Wei Zhenglun Alan, Trusty Phillip M, Tree Mike, Haggerty Christopher M, Tang Elaine, Fogel Mark, Yoganathan Ajit P
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 387 Technology Circle, Suite 232, Atlanta, GA 30313-2412, USA.
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
J Biomech. 2017 Jan 4;50:172-179. doi: 10.1016/j.jbiomech.2016.11.025. Epub 2016 Nov 10.
Cardiovascular simulations have great potential as a clinical tool for planning and evaluating patient-specific treatment strategies for those suffering from congenital heart diseases, specifically Fontan patients. However, several bottlenecks have delayed wider deployment of the simulations for clinical use; the main obstacle is simulation cost. Currently, time-averaged clinical flow measurements are utilized as numerical boundary conditions (BCs) in order to reduce the computational power and time needed to offer surgical planning within a clinical time frame. Nevertheless, pulsatile blood flow is observed in vivo, and its significant impact on numerical simulations has been demonstrated. Therefore, it is imperative to carry out a comprehensive study analyzing the sensitivity of using time-averaged BCs. In this study, sensitivity is evaluated based on the discrepancies between hemodynamic metrics calculated using time-averaged and pulsatile BCs; smaller discrepancies indicate less sensitivity. The current study incorporates a comparison between 3D patient-specific CFD simulations using both the time-averaged and pulsatile BCs for 101 Fontan patients. The sensitivity analysis involves two clinically important hemodynamic metrics: hepatic flow distribution (HFD) and indexed power loss (iPL). Paired demographic group comparisons revealed that HFD sensitivity is significantly different between single and bilateral superior vena cava cohorts but no other demographic discrepancies were observed for HFD or iPL. Multivariate regression analyses show that the best predictors for sensitivity involve flow pulsatilities, time-averaged flow rates, and geometric characteristics of the Fontan connection. These predictors provide patient-specific guidelines to determine the effectiveness of analyzing patient-specific surgical options with time-averaged BCs within a clinical time frame.
心血管模拟作为一种临床工具,在为先天性心脏病患者(特别是Fontan手术患者)制定和评估个性化治疗策略方面具有巨大潜力。然而,有几个瓶颈阻碍了模拟技术在临床中的更广泛应用;主要障碍是模拟成本。目前,为了在临床时间范围内减少提供手术规划所需的计算能力和时间,采用时间平均临床血流测量作为数值边界条件(BCs)。尽管如此,体内观察到的是脉动血流,并且已经证明其对数值模拟有重大影响。因此,必须开展一项综合研究,分析使用时间平均边界条件的敏感性。在本研究中,基于使用时间平均和脉动边界条件计算的血流动力学指标之间的差异来评估敏感性;差异越小表明敏感性越低。本研究纳入了对101例Fontan手术患者使用时间平均和脉动边界条件的三维个体化CFD模拟之间的比较。敏感性分析涉及两个临床上重要的血流动力学指标:肝血流分布(HFD)和指数功率损失(iPL)。配对人口统计学组比较显示,单双侧上腔静脉队列之间HFD敏感性存在显著差异,但未观察到HFD或iPL的其他人口统计学差异。多变量回归分析表明,敏感性的最佳预测因素包括血流脉动性、时间平均流速和Fontan连接的几何特征。这些预测因素提供了个体化指南,以确定在临床时间范围内使用时间平均边界条件分析个体化手术方案的有效性。