The assessment of coronary CT angiography in the diagnosis of vulnerable plaques
10.3760/cma.j.cn112149-20231113-00381
- VernacularTitle:冠状动脉CT血管成像在易损斑块诊断中的价值
- Author:
Xiaoxue ZHANG
1
;
Yukun PAN
;
Ruigang XIE
;
Yinghui GE
Author Information
1. 阜外华中心血管病医院 河南省人民医院 郑州大学华中阜外医院介入中心 河南省心脏病影像医学重点实验室，郑州 450003
- Keywords:
Tomography, X-ray computed;
Vulnerable plaque;
Coronary;
Intravascular ultrasound;
Quantitative parameters;
Qualitative parameters
- From:
Chinese Journal of Radiology
2024;58(8):822-828
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the value of coronary CT angiography (CCTA) in the diagnosis of vulnerable plaques using intravascular ultrasound (IVUS) as the gold standard.Methods:A retrospective analysis was conducted on the clinical and imaging data of coronary artery disease patients who underwent both IVUS and CCTA examinations at Fuwai Central China Cardiovascular Hospital from December 2017 to March 2022. Based on the IVUS results, the coronary plaques were divided into vulnerable and non-vulnerable plaque groups. Finally, 43 patients with a total of 88 coronary artery plaques were included, of which 26 were vulnerable plaques. Plaque analysis were performed on the CCTA images, including qualitative parameters such as low-density plaques (LAP), "napkin-ring" sign (NRS), spotty calcification (SC) and positive remodeling (PR), and the quantitative parameters such as minimum lumen area (MLA), total plaque volume (TPV), lesion length, volume and proportion of calcified plaque and fibrous plaque. The differences of CCTA parameters between the two groups were compared using t-test, chi-square test, and rank sum test. The association between CCTA parameters and the risk of vulnerable plaque was evaluated by logistic regression. Different CCTA parameters were used to establish qualitative, quantitative, and hybrid models, and the diagnostic efficacy of different models for vulnerable plaque was evaluated using the receiver operating characteristic (ROC) curve. Results:There were significant differences in NRS ( χ2=14.22, P<0.001), MLA ( Z=3.25, P=0.001), lesion length ( Z=-3.28, P=0.001), TPV ( Z=-2.04, P=0.041), calcified plaque volume ( Z=-2.52, P=0.012) and fibrous plaque volume ( Z=-2.10, P=0.035) between vulnerable and non-vulnerable plaque groups. The logistic regression analysis showed that NRS ( OR=9.66, 95% CI 2.36-39.54), MLA ( OR=0.76, 95% CI 0.59-0.99) and lesion length ( OR=1.03, 95% CI 1.00-1.07) were independent risk factors for vulnerable plaques. The diagnostic efficacy of the hybrid model based on CCTA parameters was superior to the qualitative model [hybrid model: area under the ROC curve (AUC)=0.82, 95% CI 0.72-0.89; qualitative model: AUC=0.68, 95% CI 0.57-0.78; Z=2.57, P=0.010]. Conclusions:CCTA parameters NRS, MLA, and lesion length are independent risk factors for coronary vulnerable plaques. The diagnostic efficacy of the hybrid model based on CCTA parameters is superior to the qualitative model for vulnerable plaques.
