Key result
Stress computed tomography myocardial perfusion with visual evaluation showed similar diagnostic performance (92% vs 88% vessel-level accuracy) compared to quantitative analysis with transmural perfusion ratio.
Why the study?
Does visual evaluation of stress-CTP provide similar diagnostic accuracy to quantitative TPR analysis for detecting hemodynamically significant CAD in symptomatic patients?
Observational (n=88)
Does visual evaluation of stress-CTP provide similar diagnostic accuracy to quantitative TPR analysis for detecting hemodynamically significant CAD in symptomatic patients?
Absolute Event Rate: 92% vs 88%
Visual evaluation of stress-CTP has similar diagnostic performance to quantitative TPR measurement for detecting hemodynamically significant CAD.
Visual CTP may outperform TPR for CAD detection; leaves open need for larger outcome trials.
Aims: To compare the diagnostic accuracy of stress computed tomography myocardial perfusion (CTP) for the detection of significant coronary artery disease with visual approach vs. quantitative analysis with transmural perfusion ratio (TPR) in consecutive symptomatic patients scheduled for invasive coronary angiography (ICA) plus invasive fractional flow reserve (FFR). Methods and results: Eighty-eight consecutive symptomatic patients underwent rest coronary computed tomography angiography (cCTA) followed by static stress-CTP. Diagnostic accuracy of cCTA + stress-CTP with visual evaluation and with TPR measurement was calculated and compared with ICA and invasive FFR. Addition of stress-CTP with qualitative evaluation to rest-cCTA showed sensitivity, specificity, negative and positive predictive values, and accuracy at a vessel and patient level of 92%, 92%, 97%, 82%, 92% and 98%, 80%, 97%, 82%, 89%, respectively indicating a significant improvement of specificity, positive predictive value, and accuracy values vs. rest-cCTA in both models. Similarly, addition of stress-CTP with TPR evaluation to rest-cCTA showed sensitivity, specificity, negative and positive predictive values, and accuracy at a vessel and patient level of 84%, 90%, 93%, 76%, 88% and 91%, 71%, 89%, 75%, 81%, respectively indicating a significant improvement of specificity, positive predictive value values vs. rest-cCTA only in a vessel-based model and of positive predictive value in a patient-based model. When cCTA + stress-CTP with qualitative evaluation was compared with cCTA + stress-CTP with TPR estimation, no differences were found in terms of diagnostic performance. Conclusion: The addition of stress-CTP with visual evaluation to cCTA imaging has similar diagnostic performance when compared with the quantitative analysis of myocardial perfusion based on TPR measurement.
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Pontone et al. (2018) conducted an observational in Significant coronary artery disease (n=88). Stress computed tomography myocardial perfusion (CTP) with visual evaluation vs. Stress-CTP with quantitative analysis (transmural perfusion ratio) was evaluated on Diagnostic accuracy at a vessel level. Stress computed tomography myocardial perfusion with visual evaluation showed similar diagnostic performance (92% vs 88% vessel-level accuracy) compared to quantitative analysis with transmural perfusion ratio.
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