摘要
Abstract
Objective:To explore the value of quantification of coronary artery disease using cardiac computed tomographic an-giography(CCTA) to predict future acute coronary syndrome(ACS). Methods:A total of 830 patients underwent 64-slice CCTA and were followed up for ACS for 2~33 months. Culprit lesion was confirmed by coronary angiography,electrocardiography and myocardial ischemic test. Coronary artery plaques were quantified using semiautomated software. Plaque area,plaque volume, plaque burden,remodeling and ratio of thickness and length were compared between culprit lesion and control lesion. Receiver Operating curve (ROC) predicting ACS was drawn and the best cut off value was selected to calculate the sensitivity、specifici-ty、positive predictive value and negative predictive value. Results:793 patients were studied. In 27 patients who had ACS and 100 random controls (selected from patients with coronary artery disease but without coronary event),27 culprit lesions and 334 control lesions were analyzed. Culprit lesion had higher plaque area(median:5.20 mm2 vs.3.71 mm2),plaque volume(22.89 mm3 vs. 11.80 mm3),plaque burden (40.5% vs.31.40%),remodeling index (1.32 vs.1.04) and ratio of thickness and length (0.33 vs.0.25). As for ROC predicting ACS,area under the curve was 0.87,0.73,0.78,0.73,0.71,respectively. Conclusion:Plaque area,plaque volume,plaque burden,remodeling and ratio of thickness and length measured on 64-slice CCTA are predictive for ACS.关键词
急性冠状动脉综合征/体层摄影术,X线计算机/罪犯斑块Key words
Acute coronary syndrome/Tomography,X-ray computed/Culprit lesion
