Diagnostic performance of quantitative perfusion cardiac magnetic resonance imaging in patients with prior coronary artery disease

定量灌注心脏磁共振成像在既往有冠状动脉疾病患者中的诊断性能

阅读:1

Abstract

AIMS: The diagnostic performance of quantitative perfusion cardiac magnetic resonance (QP-CMR) imaging has scarcely been evaluated in patients with a history of coronary artery disease (CAD) and new onset chest pain. The present study compared the diagnostic performance of automated QP-CMR for the detection of fractional flow reserve (FFR) defined hemodynamically significant CAD with visual assessment of first-pass stress perfusion CMR (v-CMR) and quantitative [15O]H2O positron emission tomography (PET) imaging in a true head-to-head fashion in patients with prior CAD. METHODS AND RESULTS: This PACIFIC-2 substudy included 145 symptomatic chronic coronary symptom patients with prior myocardial infarction and/or percutaneous coronary intervention. All patients underwent dual-sequence, single-bolus perfusion CMR, and [15O]H2O PET perfusion imaging followed by invasive coronary angiography with three-vessel FFR. Hemodynamically significant CAD was defined as an FFR ≤ 0.80. QP-CMR, v-CMR, and PET exhibited a sensitivity of 66, 67, and 80%, respectively, whereas specificity was 60, 62, and 63%. Sensitivity of QP-CMR was lower than that of PET (P = 0.015), whereas the specificity of QP-CMR and PET was comparable. Diagnostic accuracy and area under the curve of QP-CMR (64% and 0.66) was comparable to both v-CMR [66% (P = not significant [NS]) and 0.67 (P = NS)] and PET [74% (P = NS) and 0.78 (P = NS)]. CONCLUSION: In patients with prior myocardial infarction and/or percutaneous coronary intervention, the diagnostic performance of QP-CMR was comparable to visual assessment of first-pass stress perfusion CMR and quantitative [15O]H2O PET for the detection of hemodynamically significant CAD as defined by FFR.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。