Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: the RUBY-10 Study

Abstract : OBJECTIVES: The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography ((82)Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models. BACKGROUND: It is unknown how MBF and MFR values from existing SPs agree for (82)Rb PET. METHODS: Rest and stress (82)Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient \textgreater0.75 and a difference \textless20% of the median across all programs. RESULTS: The most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM. CONCLUSIONS: SPs using the most common kinetic model-OHI-1-TCM-provided consistent results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.
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https://hal.umontpellier.fr/hal-02181341
Contributeur : Cécile Nowak <>
Soumis le : vendredi 12 juillet 2019 - 09:18:11
Dernière modification le : mardi 13 août 2019 - 11:06:19

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Sergey Nesterov, Emmanuel Deshayes, Roberto Sciagra, Leonardo Settimo, Jérôme Declerck, et al.. Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: the RUBY-10 Study. JACC: Cardiovascular Imaging, Elsevier/American College of Cardiology, 2014, 7, pp.1119--27. ⟨10.1016/j.jcmg.2014.08.003⟩. ⟨hal-02181341⟩

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