Diagnostic accuracy of 64-slice multidetector computed tomography for selecting coronary artery bypass graft surgery candidates

Abstract

The objective of our study was to investigate the diagnostic accuracy of computed tomographic coronary angiography for the selection of candidates for coronary artery bypass graft surgery. Institutional review board approval was obtained. We included 172 patients (mean age, 63 years; 127men and 45 women) with a suspicion of coronary artery disease who underwent both computed tomographic coronary angiography and conventional coronary angiography. We established eligible criteria for coronary artery bypass graft surgery based on American College of Cardiology/American Heart Association practice guidelines: 3-vessel disease, left main coronary artery disease, and left main coronary artery equivalent disease. Results of computed tomographic coronary angiography and conventional coronary angiography were reviewed retrospectively by 2 radiologists and 2 cardiologists who were unaware of the other examiners' findings. Diagnostic performances of computed tomographic coronary angiography were calculated, with conventional coronary angiography as the reference standard. The overall sensitivity, specificity, positive predictive value, and negative predictive value of computed tomographic coronary angiography for the selection of coronary artery bypass graft surgery candidates were 85.9%, 96.0%, 93.8%, and 90.7%, respectively. We also obtained high diagnostic performances for 3-vessel disease (sensitivity, 83.1%; specificity, 96.5%; positive predictive value, 92.5%; negative predictive value, 91.6%), left main coronary artery disease (sensitivity, 94.7%; specificity, 96.7%; positive predictive value, 78.3%; negative predictive value, 99.3%), and left main coronary artery equivalent disease (sensitivity, 100%; specificity, 100%; positive predictive value, 100%; negative predictive value, 100%). Patients selected as candidates for coronary artery bypass graft surgery with conventional coronary angiography can also be relatively accurately classified by using computed tomographic coronary angiography with 64-slice multidetector computed tomography.