Qualitative meta-synthesis comparing non-Newtonian, non-Kolmogorov, and modified Krieger computational fluid dynamics models exploring the intracranial aneurysm dynamics: state of the art

IF 0.5 Q4 CLINICAL NEUROLOGY
Yao Christian Hugues Dokponou, Abdessamad El Ouahabi, Mahjouba Boutarbouch
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Abstract

Background

Computational fluid dynamics (CFD) models are crucial for examining blood flow and the morphology of brain aneurysms. These models are used to enhance the understanding of the formation, rupture, and post-treatment behavior of aneurysms. The three principal models are non-Newtonian, non-Kolmogorov, and modified Krieger. However, the extent to which these models differ in their ability to predict changes in blood flow within aneurysms remains unclear. This study aimed to compare these models to identify their differences and similarities and to determine which model is most effective for intracranial aneurysm geometry appraisal.

Methods

We conducted a qualitative systematic review according to the ENTREQ guidelines. Our search encompassed the MEDLINE/PubMed and American Mathematical Society/MathSciNet databases, from their inception until January 2025. We utilized terms such as “intracranial aneurysm” and “cerebral aneurysm,” along with keywords like non-Newtonian, non-Kolmogorov, modified Krieger CFD models, and IA dynamics.

Results

Seventy-four articles were included in this study.

Conclusion

CFD simulation accuracy depends on blood vessel mapping, boundary conditions, and fluid model assumptions. Non-Newtonian models, which consider blood shear-thinning behavior, provide better flow depictions compared to Newtonian models. Advanced models, such as non-Kolmogorov and modified Krieger, enhance understanding by capturing turbulence and predicting wall shear stress. Despite these advances, debate continues regarding optimal aneurysm blood flow modeling. The field requires standardized protocols, validation procedures, and uncertainty quantification methods for effective treatment planning.
定性综合比较非牛顿、非kolmogorov和改进的Krieger计算流体动力学模型,探索颅内动脉瘤动力学:最新进展
计算流体动力学(CFD)模型对于检查脑动脉瘤的血流和形态至关重要。这些模型用于增强对动脉瘤形成、破裂和治疗后行为的理解。三个主要模型是非牛顿模型、非柯尔莫哥洛夫模型和改进的克里格模型。然而,这些模型在预测动脉瘤内血流变化的能力上的差异程度仍不清楚。本研究旨在比较这些模型,以确定它们的异同,并确定哪种模型对颅内动脉瘤几何评估最有效。方法根据ENTREQ指南进行定性系统评价。我们的搜索包括MEDLINE/PubMed和美国数学学会/MathSciNet数据库,从它们成立到2025年1月。我们使用了“颅内动脉瘤”和“脑动脉瘤”等术语,以及非牛顿、非kolmogorov、修正Krieger CFD模型和IA动力学等关键词。结果共纳入74篇文献。结论cfd模拟的准确性取决于血管映射、边界条件和流体模型假设。与牛顿模型相比,考虑血液剪切变薄行为的非牛顿模型提供了更好的血流描述。先进的模型,如非kolmogorov模型和改进的Krieger模型,通过捕捉湍流和预测壁面剪切应力来增强理解。尽管取得了这些进展,但关于最佳动脉瘤血流模型的争论仍在继续。该领域需要标准化的方案、验证程序和不确定度量化方法来进行有效的治疗计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
236
审稿时长
15 weeks
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