Department of Cardiology, VU University Medical Center, Amsterdam, the Netherlands.
Department of Radiology, Nuclear Medicine & PET Research, VU University Medical Center, Amsterdam, the Netherlands.
J Am Coll Cardiol. 2019 Jan 22;73(2):161-173. doi: 10.1016/j.jacc.2018.10.056.
Fractional flow reserve (FFR) computation from coronary computed tomography angiography (CTA) datasets (FFR) has emerged as a promising noninvasive test to assess hemodynamic severity of coronary artery disease (CAD), but has not yet been compared with traditional functional imaging.
The purpose of this study was to evaluate the diagnostic performance of FFR and compare it with coronary CTA, single-photon emission computed tomography (SPECT), and positron emission tomography (PET) for ischemia diagnosis.
This subanalysis involved 208 prospectively included patients with suspected stable CAD, who underwent 256-slice coronary CTA, 99mTc-tetrofosmin SPECT, [O]HO PET, and routine 3-vessel invasive FFR measurements. FFR values were retrospectively derived from the coronary CTA images. Images from each modality were interpreted by core laboratories, and their diagnostic performances were compared using invasively measured FFR ≤0.80 as the reference standard.
In total, 505 of 612 (83%) vessels could be evaluated with FFR. FFR showed a diagnostic accuracy, sensitivity, and specificity of 87%, 90%, and 86% on a per-vessel basis and 78%, 96%, and 63% on a per-patient basis, respectively. Area under the receiver-operating characteristic curve (AUC) for identification of ischemia-causing lesions was significantly greater for FFR (0.94 and 0.92) in comparison with coronary CTA (0.83 and 0.81; p < 0.01 for both) and SPECT (0.70 and 0.75; p < 0.01 for both), on a per-vessel and -patient level, respectively. FFR also outperformed PET on a per-vessel basis (AUC 0.87; p < 0.01), but not on a per-patient basis (AUC 0.91; p = 0.56). In the intention-to-diagnose analysis, PET showed the highest per-patient and -vessel AUC followed by FFR (0.86 vs. 0.83; p = 0.157; and 0.90 vs. 0.79; p = 0.005, respectively).
In this study, FFR showed higher diagnostic performance than standard coronary CTA, SPECT, and PET for vessel-specific ischemia, provided coronary CTA images were evaluable by FFR, whereas PET had a favorable performance in per-patient and intention-to-diagnose analysis. Still, in patients in whom 3-vessel FFR could be analyzed, FFR holds clinical potential to provide anatomic and hemodynamic significance of coronary lesions.
从冠状动脉计算机断层扫描血管造影(CTA)数据集计算的分流量储备(FFR)已成为一种有前途的非侵入性测试方法,用于评估冠状动脉疾病(CAD)的血流动力学严重程度,但尚未与传统的功能成像进行比较。
本研究旨在评估 FFR 的诊断性能,并将其与冠状动脉 CTA、单光子发射计算机断层扫描(SPECT)和正电子发射断层扫描(PET)进行比较,以诊断缺血。
这项亚分析涉及 208 名疑似稳定型 CAD 的前瞻性患者,他们接受了 256 层冠状动脉 CTA、99mTc-四氮茂 SPECT、[O]HO PET 和常规三血管侵入性 FFR 测量。FFR 值从冠状动脉 CTA 图像中进行回顾性推导。每个模态的图像均由核心实验室进行解释,并使用经侵入性测量的 FFR≤0.80 作为参考标准来比较其诊断性能。
总共可以对 612 个中的 505 个(83%)血管进行 FFR 评估。FFR 在血管水平上的诊断准确性、敏感性和特异性分别为 87%、90%和 86%,在患者水平上分别为 78%、96%和 63%。FFR 识别引起缺血的病变的受试者工作特征曲线(ROC)下面积(AUC)明显大于冠状动脉 CTA(血管水平:0.94 和 0.92;p<0.01 均)和 SPECT(0.70 和 0.75;p<0.01 均),分别为 0.83 和 0.81。FFR 还优于基于每个血管的 PET(AUC 0.87;p<0.01),但基于每个患者的则不然(AUC 0.91;p=0.56)。在意图诊断分析中,PET 显示出最高的患者和血管 AUC,其次是 FFR(0.86 与 0.83;p=0.157;0.90 与 0.79;p=0.005)。
在这项研究中,FFR 显示出比标准冠状动脉 CTA、SPECT 和 PET 更高的血管特异性缺血诊断性能,前提是冠状动脉 CTA 图像可通过 FFR 进行评估,而 PET 在患者和意图诊断分析中具有良好的性能。尽管如此,在可以分析三血管 FFR 的患者中,FFR 具有提供冠状动脉病变解剖和血流动力学意义的临床潜力。