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A Retrospective Evaluation of Bayesian-penalized Likelihood Reconstruction for [O]HO Myocardial Perfusion Imaging

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Journal J Nucl Cardiol
Date 2023 Jan 19
PMID 36656496
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Abstract

Background: New Block-Sequential-Regularized-Expectation-Maximization (BSREM) image reconstruction technique has been introduced for clinical use mainly for oncologic use. Accurate and quantitative image reconstruction is essential in myocardial perfusion imaging with positron emission tomography (PET) as it utilizes absolute quantitation of myocardial blood flow (MBF). The aim of the study was to evaluate BSREM reconstruction for quantitation in patients with suspected coronary artery disease (CAD).

Methods And Results: We analyzed cardiac [O]HO PET studies of 177 patients evaluated for CAD. Differences between BSREM and Ordered-Subset-Expectation-Maximization with Time-Of-Flight (TOF) and Point-Spread-Function (PSF) modeling (OSEM-TOF-PSF) in terms of MBF, perfusable tissue fraction, and vascular volume fraction were measured. Classification of ischemia was assessed between the algorithms. OSEM-TOF-PSF and BSREM provided similar global stress MBF in patients with ischemia (1.84 ± 0.21 g⋅ml⋅min vs 1.86 ± 0.21 g⋅ml⋅min) and no ischemia (3.26 ± 0.34 g⋅ml⋅min vs 3.28 ± 0.34 g⋅ml⋅min). Global resting MBF was also similar (0.97 ± 0.12 g⋅ml⋅min and 1.12 ± 0.06 g⋅ml⋅min). The largest mean relative difference in MBF values was 7%. Presence of myocardial ischemia was classified concordantly in 99% of patients using OSEM-TOF-PSF and BSREM reconstructions CONCLUSION: OSEM-TOF-PSF and BSREM image reconstructions produce similar MBF values and diagnosis of myocardial ischemia in patients undergoing [O]HO PET due to suspected obstructive coronary artery disease.

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