Why the study?
82Rb PET-MPI is a noninvasive reference standard for myocardial perfusion assessment in CAD, but the diagnostic performance of static CT-MPI compared to 82Rb PET-MPI for identifying myocardial ischemia needed evaluation.
Does static CT myocardial perfusion imaging accurately detect myocardial ischemia compared to 82Rb PET-MPI in patients with suspected or stable CAD?
Does static CT myocardial perfusion imaging accurately detect myocardial ischemia compared to 82Rb PET-MPI in patients with suspected or stable CAD?
Static CT myocardial perfusion imaging demonstrates high sensitivity and good overall accuracy for detecting functionally significant CAD, suggesting it may be a viable alternative or adjunct to PET-MPI.
CT-MPI may offer comparable ischemia detection to PET-MPI; leaves open validation in larger cohorts before clinical integration.
Background Rubidium-82 positron emission tomography ( 82 Rb PET) MPI is considered a noninvasive reference standard for the assessment of myocardial perfusion in coronary artery disease (CAD) patients. Our main goal was to compare the diagnostic performance of static rest/ vasodilator stress CT myocardial perfusion imaging (CT-MPI) to stress/ rest 82 Rb PET-MPI for the identification of myocardial ischemia. Methods Forty-four patients with suspected or diagnosed CAD underwent both static CT-MPI and 82 Rb PET-MPI at rest and during pharmacological stress. The extent and severity of perfusion defects on PET-MPI were assessed to obtain summed stress score, summed rest score, and summed difference score. The extent and severity of perfusion defects on CT-MPI was visually assessed using the same grading scale. CT-MPI was compared with PET-MPI as the gold standard on a per-territory and a per-patient basis. Results On a per-patient basis, there was moderate agreement between CT-MPI and PET-MPI with a weighted 0.49 for detection of stress induced perfusion abnormalities. Using PET-MPI as a reference, static CT-MPI had 89% sensitivity (SS), 58% specificity (SP), 71% accuracy (AC), 88% negative predictive value (NPV), and 59% positive predictive value (PPV) to diagnose stress-rest perfusion deficits on a per-patient basis. On a per-territory analysis, CT-MPI had 73% SS, 65% SP, 67% AC, 90.8% NPV, and 34% PPV to diagnose perfusion deficits. Conclusions CT-MPI has high sensitivity and good overall accuracy for the diagnosis of functionally significant CAD using 82 Rb PET-MPI as the reference standard. CT-MPI may play an important role in assessing the functional significance of CAD especially in combination with CCTA.
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Inácio et al. (2022) studied this question.
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