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关于瓣叶微观结构和本构模型对二尖瓣关闭行为的影响。

On the effects of leaflet microstructure and constitutive model on the closing behavior of the mitral valve.

作者信息

Lee Chung-Hao, Rabbah Jean-Pierre, Yoganathan Ajit P, Gorman Robert C, Gorman Joseph H, Sacks Michael S

机构信息

Center for Cardiovascular Simulation, Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, 201 East 24th Street, 1 University Station C0200, POB 5.236, Austin, TX, 78712, USA.

Cardiovascular Fluid Mechanics Laboratory, Department of Biomedical Engineering, Georgia Institute of Technology, 387 Technology Circle NW, Atlanta, GA, 30318, USA.

出版信息

Biomech Model Mechanobiol. 2015 Nov;14(6):1281-302. doi: 10.1007/s10237-015-0674-0. Epub 2015 May 7.

Abstract

Recent long-term studies showed an unsatisfactory recurrence rate of severe mitral regurgitation 3-5 years after surgical repair, suggesting that excessive tissue stresses and the resulting strain-induced tissue failure are potential etiological factors controlling the success of surgical repair for treating mitral valve (MV) diseases. We hypothesized that restoring normal MV tissue stresses in MV repair techniques would ultimately lead to improved repair durability through the restoration of MV normal homeostatic state. Therefore, we developed a micro- and macro- anatomically accurate MV finite element model by incorporating actual fiber microstructural architecture and a realistic structure-based constitutive model. We investigated MV closing behaviors, with extensive in vitro data used for validating the proposed model. Comparative and parametric studies were conducted to identify essential model fidelity and information for achieving desirable accuracy. More importantly, for the first time, the interrelationship between the local fiber ensemble behavior and the organ-level MV closing behavior was investigated using a computational simulation. These novel results indicated not only the appropriate parameter ranges, but also the importance of the microstructural tuning (i.e., straightening and re-orientation) of the collagen/elastin fiber networks at the macroscopic tissue level for facilitating the proper coaptation and natural functioning of the MV apparatus under physiological loading at the organ level. The proposed computational model would serve as a logical first step toward our long-term modeling goal-facilitating simulation-guided design of optimal surgical repair strategies for treating diseased MVs with significantly enhanced durability.

摘要

最近的长期研究表明,二尖瓣严重反流手术修复后3至5年的复发率不尽人意,这表明过度的组织应力以及由此产生的应变诱导组织衰竭是影响二尖瓣(MV)疾病手术修复成功与否的潜在病因。我们假设,在MV修复技术中恢复正常的MV组织应力最终将通过恢复MV正常的稳态来提高修复的耐久性。因此,我们通过纳入实际的纤维微观结构和基于现实结构的本构模型,开发了一个微观和宏观解剖学精确的MV有限元模型。我们研究了MV的关闭行为,并使用大量体外数据验证所提出的模型。进行了比较研究和参数研究,以确定实现理想精度所需的基本模型保真度和信息。更重要的是,首次使用计算模拟研究了局部纤维集合行为与器官水平MV关闭行为之间的相互关系。这些新结果不仅表明了合适的参数范围,还表明了在宏观组织水平上对胶原/弹性纤维网络进行微观结构调整(即拉直和重新定向)对于促进MV装置在器官水平生理负荷下的正确贴合和自然功能的重要性。所提出的计算模型将作为朝着我们的长期建模目标迈出的合理第一步,即促进模拟指导设计具有显著增强耐久性的患病MV的最佳手术修复策略。

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