Foshan University, #18 Jiangwan 1st Road Foshan, Guangdong 528000, China.
Foshan University, #18 Jiangwan 1st Road Foshan, Guangdong 528000, China; Guangdong Academy Research on VR Industry, Foshan University, #18 Jiangwan 1st Road Foshan, Guangdong 528000, China.
Comput Methods Programs Biomed. 2022 Dec;227:107203. doi: 10.1016/j.cmpb.2022.107203. Epub 2022 Oct 28.
Transverse sinus stenosis (TSS) is commonly found in Pulsatile Tinnitus (PT) patients. Vortex flow is prominent in venous sinus with stenosis, and so it is important to determine the distribution and strength of the vortical flow to understand its influence on the occurrence of PT.
In this study, by using computational fluid dynamics for hemodynamic analysis in patient-specific geometries based on Magnetic Resonance Imaging (MRI), we have investigated the blood flow within the venous sinus of 16 subjects with PT. We have employed both laminar and turbulent flow models for simulations, to obtain (i) streamlines of velocity distribution in the venous sinus, and (ii) pressure distributions of flow patterns in the venous sinus. Then, hemodynamic analysis in the venous sinus recirculation zone was carried out, to determine the flow patterns at the junction of transverse sinuses and sigmoid sinuses. Finally, we have proposed a new model for turbulence evaluation based on the regression analysis of anatomic and hemodynamics parameters.
Correlation analysis between the anatomical parameters and the hemodynamic parameters has shown that stenosis at the transverse sinus was the main factor in the local hemodynamics variation in the venous sinus of patients; in this context, it is shown that vorticity can be used as a prime indicator of the severity of the stenosis function. Our results have shown a significant correlation between the vorticity and the stenotic maximum velocity (SMV) (r = 0.282, p = 0.004). Then, a parameterized prediction model is proposed to determine the vorticity in terms of flow and anatomic variables, termed as the turbulence eddy prediction model (TEP model). Our result have shown that the TEP model is sensitive to the dominant flow distribution, with a high correlation to the flow-based vorticity (r = 0.809, p = 0.009).
The quantification of the vorticity (as both vorticity and MVV) in the downstream of TSS could be a marker for indication of turbulent energy at the transverse-sigmoid sinus, which could potentially serve as a hemodynamic marker for the functional assessment of the PT-related TSS.
横窦狭窄(TSS)在搏动性耳鸣(PT)患者中很常见。涡流在狭窄的静脉窦中很明显,因此确定涡流的分布和强度很重要,以便了解其对 PT 发生的影响。
在这项研究中,我们通过使用基于磁共振成像(MRI)的患者特定几何形状的计算流体动力学进行血流动力学分析,研究了 16 例 PT 患者的静脉窦内血流。我们既采用了层流模型也采用了紊流模型进行模拟,以获得(i)静脉窦内速度分布的流线,和(ii)静脉窦内流动模式的压力分布。然后,对静脉窦再循环区进行血流动力学分析,以确定横窦和乙状窦交界处的流动模式。最后,我们根据解剖学和血流动力学参数的回归分析提出了一种新的紊流评估模型。
解剖学参数和血流动力学参数之间的相关分析表明,横窦狭窄是导致患者静脉窦局部血流变化的主要因素;在这种情况下,表明涡度可以作为狭窄功能严重程度的主要指标。我们的结果表明,涡度与狭窄最大速度(SMV)之间存在显著相关性(r=0.282,p=0.004)。然后,提出了一个参数化的预测模型,根据流量和解剖变量来确定涡度,称为紊流涡预测模型(TEP 模型)。我们的结果表明,TEP 模型对主导流分布敏感,与基于流的涡度高度相关(r=0.809,p=0.009)。
TSS 下游的涡度(包括涡度和 MVV)的量化可以作为横窦乙状窦处湍流能量的标志物,这可能成为 TSS 相关 PT 功能评估的血流动力学标志物。