Chung Bongjae, Cebral Juan Raul
Center for Computational Fluid Dynamics, College of Sciences, George Mason University, Planetary Hall, Room 101B, 4400 University Drive, MSN 3F3, Fairfax, VA, 22030, USA,
Ann Biomed Eng. 2015 Jan;43(1):122-38. doi: 10.1007/s10439-014-1093-6. Epub 2014 Sep 4.
Computational fluid dynamics (CFD) has been used for several years to identify mechanical risk factors associated with aneurysmal evolution and rupture as well as to understand flow characteristics before and after surgical treatments in order to help the clinical decision making process. We used the keywords, "CFD" and "aneurysms" to search recent publications since about 2000, and categorized them into (i) studies of rupture risk factors and (ii) investigations of pre- and post-evaluations of surgical treatment with devices like coils and flow diverters (FD). This search enables us to examine the current status of CFD as a clinical tool and to determine if CFD can potentially become an important part of the routine clinical practice for the evaluation and treatment of aneurysms in near future. According to previous reports, it has been argued that CFD has become a quite robust non-invasive tool for the evaluation of surgical devices, especially in the early stages of device design and it has also been applied successfully to the study of rupture risk assessment. However, we find that due to the large number of pre-processing inputs further efforts of validation and reproducibility of CFD with larger clinical datasets are still essential to identify standardized mechanical risk factors. As a result, we identify the following needs to have a robust CFD tool for clinical use: (i) more reliability tests through validation studies, (ii) analyses of larger generalized clinical datasets to find converging universal risk parameters, (iii) fluid structure interaction (FSI) analyses to better understand the detailed vascular remodeling processes associated with aneurysm growth, evolution and rupture, and (iv) better coordinated and organized communications and collaborations between engineers and clinicians.
计算流体动力学(CFD)已应用多年,用于识别与动脉瘤演变和破裂相关的机械风险因素,以及了解手术治疗前后的血流特征,以辅助临床决策过程。我们使用关键词“CFD”和“动脉瘤”检索了自2000年左右以来的近期出版物,并将它们分为两类:(i)破裂风险因素研究;(ii)使用线圈和血流导向装置(FD)等器械对手术治疗进行术前和术后评估的研究。此次检索使我们能够审视CFD作为一种临床工具的现状,并确定CFD在不久的将来是否有可能成为动脉瘤评估和治疗常规临床实践的重要组成部分。根据先前的报告,有人认为CFD已成为评估手术器械的一种相当可靠的非侵入性工具,尤其是在器械设计的早期阶段,并且它也已成功应用于破裂风险评估研究。然而,我们发现,由于大量的预处理输入,使用更大的临床数据集对CFD进行进一步的验证和再现性研究,对于识别标准化的机械风险因素仍然至关重要。因此,我们确定了拥有一个可靠的用于临床的CFD工具的以下需求:(i)通过验证研究进行更多可靠性测试;(ii)分析更大的广义临床数据集以找到趋同的通用风险参数;(iii)进行流固耦合(FSI)分析,以更好地理解与动脉瘤生长、演变和破裂相关的详细血管重塑过程;(iv)工程师和临床医生之间进行更好的协调和组织的沟通与合作。