Journal
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Volume 59, Issue 4, Pages 379-387Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacc.2011.06.079
Keywords
angiography; coronary artery disease; imaging
Categories
Funding
- Toshiba Medical Systems
- Doris Duke Charitable Foundation
- National Heart, Lung, and Blood Institute [RO1-HL66075-01, HO1-HC95162-01]
- National Institute on Aging [RO1-AG021570-01]
- GE Healthcare
- Bracco
- Guerbet
- European Regional Development Fund
- German Heart Foundation/German Foundation of Heart Research
- German Science Foundation (DFG)
- German Federal Ministry of Education and Research (BMBF) for meta-analyses
- Cardiac MR Academy Berlin
- Bayer-Schering
- Vital Images
- Toshiba Medical Systems, Asia
- GE Biosciences
- Bayer-Schering Pharma
- Infinitt Systems
- CT Core Laboratory
- Bristol-Myers Squibb
- Sanofi-Aventis
- Bracco Diagnostics
- GE Medical Systems
- Donald W. Reynolds Foundation
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Objectives The purpose of this study was to assess the impact of patient population characteristics on accuracy by computed tomography angiography (CTA) to detect obstructive coronary artery disease (CAD). Background The ability of CTA to exclude obstructive CAD in patients of different pre-test probabilities and in presence of coronary calcification remains uncertain. Methods For the CORE-64 (Coronary Artery Evaluation Using 64-Row Multidetector Computed Tomography Angiography) study, 371 patients underwent CTA and cardiac catheterization for the detection of obstructive CAD, defined as >= 50% luminal stenosis by quantitative coronary angiography (QCA). This analysis includes 80 initially excluded patients with a calcium score >= 600. Area under the receiver-operating characteristic curve (AUC) was used to evaluate CTA diagnostic accuracy compared to QCA in patients according to calcium score and pre-test probability of CAD. Results Analysis of patient-based quantitative CTA accuracy revealed an AUC of 0.93 (95% confidence interval [CI]: 0.90 to 0.95). The AUC remained 0.93 (95% CI: 0.90 to 0.96) after excluding patients with known CAD but decreased to 0.81 (95% CI: 0.71 to 0.89) in patients with calcium score >= 600 (p = 0.077). While AUCs were similar (0.93, 0.92, and 0.93, respectively) for patients with intermediate, high pre-test probability for CAD, and known CAD, negative predictive values were different: 0.90, 0.83, and 0.50, respectively. Negative predictive values decreased from 0.93 to 0.75 for patients with calcium score <100 or >= 100, respectively (p = 0.053). Conclusions Both pre-test probability for CAD and coronary calcium scoring should be considered before using CTA for excluding obstructive CAD. For that purpose, CTA is less effective in patients with calcium score >= 600 and in patients with a high pre-test probability for obstructive CAD. (J Am Coll Cardiol 2012; 59: 379-87) (C) 2012 by the American College of Cardiology Foundation
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