Key result
Diastolic stress perfusion-CMR yields higher blood flow estimates than systolic but similar CAD diagnostic accuracy.
Why the study?
Differences in myocardial blood flow between systole and diastole have been reported in healthy volunteers but the impact of cardiac phase on detecting coronary artery disease is unknown.
Does stress perfusion-CMR acquired at mid-systole compared to end-diastole have different diagnostic accuracy for detecting coronary artery disease in patients with suspected CAD?
Cross-Sectional (n=40)
No
Does stress perfusion-CMR acquired at mid-systole compared to end-diastole have different diagnostic accuracy for detecting coronary artery disease in patients with suspected CAD?
Answers are grounded in this paper and cite their sources.
Stress perfusion-CMR acquired in systole and diastole have similar diagnostic accuracy for CAD, but require different myocardial perfusion reserve cut-off values, highlighting the need for standardized acquisition phases in 3D perfusion-CMR.
Differences in myocardial blood flow (MBF) between systole and diastole have been reported in healthy volunteers but the impact of cardiac phase on detecting coronary artery disease (CAD) is unknown [ 1 ]. This study aimed to compare MBF estimates from cardiovascular magnetic resonance (perfusion-CMR) imaging in systole and diastole in patients with suspected CAD and determine if either phase has greater diagnostic accuracy. Following invasive coronary angiography, 40 patients (68% men, 64 ± 8 yrs) underwent stress perfusion-CMR (1.5T Philips) acquired at mid-systole and end-diastole simultaneously [ 1 ]. Based on angiographic stenosis >70%, patients were grouped as having ‘CAD’ or ‘no CAD’. In patients with CAD, myocardial segments were classified as ‘stenosis-dependent’ (downstream of a significant stenosis) or ‘remote’. For each segment, MBF (Fermi-constrained deconvolution) and myocardial perfusion reserve (MPR) were calculated. The diagnostic accuracy of each phase was determined with receiver operator characteristic analysis. Twenty-one patients (53%) had CAD. A typical example of a patient with ischemia is shown in Figure 1 . Resting MBF was similar in the two cardiac phases for both normal and CAD patients (all p values > 0.05). MBF at stress was greater in diastole than systole in normal, remote and stenosis-dependent segments (3.75 ± 1.5 vs. 3.15 ± 1.1 ml/g/min; 2.75 ± 1.20 vs. 2.38 ± 0.99 ml/g/min; 2.49 ± 1.07 vs. 2.23 ± 0.90 ml/g/min; all p values < 0.01). MPR was also greater in diastole than systole in all three segment groups (all p values <0.05) (Figure 2 ). On receiver operator characteristic analysis, the optimal MPR cut-off for the detection of CAD was 1.95 for systole and 2.04 for diastole (area under curve 0.82 vs. 0.79; p=0.30). Example perfusion-CMR images with acquisition in diastole and systole. This patient had a subtotal occlusion of the left anterior descending artery. Corresponding stress perfusion defects (white arrows) are seen in the anterior, anteroseptal and inferoseptal segments of a mid-ventricular slice acquired in both diastole and systole. Comparison of MPR between systole and diastole. Segmental MPR (mean ± SEM) is shown in diastole and systole for normal segments, remote CAD segments and stenosis-dependent CAD segments. Estimates of stress MBF and MPR by perfusion-CMR in this study were greater in diastole than systole in normal and CAD patients. Although the diagnostic accuracy of both phases was similar, the MPR cut-off values were different. These observations are particularly important in the emerging field of 3D perfusion-CMR where the acquisition phase may be specifically chosen. Different estimates of MBF and different MPR cut-off values between phases mean a universal standard needs to be agreed for 3D acquisitions.
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Motwani et al. (2012) conducted a cross-sectional in Suspected coronary artery disease (n=40). Diastolic acquisition phase (perfusion-CMR) vs. Systolic acquisition phase was evaluated on Diagnostic accuracy (Area under curve) for detection of CAD (p=0.30). Diastolic acquisition of stress perfusion-CMR yielded higher estimates of myocardial blood flow compared to systolic acquisition, though diagnostic accuracy for detecting CAD was similar (AUC 0.79 vs 0.82, p=0.30).
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