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基于冠状动脉CT血管造影的新型算法对稳定型冠状动脉疾病患者血流储备分数及血运重建的预测价值研究。

Investigation of the predictive value of a novel algorithm based on coronary CT angiography regarding fractional flow reserve and revascularization in patients with stable coronary artery disease.

作者信息

Hou Chang, Lu Yahui, Ma Yuliang, Li Qi, Liu Chuanfen, Lu Mingyu, Cao Chengfu, Liu Jian

机构信息

Department of Cardiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, China.

Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Peking University People's Hospital, Beijing, China.

出版信息

Heart Vessels. 2024 Mar;39(3):195-205. doi: 10.1007/s00380-023-02324-y. Epub 2023 Oct 28.

Abstract

Fractional flow reserve (FFR) has been established as a gold standard for functional coronary ischemia. At present, the FFR can be calculated from coronary computed tomography angiography (CCTA) images (CT-FFR). Previous studies have suggested that CT-FFR outperforms CCTA and invasive coronary angiography (ICA) in determining hemodynamic significance of stenoses. Recently, a novel automatical algorithm of CT-FFR called RuiXin-FFR has been developed. The present study is designed to investigate the predictive value of this algorithm and its value in therapeutic decision making. The present study retrospectively included 166 patients with stable coronary artery disease (CAD) who underwent CCTA screening and diagnostic ICA examination at Peking University People's Hospital, in 73 of whom wire-derived FFR was also measured. CT-FFR analyses were performed with a dedicated software. All patients were followed up for at least 1 year. We validated the accuracy of RuiXin-FFR with invasive FFR as the standard of reference, and investigated the role of RuiXin-FFR in predicting treatment strategy and long-term prognosis. The mean age of the patients was 63.3 years with 63.9% male. The CT-FFR showed a moderate correlation with wire-derived FFR (r = 0.542, p < 0.0001) and diagnostic accuracy of 87.6% to predict myocardial ischemia (AUC: 0.839, 95% CI 0.728-0.950), which was significantly higher than CCTA and ICA. In the multivariate logistic regression analysis, CT-FFR ≤ 0.80 was an independent predictor of undergoing coronary revascularization (OR: 45.54, 95% CI 12.03-172.38, p < 0.0001), whereas CT-FFR > 0.80 was an independent predictor of non-obstructive CAD (OR: 14.67, 95% CI 5.42-39.72, p < 0.0001). Reserving ICA and revascularization for vessels with positive CT-FFR could have reduced the rate of ICA by 29.6%, lowered the rate of ICA in vessels without stenosis > 50% by 11.7%, and increased the rate of revascularization in patients receiving ICA by 21.2%. The average follow-up was 23.7 months, and major adverse cardiovascular events (MACE) occurred in 11 patients. The rate of MACE was significantly lower in patients with CT-FFR > 0.80. The new algorithm of CT-FFR can be used to predict the invasive FFR. The RuiXin-FFR can also provide useful information for the screening of patients in whom further ICA is indeed needed and prognosis evaluation.

摘要

血流储备分数(FFR)已被确立为功能性冠状动脉缺血的金标准。目前,FFR可通过冠状动脉计算机断层扫描血管造影(CCTA)图像(CT-FFR)来计算。先前的研究表明,在确定狭窄的血流动力学意义方面,CT-FFR优于CCTA和有创冠状动脉造影(ICA)。最近,一种名为瑞心FFR的新型CT-FFR自动算法已被开发出来。本研究旨在探讨该算法的预测价值及其在治疗决策中的价值。本研究回顾性纳入了166例在北京大学人民医院接受CCTA筛查和诊断性ICA检查的稳定型冠状动脉疾病(CAD)患者,其中73例还测量了导丝衍生的FFR。使用专用软件进行CT-FFR分析。所有患者均随访至少1年。我们以有创FFR作为参考标准验证了瑞心FFR的准确性,并研究了瑞心FFR在预测治疗策略和长期预后中的作用。患者的平均年龄为63.3岁,男性占63.9%。CT-FFR与导丝衍生的FFR呈中度相关(r = 0.542,p < 0.0001),预测心肌缺血的诊断准确性为87.6%(AUC:0.839,95%CI 0.728 - 0.950),显著高于CCTA和ICA。在多因素逻辑回归分析中,CT-FFR≤0.80是接受冠状动脉血运重建的独立预测因素(OR:45.54,95%CI 12.03 - 172.38,p < 0.0001),而CT-FFR > 0.80是无阻塞性CAD的独立预测因素(OR:14.67,95%CI 5.42 - 39.72,p < 0.0001)。对CT-FFR阳性的血管保留ICA和血运重建可使ICA率降低29.6%,使狭窄<50%的血管的ICA率降低11.7%,并使接受ICA的患者的血运重建率提高21.2%。平均随访23.7个月,11例患者发生主要不良心血管事件(MACE)。CT-FFR > 0.80的患者的MACE发生率显著较低。CT-FFR新算法可用于预测有创FFR。瑞心FFR还可为确实需要进一步进行ICA的患者筛查和预后评估提供有用信息。

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