ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022
One-tissue compartment model for myocardial perfusion quantification with N-13 ammonia PET provides matching results: A cross-comparison between Carimas, FlowQuant, and PMOD.
Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Inter-Software Reproducibility of Quantitative Values of Myocardial Blood Flow and Coronary Flow Reserve Acquired by [Diagnostics (Basel, Switzerland) · 2025Article
- Emerging Applications of Positron Emission Tomography in Coronary Artery Disease.Journal of personalized medicine · 2025Review
- Measuring myocardial blood flow using dynamic myocardial perfusion SPECT: artifacts and pitfalls.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Review
- The assessment of left ventricular volume and function in gated small animalEJNMMI research · 2023Article
- How shall we judge a PET flow model?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Myocardial perfusion quantification with Rb-82 PET: good interobserver agreement of Carimas software on global, regional, and segmental levels.Annals of nuclear medicine · 2022Article
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Authors and funding
11 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo cross-compare three software packages (SPs)-Carimas, FlowQuant, and PMOD-to quantify myocardial perfusion at global, regional, and segmental levels. MATERIALS AND
methodsStress N-13 ammonia PET scans of 48 patients with HCM were analyzed in three centers using Carimas, FlowQuant, and PMOD. Values agreed if they had an ICC > 0.75 and a difference < 20% of the median across all observers.
resultsWhen using 1TCM on the global level, the agreement was good, and the maximum difference between 1TCM MBF values was 17.2% (ICC = 0.83). On the regional level, the agreement was acceptable except in the LCx region (25.5% difference, ICC = 0.74) between FlowQuant and PMOD. Carimas-1TCM agreed well with PMOD-1TCM and FlowQuant-1TCM. Values obtained with FlowQuant-1TCM had a somewhat lesser agreement with PMOD-1TCM, especially at the segmental level.
conclusionsThe global and regional MBF values (with one exception) agree well between the different software packages. There is significant variability in segmental values, mainly located in the LCx region and segments. Out of the studied tools, Carimas can be used interchangeably with both PMOD and FlowQuant for 1TCM implementation on all levels-global, regional, and segmental.
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Registered trials
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