title: Noninvasive Cardiac Quantum Spectrum Technology Effectively Detects Myocardial Ischemia.
abstract: BACKGROUND A standard resting electrocardiogram (ECG) shows limited sensitivity and specificity for the detection of coronary artery disease (CAD). Several analytic methods exist to enhance the sensitivity and specificity of resting ECG for diagnosis of CAD. We compared a new computer-enhanced, resting ECG analysis device, the cardiac quantum spectrum (CQS) technique, with coronary angiography in the detection of CAD. MATERIAL AND METHODS A consecutive sample of 93 patients with a history of suspected CAD scheduled for coronary angiography was evaluated with CQS before coronary angiography. The sensitivity and specificity of CQS and standard 12-lead ECG for detecting hemodynamically relevant coronary stenosis were compared, using coronary angiography as the reference standard. Kappa analysis was performed to assess the agreement between CQS severity scores and the level of stenosis determined by coronary angiography. RESULTS The CQS system identified 78 of 82 patients with hemodynamically relevant stenosis (sensitivity, 95.1%; specificity, 63.6%; accuracy, 91.4%; positive predictive value, 95.1%; negative predictive value, 63.6%). Sensitivity and accuracy were much higher for CQS analysis than for the standard ECG. The Kappa value, assessing the level of agreement between CQS and coronary angiography, was 0.376 (P<0.001). CONCLUSIONS CQS analysis of resting ECG data detects hemodynamically relevant CAD with high sensitivity and specificity.
authors.affiliation: Department of Cardiology, Hainan Branch of Chinese PLA General Hospital, Sanya, Hainan, China (mainland).
authors.forename: Ke
authors.initials: K
authors.lastname: Li
authors.affiliation: Department of Cardiology, Hainan Branch of Chinese PLA General Hospital, Sanya, Hainan, China (mainland).
authors.forename: Qiao
authors.initials: Q
authors.lastname: Xue
authors.affiliation: Department of Cardiology, Chinese PLA General Hospital, Beijing, China (mainland).
authors.forename: Mohan
authors.initials: M
authors.lastname: Liu
authors.affiliation: Department of Cardiology, Chinese PLA General Hospital, Beijing, China (mainland).
authors.forename: Xiaoqin
authors.initials: X
authors.lastname: Zheng
authors.affiliation: Department of Cardiology, Chinese PLA General Hospital, Beijing, China (mainland).
authors.forename: Rui
authors.initials: R
authors.lastname: Chen
authors.affiliation: Department of Cardiology, Chinese PLA General Hospital, Beijing, China (mainland).
authors.forename: Yufeng
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Cardiology, Chinese PLA General Hospital, Beijing, China (mainland).
authors.forename: Qing
authors.initials: Q
authors.lastname: Dan
authors.affiliation: Department of Cardiology, Chinese PLA General Hospital, Beijing, China (mainland).
authors.forename: Danqun
authors.initials: D
authors.lastname: Fang
mesh_terms: D000368:Aged; D017023:Coronary Angiography / Q000295:instrumentation / Q000379:methods; D023921:Coronary Stenosis / Q000175:diagnosis; D004562:Electrocardiography / Q000295:instrumentation / Q000379:methods*; D005260:Female; D006321:Heart / Q000503:physiopathology; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008297:Male; D008875:Middle Aged; D017202:Myocardial Ischemia / Q000000981:diagnostic imaging* / Q000503:physiopathology; D011446:Prospective Studies