Absolute myocardial flow quantification with 82Rb PET/CT: Comparison of different software packages and methods

Abdel K. Tahari, Andy Lee, Mahadevan Rajaram, Kenji Fukushima, Martin A. Lodge, Benjamin C. Lee, Edward P. Ficaro, Stephan Nekolla, Ran Klein, Robert A. Dekemp, Richard L Wahl, Frank Michael Bengel, Paco E. Bravo

Research output: Contribution to journalArticlepeer-review

52 Scopus citations


Purpose: In clinical cardiac 82Rb PET, globally impaired coronary flow reserve (CFR) is a relevant marker for predicting short-term cardiovascular events. However, there are limited data on the impact of different software and methods for estimation of myocardial blood flow (MBF) and CFR. Our objective was to compare quantitative results obtained from previously validated software tools. Methods: We retrospectively analyzed cardiac 82Rb PET/CT data from 25 subjects (group 1, 62 ± 11 years) with low-to-intermediate probability of coronary artery disease (CAD) and 26 patients (group 2, 57 ± 10 years; P = 0.07) with known CAD. Resting and vasodilator-stress MBF and CFR were derived using three software applications: (1) Corridor4DM (4DM) based on factor analysis (FA) and kinetic modeling, (2) 4DM based on region-of-interest (ROI) and kinetic modeling, (3) MunichHeart (MH), which uses a simplified ROI-based retention model approach, and (4) FlowQuant (FQ) based on ROI and compartmental modeling with constant distribution volume. Results: Resting and stress MBF values (in milliliters per minute per gram) derived using the different methods were significantly different: using 4DM-FA, 4DM-ROI, FQ, and MH resting MBF values were 1.47 ± 0.59, 1.16 ± 0.51, 0.91 ± 0.39, and 0.90 ± 0.44, respectively (P < 0.001), and stress MBF values were 3.05 ± 1.66, 2.26 ± 1.01, 1.90 ± 0.82, and 1.83 ± 0.81, respectively (P < 0.001). However, there were no statistically significant differences among the CFR values (2.15 ± 1.08, 2.05 ± 0.83, 2.23 ± 0.89, and 2.21 ± 0.90, respectively; P = 0.17). Regional MBF and CFR according to vascular territories showed similar results. Linear correlation coefficient for global CFR varied between 0.71 (MH vs. 4DM-ROI) and 0.90 (FQ vs. 4DM-ROI). Using a cut-off value of 2.0 for abnormal CFR, the agreement among the software programs ranged between 76 % (MH vs. FQ) and 90 % (FQ vs. 4DM-ROI). Interobserver agreement was in general excellent with all software packages. Conclusion: Quantitative assessment of resting and stress MBF with 82Rb PET is dependent on the software and methods used, whereas CFR appears to be more comparable. Follow-up and treatment assessment should be done with the same software and method.

Original languageEnglish (US)
Pages (from-to)126-135
Number of pages10
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Issue number1
StatePublished - Jan 2014


  • Cardiac PET/CT
  • Coronary flow reserve
  • Kinetic modeling
  • Myocardial blood flow
  • Rb

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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