Goetz Aurèle, Jeken-Rico Pablo, Pelissier Ugo, Chau Yves, Sédat Jacques, Hachem Elie
Computing and Fluids Research Group, CEMEF, Mines Paris PSL, Sophia Antipolis, France.
Department of Neuro-Interventional and Vascular Interventional, University Hospital of Nice, Nice, France.
Front Bioeng Biotechnol. 2024 Jun 24;12:1433811. doi: 10.3389/fbioe.2024.1433811. eCollection 2024.
Advances in computational fluid dynamics continuously extend the comprehension of aneurysm growth and rupture, intending to assist physicians in devising effective treatment strategies. While most studies have first modelled intracranial aneurysm walls as fully rigid with a focus on understanding blood flow characteristics, some researchers further introduced Fluid-Structure Interaction (FSI) and reported notable haemodynamic alterations for a few aneurysm cases when considering wall compliance. In this work, we explore further this research direction by studying 101 intracranial sidewall aneurysms, emphasizing the differences between rigid and deformable-wall simulations. The proposed dataset along with simulation parameters are shared for the sake of reproducibility. A wide range of haemodynamic patterns has been statistically analyzed with a particular focus on the impact of the wall modelling choice. Notable deviations in flow characteristics and commonly employed risk indicators are reported, particularly with near-dome blood recirculations being significantly impacted by the pulsating dynamics of the walls. This leads to substantial fluctuations in the sac-averaged oscillatory shear index, ranging from -36% to +674% of the standard rigid-wall value. Going a step further, haemodynamics obtained when simulating a flow-diverter stent modelled in conjunction with FSI are showcased for the first time, revealing a 73% increase in systolic sac-average velocity for the compliant-wall setting compared to its rigid counterpart. This last finding demonstrates the decisive impact that FSI modelling can have in predicting treatment outcomes.
计算流体动力学的进展不断拓展对动脉瘤生长和破裂的理解,旨在帮助医生制定有效的治疗策略。虽然大多数研究首先将颅内动脉瘤壁建模为完全刚性,重点是了解血流特性,但一些研究人员进一步引入了流固耦合(FSI),并报告了在考虑壁顺应性时少数动脉瘤病例中显著的血流动力学改变。在这项工作中,我们通过研究101个颅内侧壁动脉瘤进一步探索这一研究方向,强调刚性和可变形壁模拟之间的差异。为了可重复性,共享了所提出的数据集以及模拟参数。对广泛的血流动力学模式进行了统计分析,特别关注壁建模选择的影响。报告了血流特性和常用风险指标的显著偏差,特别是近穹顶血液再循环受到壁脉动动力学的显著影响。这导致囊平均振荡剪切指数大幅波动,范围从标准刚性壁值的-36%到+674%。更进一步,首次展示了在结合FSI模拟分流支架时获得的血流动力学,结果显示与刚性壁设置相比,顺应性壁设置下的收缩期囊平均速度增加了73%。这一最新发现证明了FSI建模在预测治疗结果方面可能具有的决定性影响。