Myocardial blood flow values based on 15O-water PET are insensitive to image reconstruction settings

Abstract

Abstract Funding Acknowledgements Type of funding sources: None. Background For 15O-water PET, a cutoff hyperemic myocardial blood flow (MBF) value of 2.3 mL/g/min for significant ischemia has been established (1). For other tracers, different studies show a wide range of proposed cutoff values. The use of uniform absolute cutoff values for pathological hyperemic MBF or flow reserve in clinical decision making requires robust quantification of MBF, with comparable values across scanners, centres, and reconstruction methods. Purpose The aim of the present work was to assess the effect of different reconstruction methods on quantitative MBF values based on 15O-water PET. Methods 20 patients referred for assessment of ischemia underwent 4 min dynamic stress PET scans starting simultaneously with automated bolus injection of 400 MBq 15O-water on a digital PET/CT scanner. Images were reconstructed using 17 different reconstruction methods, with the clinical reconstruction used as reference: time-of-flight (TOF) ordered subsets expectation maximization (OSEM) with 3 iterations and 16 subsets, including point spread function recovery (PSF) and a 5 mm gaussian post-filter. Parameters that were varied were number of iterations (1-6), filter (3, 5 or 8 mm), exclusion of TOF and PSF, and using regularized reconstruction with 7 different values of the regularization parameter beta. Images were analyzed fully automatically using aQuant software, resulting in parametric MBF images and polar maps as well as regional MBF values. Correlation and agreement of MBF values based on each reconstruction were compared using regression and Bland-Altman analysis as well as Wilcoxon tests. Results Whole left ventricle MBF values ranged from 1.1 to 3.9 mL/g/min. Visually, there were only small differences in MBF images or polar maps between methods (Figure 1). Correlation between whole left ventricle MBF values based on the various reconstruction algorithms was high (r > 0.99). At the regional level, correlation coefficients were always > 0.94 (Figure 2). No significant bias was found between any of the reconstruction methods and the standard method (p > 0.65). Regression slopes relative to the standard method ranged from 0.993 to 1.080. Changes in reconstruction settings did not alter diagnosis in any patient. Conclusion Changes in reconstruction settings such as filter size, number of iterations, inclusion of time-of-flight or resolution recovery, and regularization, have negligible impact on MBF values based on 15O-water PET analyzed using the automated software. This is likely due to the fact that MBF is determined by the clearance rate of 15O-water rather than its uptake rate such as for other PET tracers, in addition to the used segmentation routines. These results also indicate that quantitative MBF measurements using 15O-water are likely to be robust across different types of PET scanners and hospitals, which is highly important for reliable clinical use of cut-off values for ischemia.