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.
| Original language | English |
|---|---|
| Pages (from-to) | 207-217 |
| Number of pages | 11 |
| Journal | European heart journal cardiovascular Imaging |
| Volume | 26 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Feb 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- fractional flow reserve
- myocardial perfusion imaging
- positron emission tomography
- quantitative perfusion cardiac magnetic resonance imaging
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