Department of Biomedical Engineering, Duke University, Durham, NC, 27705, USA.
Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
Sci Rep. 2021 Apr 14;11(1):8145. doi: 10.1038/s41598-021-86360-6.
Conventional invasive diagnostic imaging techniques do not adequately resolve complex Type B and C coronary lesions, which present unique challenges, require personalized treatment and result in worsened patient outcomes. These lesions are often excluded from large-scale non-invasive clinical trials and there does not exist a validated approach to characterize hemodynamic quantities and guide percutaneous intervention for such lesions. This work identifies key biomarkers that differentiate complex Type B and C lesions from simple Type A lesions by introducing and validating a coronary angiography-based computational fluid dynamic (CFD-CA) framework for intracoronary assessment in complex lesions at ultrahigh resolution. Among 14 patients selected in this study, 7 patients with Type B and C lesions were included in the complex lesion group including ostial, bifurcation, serial lesions and lesion where flow was supplied by collateral bed. Simple lesion group included 7 patients with lesions that were discrete, [Formula: see text] long and readily accessible. Intracoronary assessment was performed using CFD-CA framework and validated by comparing to clinically measured pressure-based index, such as FFR. Local pressure, endothelial shear stress (ESS) and velocity profiles were derived for all patients. We validates the accuracy of our CFD-CA framework and report excellent agreement with invasive measurements ([Formula: see text]). Ultra-high resolution achieved by the model enable physiological assessment in complex lesions and quantify hemodynamic metrics in all vessels up to 1mm in diameter. Importantly, we demonstrate that in contrast to traditional pressure-based metrics, there is a significant difference in the intracoronary hemodynamic forces, such as ESS, in complex lesions compared to simple lesions at both resting and hyperemic physiological states [n = 14, [Formula: see text]]. Higher ESS was observed in the complex lesion group ([Formula: see text] Pa) than in simple lesion group ([Formula: see text] Pa). Complex coronary lesions have higher ESS compared to simple lesions, such differential hemodynamic evaluation can provide much the needed insight into the increase in adverse outcomes for such patients and has incremental prognostic value over traditional pressure-based indices, such as FFR.
传统的侵入性诊断成像技术不能充分解决复杂的 B 型和 C 型冠状动脉病变,这些病变具有独特的挑战,需要个性化治疗,导致患者预后恶化。这些病变通常被排除在大规模的非侵入性临床试验之外,并且目前还没有一种经过验证的方法可以对这些病变进行血流动力学参数特征描述并指导经皮介入治疗。通过引入和验证一种基于冠状动脉造影的计算流体动力学(CFD-CA)框架,我们可以以超高分辨率对复杂病变进行冠状动脉内评估,从而识别出区分复杂 B 型和 C 型病变与简单 A 型病变的关键生物标志物。在本研究中选择的 14 名患者中,7 名 B 型和 C 型病变患者被纳入复杂病变组,包括开口部、分叉部、连续病变和由侧支床供应血流的病变。简单病变组包括 7 名病变离散、[Formula: see text]长且易于接近的患者。使用 CFD-CA 框架进行冠状动脉内评估,并通过与临床测量的基于压力的指数(如 FFR)进行比较来验证。为所有患者导出局部压力、内皮剪切应力(ESS)和速度分布。我们验证了我们的 CFD-CA 框架的准确性,并报告了与侵入性测量结果([Formula: see text])的优异一致性。该模型实现的超高分辨率能够对复杂病变进行生理学评估,并能够量化所有直径达 1mm 以内血管的血流动力学指标。重要的是,我们证明与传统的基于压力的指标相比,在静息和充血生理状态下,复杂病变与简单病变相比,冠状动脉内血流动力学力(如 ESS)存在显著差异[n = 14,[Formula: see text]]。在复杂病变组中观察到更高的 ESS([Formula: see text] Pa),而在简单病变组中观察到更低的 ESS([Formula: see text] Pa)。复杂冠状动脉病变的 ESS 高于简单病变,这种差异的血流动力学评估可以为这些患者不良结局增加提供急需的深入了解,并具有比传统的基于压力的指数(如 FFR)更高的增量预后价值。