Shi Zhengjia, Sang Jianbing, Sun Lifang, Li Fengtao, Tao Yaping, Yang Peng
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, P. R. China.
Hospital of Hebei University of Technology, Hebei University of Technology, Tianjin 300401, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Oct 25;41(5):1026-1034. doi: 10.7507/1001-5515.202310038.
The hemodynamic parameters in arteries are difficult to measure non-invasively, and the analysis and prediction of hemodynamic parameters based on computational fluid dynamics (CFD) has become one of the important research hotspots in biomechanics. This article establishes 15 idealized left coronary artery bifurcation models with concomitant stenosis and aneurysm lesions, and uses CFD method to numerically simulate them, exploring the effects of left anterior descending branch (LAD) stenosis rate and curvature radius on the hemodynamics inside the aneurysm. This study compared models with different stenosis rates and curvature radii and found that as the stenosis rate increased, the oscillatory shear index (OSI) and relative residence time (RRT) showed a trend of increase; In addition, the decrease in curvature radius led to an increase in the degree of vascular curvature and an increased risk of vascular aneurysm rupture. Among them, when the stenosis rate was less than 60%, the impact of stenosis rate on aneurysm rupture was greater, and when the stenosis rate was greater than 60%, the impact of curvature radius was more significant. Based on the research results of this article, it can be concluded that by comprehensively considering the effects of stenosis rate and curvature radius on hemodynamic parameters, the risk of aneurysm rupture can be analyzed and predicted. This article uses CFD methods to deeply explore the effects of stenosis rate and curvature radius on the hemodynamics of aneurysms, providing new theoretical basis and prediction methods for the assessment of aneurysm rupture risk, which has important academic value and practical guidance significance.
动脉中的血流动力学参数难以进行无创测量，基于计算流体动力学（CFD）对血流动力学参数进行分析和预测已成为生物力学领域的重要研究热点之一。本文建立了15个伴有狭窄和动脉瘤病变的理想化左冠状动脉分叉模型，并采用CFD方法对其进行数值模拟，探讨左前降支（LAD）狭窄率和曲率半径对动脉瘤内部血流动力学的影响。本研究比较了不同狭窄率和曲率半径的模型，发现随着狭窄率增加，振荡剪切指数（OSI）和相对停留时间（RRT）呈上升趋势；此外，曲率半径减小导致血管弯曲程度增加，血管动脉瘤破裂风险增大。其中，当狭窄率小于60%时，狭窄率对动脉瘤破裂的影响更大，当狭窄率大于60%时，曲率半径的影响更为显著。基于本文的研究结果可以得出，通过综合考虑狭窄率和曲率半径对血流动力学参数的影响，可以分析和预测动脉瘤破裂风险。本文采用CFD方法深入探讨了狭窄率和曲率半径对动脉瘤血流动力学的影响，为评估动脉瘤破裂风险提供了新的理论依据和预测方法，具有重要的学术价值和实际指导意义。
