Objective
Our primary objective was to determine the sensitivity, specificity, and accuracy of fully quantitative stress perfusion CMR versus a reference standard of quantitative coronary angiography (QCA). We hypothesized that fully quantitative analysis of stress perfusion CMR would have high diagnostic accuracy for identifying significant coronary artery stenosis and exceed the accuracy of semi-quantitative measures of perfusion and qualitative interpretation.
Background
Relatively few studies apply fully quantitative CMR perfusion measures to patients with coronary disease and comparisons to semi-quantitative and qualitative methods are limited.
Methods
Dual bolus dipyridamole stress perfusion CMR exams were performed in 67 patients with clinical indications for assessment of myocardial ischemia. Stress perfusion images alone were analyzed with a fully quantitative method (QP) and 3 semi-quantitative methods including contrast enhancement ratio (CER), upslope index (SLP), and upslope integral (INT). Comprehensive exams (cine imaging, stress/rest perfusion, late gadolinium enhancement) were analyzed qualitatively with two methods including the Duke Algorithm and standard clinical interpretation. A 70% or greater stenosis by QCA was considered abnormal.
Results
The optimum diagnostic threshold for QP determined by receiver operating characteristic curve occurred when endocardial flow decreased to <50% of mean epicardial flow which yielded a sensitivity of 87% and specificity of 93%. The area under the curve (AUC) for QP was 0.92 which was superior to semi-quantitative methods: CER 0.78, SLP 0.82, and INT 0.75 (p=0.011, p=0.019, p=0.004 versus QP, respectively). AUC for QP was also superior to qualitative methods: Duke Algorithm 0.70 and clinical interpretation 0.78 (p<0.001 and p<0.001 versus QP, respectively).
Conclusions
Fully quantitative stress perfusion CMR has high diagnostic accuracy for detecting obstructive CAD. QP outperforms semi-quantitative measures of perfusion and qualitative methods that incorporate a combination of cine, perfusion, and late gadolinium enhancement imaging. These findings suggest a potential clinical role for quantitative stress perfusion CMR.