Hu Mengqiang, Chen Bing, Luo Yuanming
State Key Laboratory of Transvascular Implantation Devices, Hangzhou, China.
Department of Technology, Boea Wisdom (Hangzhou) Network Technology Co., Ltd., Hangzhou, China.
Front Bioeng Biotechnol. 2025 Mar 21;13:1556091. doi: 10.3389/fbioe.2025.1556091. eCollection 2025.
Hemodynamic analysis based on computational fluid dynamics (CFD) modelling is expected to improve risk stratification for patients with aortic aneurysms and dissections. However, the parameter settings in CFD simulations involve considerable variability and uncertainty. Additionally, the exact relationship between hemodynamic features and disease progression remains unclear. These challenges limit the clinical application of aortic hemodynamic models. This review presents a detailed overview of the workflow for CFD-based aortic hemodynamic analysis, with a focus on recent advancements in the field. We also conducted a systematic review of 27 studies with large sample sizes (n > 5) that examine the hemodynamic characteristics of aortic aneurysms and dissections. Some studies identified consistent relationships between hemodynamic features and disease progression, reinforcing the potential for clinical application of aortic hemodynamic models. However, limitations such as small sample sizes and oversimplified patient-specific models remain. These findings emphasize the need for larger, more detailed studies to refine CFD modelling strategies, strengthen the connection between hemodynamics and diseases, and ultimately facilitate the clinical use of aortic hemodynamic models in disease management.
基于计算流体动力学（CFD）建模的血流动力学分析有望改善主动脉瘤和主动脉夹层患者的风险分层。然而，CFD模拟中的参数设置存在相当大的可变性和不确定性。此外，血流动力学特征与疾病进展之间的确切关系仍不清楚。这些挑战限制了主动脉血流动力学模型的临床应用。本综述详细概述了基于CFD的主动脉血流动力学分析工作流程，重点关注该领域的最新进展。我们还对27项样本量较大（n>5）的研究进行了系统综述，这些研究考察了主动脉瘤和主动脉夹层的血流动力学特征。一些研究确定了血流动力学特征与疾病进展之间的一致关系，增强了主动脉血流动力学模型临床应用的潜力。然而，样本量小和患者特异性模型过于简化等局限性仍然存在。这些发现强调需要开展更大规模、更详细的研究，以完善CFD建模策略，加强血流动力学与疾病之间的联系，并最终促进主动脉血流动力学模型在疾病管理中的临床应用。
