Stenosis of the cerebral aqueduct (CA) is featured in many studies relating to elevated intracranial cerebral pressures. It also presents a challenging situation to clinicians. Compressive forces play a lead role in pathological situations such as the presence of tumors and hence can cause obstruction to the flow of cerebrospinal fluid (CSF). Because of this barrier, excessive retention of CSF in the ventricles can occur. This, in turn, can contribute to increased pressure gradients inside the cranium. Most of the numerical models in the literature are restricted to modeling the CSF flow by considering the ventricle walls as rigid material, although in reality they are deformable. This paper, therefore, addresses the same from a holistic perspective by taking into consideration the dynamics of the flexible characteristics of the ventricular wall. It adds novelty to this field by reconstructing anatomically realistic ventricular wall behavior. To do this, the authors aim to develop a computational model of stenosis of the CA due to a brain tumor by invoking a fluid–structure interaction (FSI) method. The proposed three-dimensional FSI model is simulated under two cases: first, simulation of the pre-stenosis case with no interaction of tumor forces and, secondly, a stenosis condition with dynamic interaction of tumor forces. Comparison of the forces with and without a tumor reveals a marked obstruction of CSF outflow after the third ventricle and CA. In addition, a drastic rise in CSF velocity from 21.2 mm/s in the pre-stenosis case to 54.1 mm/s in the stenosis case is observed, along with a net increase in deformation of 0.144 mm on the walls of the ventricle. This paper makes a significant contribution to brain simulation studies for pressure calculations, in which the presence of tumors is a major concern.

许多与颅内脑压升高有关的研究都以脑导水管 (CA) 狭窄为特征。这也给临床医生带来了挑战。压缩力在诸如肿瘤存在等病理情况中起主导作用，因此会导致脑脊液 (CSF) 流动受阻。由于这个屏障，脑室中可能会出现过度的脑脊液滞留。这反过来又会导致颅内压力梯度的增加。文献中的大多数数值模型仅限于通过将心室壁视为刚性材料来模拟 CSF 流动，尽管实际上它们是可变形的。因此，本文通过考虑心室壁柔性特性的动力学，从整体角度解决了这一问题。它通过重建解剖学上逼真的心室壁行为为该领域增添了新颖性。为此，作者旨在通过调用流体-结构相互作用 (FSI) 方法来开发由脑肿瘤引起的 CA 狭窄的计算模型。所提出的三维 FSI 模型在两种情况下进行模拟：首先，模拟没有肿瘤力相互作用的狭窄前病例，其次，模拟具有肿瘤力动态相互作用的狭窄情况。比较有和没有肿瘤的力量揭示了第三脑室和 CA 后脑脊液流出的明显阻塞。此外，观察到脑脊液速度从狭窄前病例的 21.2 mm/s 急剧上升到狭窄病例的 54.1 mm/s，同时脑室壁变形净增加 0.144 mm。