4.6 Article

Assessment of Coronary Artery Stenosis Severity and Location Quantitative Analysis of Transmural Perfusion Gradients by High-Resolution MRI Versus FFR

期刊

JACC-CARDIOVASCULAR IMAGING
卷 6, 期 5, 页码 600-609

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jcmg.2012.09.019

关键词

adenosine; coronary disease; fractional flow reserve; magnetic resonance imaging; perfusion

资金

  1. Wellcome Trust
  2. Engineering and Physical Sciences Research Council (EPSRC) [WT 088641/Z/09/Z]
  3. British Heart Foundation [FS/08/058/25305, FS/10/62/28409]
  4. British Heart Foundation (BHF) [RE/08/003, FS/10/029/28253]
  5. Biomedical Research Centre [BRC-CTF 196]
  6. Wellcome Trust [WT078288]
  7. Department of Health via the National Institute for Health Research comprehensive Biomedical Research Centre
  8. Philips Healthcare
  9. Bayer Schering Pharma
  10. British Heart Foundation [FS/10/029/28253, FS/10/62/28409] Funding Source: researchfish

向作者/读者索取更多资源

OBJECTIVES This study sought to test the hypothesis that transmural perfusion gradients (TPG) on adenosine stress myocardial perfusion cardiac magnetic resonance (CMR) predict hemodynamically significant coronary artery disease (CAD) as defined by fractional flow reserve (FFR). BACKGROUND Myocardial ischemia affects the subendocardial layers of the left ventricular myocardium earlier and more severely than the outer layers, and the identification of TPG should be sensitive and specific for the diagnosis of CAD. Previous studies have shown that high spatial resolution myocardial perfusion CMR allows quantitation of TPG between the subendocardium and the subepicardium. METHODS Sixty-seven patients (53 men, age 61 +/- 9 years) underwent coronary angiography and high-resolution (1.2 x 1.2-mm in-plane) adenosine stress perfusion CMR at 3.0-1. TPG was calculated for 3 coronary territories. Visual analysis was performed to identify myocardial ischemia. FFR was measured in all vessels with >= 50% severity stenosis. FFR <0.8 was considered hemodynamically significant. In a training group of 30 patients, the optimal threshold of TPG to detect significant CAD was determined (Group 1). This threshold was then tested prospectively in the remaining 37 patients (Group 2). RESULTS In Group 1, a 20% TPG provided the best diagnostic threshold on both per-segment and per-patient analysis. Applied to Group 2, this threshold yielded a sensitivity of 0.78, specificity of 0.94, and area under the curve of 0.86 for the detection of CAD in a per-segment analysis and of 0.89, 0.83, and 0.86 in a per-patient analysis, respectively. TPG had a similar diagnostic accuracy to visual assessment. Linear regression analysis showed a relationship between TPG and FFR values, with r = 0.63 (p < 0.001). CONCLUSIONS The quantitative analysis of transmural perfusion gradients on high-resolution myocardial perfusion CMR accurately predicts hemodynamically significant CAD as defined by FFR. A TPG diagnostic threshold of 20% is as accurate as visual assessment. (J Am Coll Cardiol Img 2013;6: 600-9) (C) 2013 by the American College of Cardiology Foundation

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