Prognostic value of CT-derived myocardial blood flow, CT fractional flow reserve and high-risk plaque features for predicting major adverse cardiac events

部分流量储备 狼牙棒 医学 冠状动脉疾病 心脏病学 胸痛 内科学 心肌灌注成像 接收机工作特性 灌注 曲线下面积 血流 放射科 核医学 冠状动脉造影 心肌梗塞 传统PCI
作者
Lihua Yu,Zhigang Lu,Xu Dai,Chengxing Shen,Lei Zhang,Jiayin Zhang
出处
期刊:Cardiovascular diagnosis and therapy [AME Publishing Company]
卷期号:11 (4): 956-966 被引量:11
标识
DOI:10.21037/cdt-21-219
摘要

Myocardial blood flow (MBF), CT fractional flow reserve (CT-FFR) and high-risk plaque (HRP) features have been revealed to be associated with patients' prognosis. However, direct intra-individual comparison of these CT-derived parameters has not been explored yet. The aim of this study was to investigate the prognostic value of CT-derived MBF, CT-FFR and HRP features for predicting major adverse cardiac events (MACEs).Consecutive patients with chest pain and intermediate-to-high pre-test probability of coronary artery disease (CAD) were prospectively enrolled. All patients were referred for dynamic CT myocardial perfusion imaging (CT-MPI) + coronary CT angiography (CCTA) and followed up for at least 1 year. MBFischemic (mean MBF of all ischemic segments), MBFratio (MBF of ischemic segments/MBF of reference segments), CT-FFR and HRP features were measured and multivariate analysis was used to evaluate the predictive value of all above parameters for MACEs.One hundred and forty-two patients were included into final analysis. MBFischemic and MBFratio was significantly lower in patients with MACE compared to patients without MACE (87 vs. 153 mL/100 mL/min and 0.64 vs. 0.95, both P<0.001). Similarly, CT-FFR was also markedly lower in patients with MACE (0.58 vs. 0.88, P<0.001) whereas coronary artery calcium score (CACS) was significantly higher (1,038.9 vs. 34.2, P<0.001). According to ROC curve analysis, MBFischemic, MBFratio and CACS had largest area under curve (AUC =0.872, 0.855 and 0.813 respectively, all P<0.001) for identifying patients with MACE. After adjusted by multivariate analysis, MBFischemic (hazard ratio =23.382, P=0.003) and CACS (hazard ratio =3.759, P=0.029) were revealed to be the independent predictors for MACE where CT-FFR and HRP features failed to have prognostic value.MBFischemic derived from dynamic CT-MPI was the strongest predictor for MACE, followed by CACS. MBFischemic outperformed HRP features and CT-FFR for prediction of unfavorable clinical outcome.
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