Prediction of Major Adverse Cardiovascular Events in Patients Within the CT-Derived Fractional Flow Reserve Gray Zone Using Coronary CT Angiography
10.3969/j.issn.1005-5185.2025.04.003
- VernacularTitle:冠状动脉CTA对CT血流储备分数灰区患者主要不良心血管事件的预测价值
- Author:
Chaoqiang ZENG
1
;
Jing WANG
;
Xuelian GAO
;
Jianying ZHANG
;
Hui WANG
Author Information
1. 首都医科大学附属北京安贞医院南充医院·南充市中心医院影像科,四川 南充 637000
- Publication Type:Journal Article
- Keywords:
Coronary disease;
Computed tomography angiography;
Grey zone;
Prognosis;
Fractional flow reserve;
Forecasting
- From:
Chinese Journal of Medical Imaging
2025;33(4):349-355
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To explore the feasibility of coronary CT angiography to predict major adverse cardiovascular events(MACE)in patients with grey zone of CT-derived fractional flow reserve(CT-FFR).Materials and Methods The imaging and clinical features of patients with suspected coronary heart disease who underwent coronary CT angiography examination and had a CT-FFR within 0.76-0.80 in Beijing Anzhen Hospital Affiliated to Capital Medical University from March 2017 to October 2018 were retrospectively collected.The incidence of MACE after coronary CT angiography was assessed by telephone at follow-up.The Cox regression model was used for feature selection,and the area under the receiver operating characteristic curve(AUC)was plotted to evaluate the predictive performance.Results The study included a total of 105 subjects,with an observed incidence rate of MACE at 31.4%(33/105).Multivariate Cox regression,adjusted for relevant parameters,indicated that △CT-FFR(HR=1.217,P=0.008),pericoronary fat attenuation index(HR=1.052,P=0.029)and plaque length(HR=1.068,P=0.047)were independent risk factors of MACE,and AUC were 0.705,0.656 and 0.701,respectively.The AUC of the combined model was 0.793,its predictive ability was higher than △CT-FFR(Z=-2.001,P=0.048),pericoronary fat attenuation index(Z=-2.402,P=0.016)and plaque length(Z=-2.004,P=0.045),respectively.Conclusion △CT-FFR,pericoronary fat attenuation index and plaque length are independent risk factors for predicting MACE in patients with grey zone of CT-FFR,and the combined model has best predictive efficacy.
