, TIACs were derived from serial imaging studies involving 18F-FDG and 177Lu-DOTATATE using MIRDfit. These TIACs were then compared with TIAC estimates obtained using other software. In most cases, the TIACs agreed within approximately 10% between MIRDfit and the other software. MIRDfit has been endorsed by the MIRD Committee of the Society of Nuclear Medicine and Molecular Imaging and has been integrated into the MIRDsoft suite of free dosimetry software; it is available for download at no user cost (https://mirdsoft.org/). © 2024 by the Society of Nuclear Medicine and Molecular Imaging.
Keywords: radiopharmaceuticals; time factors; tissue distribution; dosimetry; radiopharmaceutical agent; radiometry; software; theranostics; time factor; mird; humans; human; mirdcalc
Journal Title: Journal of Nuclear Medicine
Volume: 65
Issue: 11
ISSN: 0161-5505
Publisher: Society of Nuclear Medicine  
Date Published: 2024-11-01
Start Page: 1808
End Page: 1814
Language: English
DOI: 10.2967/jnumed.124.268011
PUBMED: 39327016
PROVIDER: scopus
PMCID: PMC11533917
DOI/URL:
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- MSK corresponding author is Lukas Carter -- Source: Scopus
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MSK Authors
  1. Adam Leon Kesner
    68 Kesner
  2. Lukas M Carter
    79 Carter
  3. Harry Marquis
    17 Marquis