The lesion characteristics and predictors of obstructive coronary artery disease with anatomy-function mismatch
10.3760/cma.j.cn112149-20210226-00160
- VernacularTitle:解剖和功能不匹配阻塞性冠状动脉病变的CT斑块特征和预测因素
- Author:
Mengdi JIANG
1
;
Xiaolei ZHANG
;
Yang HOU
;
Minwen ZHENG
;
Jiayin ZHANG
;
Bo ZHANG
;
Daimin ZHANG
;
Lei XU
;
Xiuhua HU
;
Yining WANG
;
Jian YANG
;
Hui LIU
;
Fan ZHOU
;
Guifen YANG
;
Longjiang ZHANG
Author Information
1. 南京大学医学院附属金陵医院 东部战区总医院放射诊断科 210002
- Keywords:
Coronary artery disease;
Fractional flow reserve;
Computed tomography angiography;
Plaque characteristics
- From:
Chinese Journal of Radiology
2021;55(12):1287-1293
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the lesion characteristics and predictors of invasive coronary angiography (ICA)-verified obstructive lesions with fractional flow reserve (FFR)>0.80, that is, anatomy-function mismatch.Methods:A total of 515 obstructive vessels in 419 coronary disease patients from 11 Chinese medical centers undergoing coronary CT angiography and ICA and FFR were retrospectively analyzed. All vessels had one target lesion with diameter stenosis ≥50 % by ICA. There were 229 vessels in the match group (FFR≤0.80) and 286 vessels in the mismatch group (FFR>0.80). The lesion characteristics including lesion territory, the distance of the coronary artery ostium to the proximal end of the lesion, minimum lumen area, reference lumen area, plaque length and burden, plaque volume and component volume, remodeling index and plaque morphological complexity were measured and compared between the two groups. Optimal thresholds of quantitative plaque characteristics were defined by Yoden index. Logistic regression analysis was used to analyze the predictors of anatomy-function mismatch. Area under receiver operating characteristic curve (AUC) was used to analyze the ability of different lesion features to predict mismatched lesions.Results:The coronary stenosis, plaque burden and length, plaque volume (including each component volume) in the mismatch group were smaller than those in the match group, and FFR, minimum lumen area were larger (all P<0.05). Left anterior descending artery (LAD) lesion and severe complex plaque were more common in the match group than the mismatch group with a statistically significant difference. Univariate logistic regression analysis showed that LAD lesion, minimum lumen area>4 mm 2, plaque burden and length, plaque calcification volume<27 mm 3, plaque lipid volume<30 mm 3, plaque fiber volume<150 mm 3 and plaque morphological complexity were predictiors of anatomic function mismatched lesions; Multivariate logistic regression showed that the minimum lumen area>4 mm 2 (OR=3.371, 95%CI 1.903-5.973, P<0.001), plaque lipid volume<30 mm 3 (OR=3.014, 95%CI 1.691-5.373, P<0.001), plaque morphological complexity (mild OR=17.772, 95%CI 8.072-39.128, P<0.001, moderate OR=6.383, 95%CI 3.739-10.896, P<0.001) were independent predictors of mismatched lesions. The AUC of the model based on the minimum lumen area, plaque lipid volume and morphological complexity was 0.824, which was superior to either of the plaque feature alone ( P<0.001). Conclusions:The minimum lumen area, lipid volume and plaque morphological complexity are independent predictors of the anatomical-functional mismatch lesions, and the combination can significantly improve the prediction value.
