Chandran Krishnan B, Kim Hyunggun
Department of Biomedical Engineering, The University of Iowa, Iowa City, IA, 52242, USA.
Ann Biomed Eng. 2015 Jun;43(6):1348-62. doi: 10.1007/s10439-014-1094-5. Epub 2014 Aug 19.
The mitral valve (MV) apparatus consists of the two asymmetric leaflets, the saddle-shaped annulus, the chordae tendineae, and the papillary muscles. MV function over the cardiac cycle involves complex interaction between the MV apparatus components for efficient blood circulation. Common diseases of the MV include valvular stenosis, regurgitation, and prolapse. MV repair is the most popular and most reliable surgical treatment for early MV pathology. One of the unsolved problems in MV repair is to predict the optimal repair strategy for each patient. Although experimental studies have provided valuable information to improve repair techniques, computational simulations are increasingly playing an important role in understanding the complex MV dynamics, particularly with the availability of patient-specific real-time imaging modalities. This work presents a review of computational simulation studies of MV function employing finite element structural analysis and fluid-structure interaction approach reported in the literature to date. More recent studies towards potential applications of computational simulation approaches in the assessment of valvular repair techniques and potential pre-surgical planning of repair strategies are also discussed. It is anticipated that further advancements in computational techniques combined with the next generations of clinical imaging modalities will enable physiologically more realistic simulations. Such advancement in imaging and computation will allow for patient-specific, disease-specific, and case-specific MV evaluation and virtual prediction of MV repair.
二尖瓣(MV)装置由两个不对称的瓣叶、鞍形瓣环、腱索和乳头肌组成。在心动周期中,MV的功能涉及MV装置各组成部分之间复杂的相互作用,以实现有效的血液循环。MV的常见疾病包括瓣膜狭窄、反流和脱垂。MV修复是早期MV病变最常用且最可靠的外科治疗方法。MV修复中尚未解决的问题之一是为每位患者预测最佳修复策略。尽管实验研究为改进修复技术提供了有价值的信息,但计算模拟在理解复杂的MV动力学方面正发挥着越来越重要的作用,特别是随着特定患者实时成像模式的出现。本文综述了迄今为止文献中报道的采用有限元结构分析和流固耦合方法对MV功能进行的计算模拟研究。还讨论了计算模拟方法在评估瓣膜修复技术和潜在的术前修复策略规划方面的最新潜在应用研究。预计计算技术的进一步发展与下一代临床成像模式相结合,将实现生理上更逼真的模拟。成像和计算方面的这种进步将允许针对特定患者、特定疾病和特定病例进行MV评估以及对MV修复进行虚拟预测。