BACKGROUND: Myocardial perfusion reserve can be noninvasively assessed with cardiovascular MR. In this study, the diagnostic accuracy of this technique for the detection of significant coronary artery stenosis was evaluated. METHODS AND RESULTS: In 15 patients with single-vessel coronary artery disease and 5 patients without significant coronary artery disease, the signal intensity-time curves of the first pass of a gadolinium-DTPA bolus injected through a central vein catheter were evaluated before and after dipyridamole infusion to validate the technique. A linear fit was used to determine the upslope, and a cutoff value for the differentiation between the myocardium supplied by stenotic and nonstenotic coronary arteries was defined. The diagnostic accuracy was then examined prospectively in 34 patients with coronary artery disease and was compared with coronary angiography. A significant difference in myocardial perfusion reserve between ischemic and normal myocardial segments (1.08+/-0.23 and 2.33+/-0.41; P<0.001) was found that resulted in a cutoff value of 1.5 (mean minus 2 SD of normal segments). In the prospective analysis, sensitivity, specificity, and diagnostic accuracy for the detection of coronary artery stenosis (> or =75%) were 90%, 83%, and 87%, respectively. Interobserver and intraobserver variabilities for the linear fit were low (r=0.96 and 0.99). CONCLUSIONS: MR first-pass perfusion measurements yielded a high diagnostic accuracy for the detection of coronary artery disease. Myocardial perfusion reserve can be easily and reproducibly determined by a linear fit of the upslope of the signal intensity-time curves.
BACKGROUND: Myocardial perfusion reserve can be noninvasively assessed with cardiovascular MR. In this study, the diagnostic accuracy of this technique for the detection of significant coronary artery stenosis was evaluated. METHODS AND RESULTS: In 15 patients with single-vessel coronary artery disease and 5 patients without significant coronary artery disease, the signal intensity-time curves of the first pass of a gadolinium-DTPA bolus injected through a central vein catheter were evaluated before and after dipyridamole infusion to validate the technique. A linear fit was used to determine the upslope, and a cutoff value for the differentiation between the myocardium supplied by stenotic and nonstenotic coronary arteries was defined. The diagnostic accuracy was then examined prospectively in 34 patients with coronary artery disease and was compared with coronary angiography. A significant difference in myocardial perfusion reserve between ischemic and normal myocardial segments (1.08+/-0.23 and 2.33+/-0.41; P<0.001) was found that resulted in a cutoff value of 1.5 (mean minus 2 SD of normal segments). In the prospective analysis, sensitivity, specificity, and diagnostic accuracy for the detection of coronary artery stenosis (> or =75%) were 90%, 83%, and 87%, respectively. Interobserver and intraobserver variabilities for the linear fit were low (r=0.96 and 0.99). CONCLUSIONS: MR first-pass perfusion measurements yielded a high diagnostic accuracy for the detection of coronary artery disease. Myocardial perfusion reserve can be easily and reproducibly determined by a linear fit of the upslope of the signal intensity-time curves.
Authors: W Gregory Hundley; David A Bluemke; J Paul Finn; Scott D Flamm; Mark A Fogel; Matthias G Friedrich; Vincent B Ho; Michael Jerosch-Herold; Christopher M Kramer; Warren J Manning; Manesh Patel; Gerald M Pohost; Arthur E Stillman; Richard D White; Pamela K Woodard Journal: Circulation Date: 2010-05-17 Impact factor: 29.690
Authors: W Gregory Hundley; David A Bluemke; J Paul Finn; Scott D Flamm; Mark A Fogel; Matthias G Friedrich; Vincent B Ho; Michael Jerosch-Herold; Christopher M Kramer; Warren J Manning; Manesh Patel; Gerald M Pohost; Arthur E Stillman; Richard D White; Pamela K Woodard Journal: J Am Coll Cardiol Date: 2010-06-08 Impact factor: 24.094
Authors: E Gerbaud; H Cochet; E Bullier; C Ragot; S H Gilbert; H Douard; Y Pucheu; F Laurent; P Coste; L Bordenave; M Montaudon Journal: Br J Radiol Date: 2014-04-29 Impact factor: 3.039
Authors: Federico E Mordini; Tariq Haddad; Li-Yueh Hsu; Peter Kellman; Tracy B Lowrey; Anthony H Aletras; W Patricia Bandettini; Andrew E Arai Journal: JACC Cardiovasc Imaging Date: 2014-01