特发性颅内高压中硬脑膜静脉窦压力的无创、患者特异性计算流体动力学模拟

Q3 Engineering
Patrick Fillingham , Swati Rane Levendovszky , Jalal Andre , Michael Bindschadler , Seth Friedman , Mehmet Kurt , Alberto Aliseda , Michael R. Levitt
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引用次数: 0

摘要

背景:特发性颅内高压(Idiopathic Intracranial Hypertension, IIH)的病理生理机制尚不清楚,难以正确诊断和治疗。对于静脉窦狭窄和静脉窦压力梯度升高的IIH患者,血管内静脉支架置入术已成为一种有效的无创治疗选择。不幸的是,目前确定患者支架治疗资格的方法依赖于高度侵入性和不充分的测量方法,如静脉测压法,它只能测量压力梯度,而不能测量复杂的3D血流动力学环境的其他组成部分。因此,需要一种非侵入性的方法来确定硬脑膜静脉窦的三维流动环境。目的建立一种无创、患者特异性的计算流体动力学(CFD)模拟静脉窦血流动力学的新方法,用于评估支架置入的适宜性。方法1例IIH合并窦压梯度升高的患者行MR静脉造影、MR相位对比造影及静脉测压术。患者特定的硬脑膜静脉解剖从MR静脉造影中分割,构建静脉窦的3D模型。三维瞬态患者特异性计算流体动力学模拟使用相衬磁共振静脉成像测量的流速作为边界条件。结果成功地完成了计算模拟,计算了硬脑膜静脉窦血流的时空演变,并定量检测了压力梯度。根据CFD计算的压力梯度与静脉测压法进行验证,误差仅为~ 5%。我们首次成功地开发了时间分辨的、患者特异性的硬脑膜静脉窦三维计算模拟,而不需要假设边界条件。该方法可以准确、无创地测量静脉压力梯度。这项初步研究证明了我们的方法可以作为确定静脉支架置入资格的诊断工具,以及促进对IIH病理生理学的一般理解的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noninvasive, patient-specific computational fluid dynamics simulations of dural venous sinus pressures in idiopathic intracranial hypertension

Background

The pathophysiology of Idiopathic Intracranial Hypertension (IIH) is poorly understood, making the disease difficult to properly diagnose and treat. Endovascular venous stenting has emerged as an effective non-invasive treatment option for a select cohort of IIH patients with venous sinus stenosis and elevated venous sinus pressure gradient. Unfortunately, current methods of determining patient eligibility for stenting treatment depend on highly invasive and insufficient measurement methods such as venous manometry, which can only measure pressure gradients and not other components of the complex 3D hemodynamic environment. Thus, there is a need for a non-invasive methodology for determining the 3D flow environment of the dural venous sinuses.

Objective

To develop a novel method of non-invasive, patient-specific computational fluid dynamic (CFD) simulation of venous sinus hemodynamics for evaluating stenting eligibility.

Method

A patient with IIH and elevated sinus pressure gradient underwent MR venography, phase-contrast MR venography, and venous manometry. Patient-specific dural venous anatomy was segmented from the MR venography to construct 3D models of the venous sinuses. 3D transient patient-specific computational fluid dynamic simulations were conducted using flow velocities measured with phase-contrast MR venography as boundary conditions.

Results

Successful computational simulations were completed, allowing for the calculation of the spatio-temporal evolution of blood flow through the dural venous sinuses, and the quantitative examination of pressure gradients. Calculated pressure gradients from CFD were validated against venous manometry with an error of only ∼5%.

Conclusions

We have successfully developed time-resolved, patient-specific 3D computational simulations of the dural venous sinuses without assumptions at the boundary conditions for the first time. The methodology can accurately and non-invasively measure venous pressure gradients. This preliminary study serves as a proof of concept for our method to be used as a diagnostic tool for determining venous stenting eligibility, as well as a tool for advancing the general understanding of IIH pathophysiology.

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来源期刊
Brain multiphysics
Brain multiphysics Physics and Astronomy (General), Modelling and Simulation, Neuroscience (General), Biomedical Engineering
CiteScore
4.80
自引率
0.00%
发文量
0
审稿时长
68 days
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