Cited 11 times since 2016 (1.4 per year) source: EuropePMC European journal of nuclear medicine and molecular imaging, Volume 43, Issue 8, 18 3 2016, Pages 1522-1529 Segmental quantitative myocardial perfusion with PET for the detection of significant coronary artery disease in patients with stable angina. Berti V, Sciagrà R, Neglia D, Pietilä M, Scholte AJ, Nekolla S, Rouzet F, Pupi A, Knuuti J
Purpose
The goal of this study is to determine the technical accuracy of segmental perfusion parameters assessed with quantitative cardiac PET imaging in the evaluation of coronary artery disease (CAD) in patients with stable angina.
Methods
A cohort of patients who participated in the EVINCI protocol underwent an evaluation of coronary anatomy by invasive coronary angiography (ICA) and/or coronary computed tomography angiography (CCTA) and PET myocardial perfusion imaging with H2 (15)O, (13)NH3 or (82)Rb. PET studies were analyzed by two independent observers blinded to clinical and instrumental data, and classified as positive or negative for significant CAD using only segmental perfusion measurements and cut-off values from literature.
Results
On a per-patient basis, the overall inter-observer agreement on PET results was 90 % (kappa = 0.79), indicating substantial agreement. On a per-vessel basis, the inter-observer agreement on PET results was 88 % (kappa = 0.74) in the RCA territory, 94 % (kappa = 0.84) in the LAD territory and 94 % (kappa = 0.85) in the LCX territory. Segmental PET measurements correctly identified 85 % of the patients, resulting in a global sensitivity of 86 %, a specificity of 84 %, a positive predictive value (PPV) of 69 % and a negative predictive value (NPV) of 93 %. In vessel-based analyses, quantitative perfusion parameters had a sensitivity, specificity, PPV and NPV of 92 %, 82 %, 42 % and 99 %, respectively, for the detection of significant coronary stenoses in all major coronary arteries.
Conclusions
The assessment of absolute myocardial perfusion parameters measured at a segment level lead to reliable and accurate identification of patients with significant coronary stenosis at ICA and/or CCTA.
