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Perfusion Cardiac Magnetic Resonance Imaging as a Rule‐Out Test for Cardiac Allograft Vasculopathy
Author(s) -
Chih S.,
Ross H. J.,
Alba A. C.,
Fan C. S.,
Manlhiot C.,
Crean A. M.
Publication year - 2016
Publication title -
american journal of transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.89
H-Index - 188
eISSN - 1600-6143
pISSN - 1600-6135
DOI - 10.1111/ajt.13839
Subject(s) - medicine , intravascular ultrasound , cutoff , receiver operating characteristic , cardiology , perfusion , magnetic resonance imaging , likelihood ratios in diagnostic testing , fractional flow reserve , myocardial perfusion imaging , ultrasound , perfusion scanning , radiology , coronary angiography , myocardial infarction , physics , quantum mechanics
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 .