Xiang J, Siddiqui A H, Meng H
Toshiba Stroke and Vascular Research Center, University at Buffalo, State University of New York, Buffalo, NY 14203, USA; Department of Mechanical and Aerospace Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA; Department of Neurosurgery, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
Toshiba Stroke and Vascular Research Center, University at Buffalo, State University of New York, Buffalo, NY 14203, USA; Department of Neurosurgery, University at Buffalo, State University of New York, Buffalo, NY 14203, USA; Department of Radiology, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
J Biomech. 2014 Dec 18;47(16):3882-90. doi: 10.1016/j.jbiomech.2014.09.034. Epub 2014 Oct 13.
Due to the lack of patient-specific inlet flow waveform measurements, most computational fluid dynamics (CFD) simulations of intracranial aneurysms usually employ waveforms that are not patient-specific as inlet boundary conditions for the computational model. The current study examined how this assumption affects the predicted hemodynamics in patient-specific aneurysm geometries. We examined wall shear stress (WSS) and oscillatory shear index (OSI), the two most widely studied hemodynamic quantities that have been shown to predict aneurysm rupture, as well as maximal WSS (MWSS), energy loss (EL) and pressure loss coefficient (PLc). Sixteen pulsatile CFD simulations were carried out on four typical saccular aneurysms using 4 different waveforms and an identical inflow rate as inlet boundary conditions. Our results demonstrated that under the same mean inflow rate, different waveforms produced almost identical WSS distributions and WSS magnitudes, similar OSI distributions but drastically different OSI magnitudes. The OSI magnitude is correlated with the pulsatility index of the waveform. Furthermore, there is a linear relationship between aneurysm-averaged OSI values calculated from one waveform and those calculated from another waveform. In addition, different waveforms produced similar MWSS, EL and PLc in each aneurysm. In conclusion, inlet waveform has minimal effects on WSS, OSI distribution, MWSS, EL and PLc and a strong effect on OSI magnitude, but aneurysm-averaged OSI from different waveforms has a strong linear correlation with each other across different aneurysms, indicating that for the same aneurysm cohort, different waveforms can consistently stratify (rank) OSI of aneurysms.
由于缺乏针对患者的入口血流波形测量,大多数颅内动脉瘤的计算流体动力学(CFD)模拟通常采用非患者特异性的波形作为计算模型的入口边界条件。本研究探讨了这一假设如何影响特定患者动脉瘤几何形状中预测的血流动力学。我们研究了壁面切应力(WSS)和振荡切变指数(OSI),这是两个研究最广泛的血流动力学参数,已被证明可预测动脉瘤破裂,还研究了最大WSS(MWSS)、能量损失(EL)和压力损失系数(PLc)。使用4种不同波形和相同的流入速率作为入口边界条件,对4个典型囊状动脉瘤进行了16次脉动CFD模拟。我们的结果表明,在相同的平均流入速率下,不同波形产生的WSS分布和WSS大小几乎相同,OSI分布相似但OSI大小差异很大。OSI大小与波形的脉动指数相关。此外,由一种波形计算得到的动脉瘤平均OSI值与由另一种波形计算得到的动脉瘤平均OSI值之间存在线性关系。此外,不同波形在每个动脉瘤中产生的MWSS、EL和PLc相似。总之,入口波形对WSS、OSI分布、MWSS、EL和PLc的影响最小,对OSI大小的影响很大,但不同波形的动脉瘤平均OSI在不同动脉瘤之间具有很强的线性相关性,这表明对于同一组动脉瘤,不同波形可以一致地对动脉瘤的OSI进行分层(排序)。