基于计算模型的自体放射性脑瘘管传统模型和改良理想化模型的血液动力学比较。

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Fan Wang, Baohui Wang, Jinfeng Guo, Tian Zhang, Weina Mu, Chunhui Liu
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引用次数: 0

摘要

自体动静脉瘘(AVF)是血液透析常用的血管通路(VA),血液动力学变化是其失败的主要因素之一。为了探索几何形状对动静脉内瘘血流动力学的影响,我们建立了一个在吻合口处逐渐平滑转弯的改进模型,并与在吻合口处突然急转弯的传统模型进行了比较。为了比较和分析两种模型在脉冲周期不同阶段的血流动力学场,进行了瞬态计算流体动力学(CFD)模拟。结果表明,改良型 AVF 模型的低剪切应力区域和高振荡剪切应力区域与之前研究发现的内膜增生区域相吻合。通过与体内测量的血流速度进行比较,模拟结果与医学数据之间的误差在修改后的模型中减少了 22%,这验证了修改后模型的合理性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational model-based hemodynamic comparisons of traditional and modified idealized models of autologous radiocephalic fistula

Autologous arteriovenous fistula (AVF) is a commonly used vascular access (VA) for hemodialysis, and hemodynamic changes are one of the main factors for its failure. To explore the effect of geometry on the hemodynamics in the AVF, a modified model is built with a gradual and smooth turn at the anastomosis and is compared with the traditional model, which has an abrupt sharp turn at the anastomisis. Transient computational fluid dynamics (CFD) simulations were performed for the comparison and analysis of the hemodynamic fields of the two models at different stages of the pulse cycle. The results showed that the low shear stress region and high oscillatory shear stress region in the modified AVF model coincided with regions of intimal hyperplasia that have been identified by previous studies. A comparison with the blood flow velocities measured in vivo was performed, and the error between the simulation results and the medical data was reduced by 22% in the modified model, which verifies the rationality and utility of the modified model.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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