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Patient-Specific Hemodynamic Evaluation of an Aortic Coarctation under Rest and Stress Conditions

机译:在休息和压力条件下对患者主动脉缩窄的血液动力学评估

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Computational fluid dynamics (CFD) simulation of internal hemodynamics in complex vascular models can provide accurate estimates of pressure gradients to assist time-critical diagnostics or surgical decisions. Compared to high-fidelity pressure transducers, CFD offers flexibility to analyze baseline hemodynamic characteristics at rest but also under stress conditions without application of pharmacological stress agents which present undesirable side effects. In this study, the variations of pressure gradient and velocity field across a mild thoracic coarctation of aorta (CoA) is studied under pulsatile ascending aortic flow, simulative of both rest and stress cardiac output. Simulations were conducted in FLUENT 14.5 (ANSYS Inc., Canonsburg, PA, USA)-a finite volume solver, COMSOL 4.2a (COMSOL Multiphysics Inc., Burlington, MA)-a finite element solver, and an in-house finite difference cardiovascular flow solver implementing an unsteady artificial compressibility numerical method, each employing second-order spatio-temporal discretization schemes, under assumptions of incompressible, Newtonian fluid domain with rigid, impermeable walls. The cardiac cycle-average pressure drop across the CoA modeled relative to the given pressure data proximal to the CoA is reported and was found to vary significantly between rest and stress conditions. A mean pressure gradient of 2.79 mmHg was observed for the rest case as compared to 17.73 mmHg for the stress case. There was an inter-solver variability of 16.9% in reported mean pressure gradient under rest conditions and 23.71% in reported mean pressure gradient under stress conditions. In order to investigate the effects of the rigid wall assumption, additional simulations were conducted using a 3-element windkessel model implemented at the descending aorta, using FLUENT. Further, to investigate the appropriateness of the invis-cid flow assumption in a mild CoA, CFD pressure gradients were also compared results of a simple Bernoulli-based formula, used clinically, using just the peak blood flow velocity measurements (in m/s) obtained distal to the aortic coarctation from CFD. Helicity isocontours were used as a visual metric to characterize pathological hemodynamics in the CoA.
机译:复杂血管模型中内部血液动力学的计算流体动力学(CFD)模拟可以提供压力梯度的准确估计,以帮助进行时间紧迫的诊断或手术决策。与高保真压力传感器相比,CFD可以灵活地分析静止时以及在压力条件下的基线血液动力学特征,而无需应用会产生不良副作用的药理学应力剂。在这项研究中,在脉动性升主动脉血流下模拟静息和压力心输出量,研究了轻度胸主动脉缩窄(CoA)内压力梯度和速度场的变化。在FLUENT 14.5(ANSYS Inc.,Canonsburg,PA,USA)-有限体积求解器,COMSOL 4.2a(COMSOL Multiphysics Inc.,Burlington,MA)-有限元求解器和内部有限差分心血管系统中进行了仿真流动求解器在非可压缩牛顿流体域具有刚性,不可渗透壁的假设下,采用非稳态人工可压缩性数值方法,每个方法均采用二阶时空离散方案。报告了相对于CoA附近的给定压力数据所建模的CoA上的平均心动周期平均压降,发现静息状态和压力状态之间存在显着差异。其余情况下的平均压力梯度为2.79 mmHg,而压力情况下的平均压力梯度为17.73 mmHg。在休息条件下,报告的平均压力梯度的溶剂间变异性为16.9%,在应力条件下,报告的平均压力梯度的溶剂间差异为23.71%。为了研究刚性壁假设的影响,使用在FLUENT下降主动脉实施的3元素风帆模型进行了附加模拟。此外,为了研究在温和的CoA中无流量假设的适当性,还比较了CFD压力梯度和基于简单伯努利公式的结果,该公式在临床上仅使用峰值血流速度测量值(以m / s为单位)从CFD获得主动脉缩窄的远端。螺旋等高线用作表征CoA中病理性血液动力学的视觉指标。

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