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Perfusion Cardiac Magnetic Resonance Imaging as a Rule-Out Test for Cardiac Allograft Vasculopathy
1Heart Failure-Transplantation, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Canada.
Insights
Perfusion cardiac magnetic resonance (CMR) imaging can effectively detect cardiac allograft vasculopathy (CAV) after heart transplantation. An optimal myocardial perfusion reserve index (MPR) cutoff of ≤1.68 shows high sensitivity and negative predictive value for ruling out CAV.
Area of Science:
- Cardiology
- Medical Imaging
- Transplantation Medicine
Background:
- Cardiac allograft vasculopathy (CAV) is a primary cause of death post-heart transplant.
- Current noninvasive imaging methods for CAV assessment have significant limitations.
Purpose of the Study:
- To investigate the utility of perfusion cardiac magnetic resonance (CMR) imaging in detecting CAV.
- To determine an optimal myocardial perfusion reserve index (MPR) cutoff for CAV detection using receiver operating characteristic curve analysis.
Main Methods:
- A cross-sectional study involving 29 heart transplant recipients.
- Comparison of CMR findings with intravascular ultrasound (IVUS) for CAV diagnosis (maximal intimal thickness [MIT] >0.5 mm).
- Evaluation of CMR performance metrics including sensitivity, specificity, and likelihood ratios.
Main Results:
- CAV was identified in 70% of patients by IVUS.
- MPR was significantly lower in patients with CAV (1.35 ± 0.23 vs. 1.71 ± 0.45, p = 0.013).
- An MPR cutoff ≤1.68 demonstrated 100% sensitivity and 100% negative predictive value for CAV.
Conclusions:
- Perfusion CMR imaging shows promise for noninvasive CAV detection.
- An MPR cutoff of ≤1.68 is a highly sensitive indicator for ruling out CAV in heart transplant recipients.
Abstract:
Cardiac allograft vasculopathy (CAV) is a leading cause of mortality after heart transplantation. Noninvasive imaging techniques used in CAV evaluation have important limitations. In a cross-sectional study, we investigated perfusion cardiac magnetic resonance (CMR) imaging to determine an optimal myocardial perfusion reserve index (MPR) cutoff for detecting CAV using receiver operating characteristic curve analysis. We evaluated CMR performance using sensitivity, specificity and likelihood ratio analysis. We included 29 patients (mean 5 ± 4 years after transplant) scheduled for coronary angiography with intravascular ultrasound (IVUS) who completed CMR. CAV was defined as maximal intimal thickness (MIT) >0.5 mm by IVUS of the left anterior descending artery. CAV was evident in 19 patients (70%) on IVUS (mean MIT 0.82 ± 0.42 mm). MPR was significantly lower in patients with MIT ≥0.50 mm (1.35 ± 0.23 vs. 1.71 ± 0.45, p = 0.013). There was moderate inverse correlation between MPR and MIT (r = -0.36, p = 0.075). The optimal MPR cutoff ≤1.68 for predicting CAV showed sensitivity of 100%, specificity of 63%, a negative predictive value of 100%, a positive predictive value of 86% and a positive likelihood ratio of 2.7. An MPR ≤1.68 has high negative predictive value, suggesting its potential as a test to rule out CAV.
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