BACKGROUND: Although accelerated high-spatial-resolution cardiovascular MR (CMR) myocardial perfusion imaging has been shown to be clinically feasible, there has not yet been a direct comparison with standard-resolution methods. We hypothesized that higher spatial resolution detects more subendocardial ischemia and leads to greater diagnostic accuracy for the detection coronary artery disease. This study compared the diagnostic accuracy of high-resolution and standard-resolution CMR myocardial perfusion imaging in patients with suspected coronary artery disease. METHODS AND RESULTS: A total of 111 patients were recruited to undergo 2 separate perfusion-CMR studies at 1.5 T, 1 with standard-resolution (2.5×2.5 mm in-plane) and 1 with high-resolution (1.6×1.6 mm in-plane) acquisition. High-resolution acquisition was facilitated by 8-fold k-t broad linear speed-up technique acceleration. Two observers visually graded perfusion in each myocardial segment on a 4-point scale. Segmental scores were summed to produce a perfusion score for each patient. All patients underwent invasive coronary angiography and coronary artery disease was defined as stenosis ≥50% luminal diameter (quantitative coronary angiography). CMR data were successfully obtained in 100 patients. In patients with coronary artery disease (n=70), more segments were determined to have subendocardial ischemia with high-resolution than with standard-resolution acquisition (279 versus 108; P<0.001). High-resolution acquisition had a greater diagnostic accuracy than standard resolution for identifying single-vessel disease (area under the curve, 0.88 versus 0.73; P<0.001) or multivessel disease (area under the curve, 0.98 versus 0.91; P=0.002) and overall (area under the curve, 0.93 versus 0.83; P<0.001). CONCLUSIONS: High-resolution perfusion-CMR has greater overall diagnostic accuracy than standard-resolution acquisition for the detection of coronary artery disease in both single- and multivessel disease and detects more subendocardial ischemia.
BACKGROUND: Although accelerated high-spatial-resolution cardiovascular MR (CMR) myocardial perfusion imaging has been shown to be clinically feasible, there has not yet been a direct comparison with standard-resolution methods. We hypothesized that higher spatial resolution detects more subendocardial ischemia and leads to greater diagnostic accuracy for the detection coronary artery disease. This study compared the diagnostic accuracy of high-resolution and standard-resolution CMR myocardial perfusion imaging in patients with suspected coronary artery disease. METHODS AND RESULTS: A total of 111 patients were recruited to undergo 2 separate perfusion-CMR studies at 1.5 T, 1 with standard-resolution (2.5×2.5 mm in-plane) and 1 with high-resolution (1.6×1.6 mm in-plane) acquisition. High-resolution acquisition was facilitated by 8-fold k-t broad linear speed-up technique acceleration. Two observers visually graded perfusion in each myocardial segment on a 4-point scale. Segmental scores were summed to produce a perfusion score for each patient. All patients underwent invasive coronary angiography and coronary artery disease was defined as stenosis ≥50% luminal diameter (quantitative coronary angiography). CMR data were successfully obtained in 100 patients. In patients with coronary artery disease (n=70), more segments were determined to have subendocardial ischemia with high-resolution than with standard-resolution acquisition (279 versus 108; P<0.001). High-resolution acquisition had a greater diagnostic accuracy than standard resolution for identifying single-vessel disease (area under the curve, 0.88 versus 0.73; P<0.001) or multivessel disease (area under the curve, 0.98 versus 0.91; P=0.002) and overall (area under the curve, 0.93 versus 0.83; P<0.001). CONCLUSIONS: High-resolution perfusion-CMR has greater overall diagnostic accuracy than standard-resolution acquisition for the detection of coronary artery disease in both single- and multivessel disease and detects more subendocardial ischemia.
Authors: Andreas Schuster; Niloufar Zarinabad; Masaki Ishida; Matthew Sinclair; Jeroen Phm van den Wijngaard; Geraint Morton; Gilion Ltf Hautvast; Boris Bigalke; Pepijn van Horssen; Nicolas Smith; Jos Ae Spaan; Maria Siebes; Amedeo Chiribiri; Eike Nagel Journal: J Cardiovasc Magn Reson Date: 2014-10-14 Impact factor: 5.364
Authors: Andreas Schuster; Matthew Sinclair; Niloufar Zarinabad; Masaki Ishida; Jeroen P H M van den Wijngaard; Matthias Paul; Pepijn van Horssen; Shazia T Hussain; Divaka Perera; Tobias Schaeffter; Jos A E Spaan; Maria Siebes; Eike Nagel; Amedeo Chiribiri Journal: Eur Heart J Cardiovasc Imaging Date: 2015-03-25 Impact factor: 6.875
Authors: Behzad Sharif; Reza Arsanjani; Rohan Dharmakumar; C Noel Bairey Merz; Daniel S Berman; Debiao Li Journal: Magn Reson Med Date: 2015-06-06 Impact factor: 4.668