Tricarico Rosamaria, Berceli Scott A, Tran-Son-Tay Roger, He Yong
Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States.
Division of Vascular Surgery and Endovascular Therapy, Department of Surgery, University of Florida, Gainesville, FL, United States.
Front Bioeng Biotechnol. 2023 Feb 28;11:1127855. doi: 10.3389/fbioe.2023.1127855. eCollection 2023.
Image-based computational hemodynamic modeling and simulations are important for personalized diagnosis and treatment of cardiovascular diseases. However, the required patient-specific boundary conditions are often not available and need to be estimated. We propose a pipeline for estimating the parameters of the popular three-element Windkessel (WK3) models (a proximal resistor in series with a parallel combination of a distal resistor and a capacitor) of the aortic arch arteries in patients receiving thoracic endovascular aortic repair of aneurysms. Pre-operative and post-operative 1-week duplex ultrasound scans were performed to obtain blood flow rates, and intra-operative pressure measurements were also performed invasively using a pressure transducer pre- and post-stent graft deployment in arch arteries. The patient-specific WK3 model parameters were derived from the flow rate and pressure waveforms using an optimization algorithm reducing the error between simulated and measured pressure data. The resistors were normalized by total resistance, and the capacitor was normalized by total resistance and heart rate. The normalized WK3 parameters can be combined with readily available vessel diameter, brachial blood pressure, and heart rate data to estimate WK3 parameters of other patients non-invasively. Ten patients were studied. The medians (interquartile range) of the normalized proximal resistor, distal resistor, and capacitor parameters are 0.10 (0.07-0.15), 0.90 (0.84-0.93), and 0.46 (0.33-0.58), respectively, for common carotid artery; 0.03 (0.02-0.04), 0.97 (0.96-0.98), and 1.91 (1.63-2.26) for subclavian artery; 0.18 (0.08-0.41), 0.82 (0.59-0.92), and 0.47 (0.32-0.85) for vertebral artery. The estimated pressure showed fairly high tolerance to patient-specific inlet flow rate waveforms using the WK3 parameters estimated from the medians of the normalized parameters. When patient-specific outflow boundary conditions are not available, our proposed pipeline can be used to estimate the WK3 parameters of arch arteries.
基于图像的计算血流动力学建模与模拟对于心血管疾病的个性化诊断和治疗至关重要。然而,所需的患者特异性边界条件往往难以获取,需要进行估计。我们提出了一种流程,用于估计接受胸主动脉瘤腔内修复术患者的主动脉弓动脉常用三元件风箱模型(WK3)(一个近端电阻与一个远端电阻和一个电容的并联组合串联)的参数。术前和术后1周进行双功超声扫描以获取血流速率,术中还使用压力传感器在主动脉弓动脉内支架植入术前和术后进行有创压力测量。通过一种优化算法,利用流速和压力波形得出患者特异性的WK3模型参数,该算法可减少模拟压力数据与实测压力数据之间的误差。电阻通过总电阻进行归一化,电容通过总电阻和心率进行归一化。归一化的WK3参数可与易于获取的血管直径、肱动脉血压和心率数据相结合,以无创方式估计其他患者的WK3参数。对10名患者进行了研究。对于颈总动脉,归一化近端电阻、远端电阻和电容参数的中位数(四分位间距)分别为0.10(0.07 - 0.15)、0.90(0.84 - 0.93)和0.46(0.33 - 0.58);对于锁骨下动脉,分别为0.03(0.02 - 0.04)、0.97(0.96 - 0.98)和1.91(1.63 - 2.26);对于椎动脉,分别为0.18(0.08 - 0.41)、0.82(0.59 - 0.92)和0.47(0.32 - 0.85)。使用从归一化参数中位数估计的WK3参数,估计压力对患者特异性的入口流速波形显示出相当高的耐受性。当患者特异性的流出边界条件不可用时,我们提出的流程可用于估计主动脉弓动脉的WK3参数。