Caiazzo Alfonso, Montecinos Gino, Müller Lucas O, Haacke E Mark, Toro Eleuterio F
WIAS Berlin, Mohrenstrasse 39, Berlin, Germany.
J Math Biol. 2015 Mar;70(4):745-72. doi: 10.1007/s00285-014-0778-7. Epub 2014 Mar 27.
An association of stenotic internal jugular veins (IJVs) to anomalous cerebral venous hemodynamics and Multiple Sclerosis has been recently hypothesized. In this work, we set up a computational framework to assess the relevance of IJV stenoses through numerical simulation, combining medical imaging, patient-specific data and a mathematical model for venous occlusions. Coupling a three-dimensional description of blood flow in IJVs with a reduced one-dimensional model for major intracranial veins, we are able to model different anatomical configurations, an aspect of importance to understand the impact of IJV stenosis in intracranial venous haemodynamics. We investigate several stenotic configurations in a physiologic patient-specific regime, quantifying the effect of the stenosis in terms of venous pressure increase and wall shear stress patterns. Simulation results are in qualitative agreement with reported pressure anomalies in pathological cases. Moreover, they demonstrate the potential of the proposed multiscale framework for individual-based studies and computer-aided diagnosis.
最近有人提出，狭窄的颈内静脉（IJV）与异常的脑静脉血流动力学和多发性硬化症之间存在关联。在这项工作中，我们建立了一个计算框架，通过数值模拟来评估IJV狭窄的相关性，将医学成像、患者特定数据和静脉闭塞的数学模型相结合。通过将IJV中的血流三维描述与主要颅内静脉的简化一维模型相结合，我们能够对不同的解剖结构进行建模，这对于理解IJV狭窄对颅内静脉血流动力学的影响至关重要。我们在生理患者特定的情况下研究了几种狭窄构型，从静脉压力增加和壁面剪应力模式方面量化了狭窄的影响。模拟结果与病理病例中报道的压力异常在定性上一致。此外，它们还证明了所提出的多尺度框架在基于个体的研究和计算机辅助诊断方面的潜力。
