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Analysis of Growing Tumor on the Flow Velocity of Cerebrospinal Fluid in Human Brain Using Computational Modeling and Fluid-Structure Interaction
arXiv - CS - Computational Engineering, Finance, and Science Pub Date : 2021-02-19 , DOI: arxiv-2102.09742
Muhammad Uzair-Ul-Haq; Ali Ahmed; Zartasha Mustansar; Arslan Shaukat; Lee Margetts; Asim Waris; Faizan Nadeem

Cerebrospinal fluid (CSF) plays a pivotal role in normal functioning of Brain. Intracranial compartments such as blood, brain and CSF are incompressible in nature. Therefore, if a volume imbalance in one of the aforenoted compartments is observed, the other reaches out to maintain net change to zero. Whereas, CSF has higher compliance over long term. However, if the CSF flow is obstructed in the ventricles, this compliance may get exhausted early. Brain tumor on the other hand poses a similar challenge towards destabilization of CSF flow by compressing any section of ventricles thereby ensuing obstruction. To avoid invasive procedures to study effects of tumor on CSF flow, numerical-based methods such as Finite element modeling (FEM) are used which provide excellent description of underlying pathological interaction. A 3D fluid-structure interaction (FSI) model is developed to study the effect of tumor growth on the flow of cerebrospinal fluid in ventricle system. The FSI model encapsulates all the physiological parameters which may be necessary in analyzing intraventricular CSF flow behavior. Findings of the model show that brain tumor affects CSF flow parameters by deforming the walls of ventricles in this case accompanied by a mean rise of 74.23% in CSF flow velocity and considerable deformation on the walls of ventricles.

中文翻译:

计算模型和流固耦合分析肿瘤在人脑中脑脊液流速的变化

脑脊液(CSF)在大脑的正常功能中起关键作用。颅内腔如血液,大脑和脑脊液本质上是不可压缩的。因此,如果在上述隔室之一中观察到体积不平衡,则另一隔室伸出以将净变化保持为零。长期来看,CSF具有更高的合规性。但是,如果脑室中CSF流动受阻,则这种顺应性可能会尽早耗尽。另一方面,脑肿瘤通过压缩心室的任何部分从而导致阻塞,对脑脊液流动的不稳定提出了类似的挑战。为了避免侵入性程序研究肿瘤对脑脊液流动的影响,使用了基于数值的方法,例如有限元建模(FEM),可以很好地描述潜在的病理相互作用。建立了3D流体-结构相互作用(FSI)模型,以研究肿瘤生长对脑室系统中脑脊液流动的影响。FSI模型封装了分析脑室内CSF流动行为可能必需的所有生理参数。该模型的发现表明,在这种情况下,脑肿瘤通过使心室壁变形来影响CSF流量参数,并伴有CSF流速平均上升74.23%和心室壁的明显变形。
更新日期:2021-02-22
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