Benos Lefteris, Stanev Dimitar, Spyrou Leonidas, Moustakas Konstantinos, Tsaopoulos Dimitrios E
Institute for Bio-Economy and Agri-Technology, Centre for Research and Technology-Hellas, Thessaloniki, Greece.
Department of Electrical and Computer Engineering, University of Patras, Patras, Greece.
Front Bioeng Biotechnol. 2020 Aug 20;8:967. doi: 10.3389/fbioe.2020.00967. eCollection 2020.
The anterior cruciate ligament (ACL) constitutes one of the most important stabilizing tissues of the knee joint whose rapture is very prevalent. ACL reconstruction (ACLR) from a graft is a surgery which yields the best outcome. Taking into account the complicated nature of this operation and the high cost of experiments, finite element (FE) simulations can become a valuable tool for evaluating the surgery in a pre-clinical setting. The present study summarizes, for the first time, the current advancement in ACLR in both clinical and computational level. It also emphasizes on the material modeling and properties of the most popular grafts as well as modeling of different surgery techniques. It can be concluded that more effort is needed to be put toward more realistic simulation of the surgery, including also the use of two bundles for graft representation, graft pretension and artificial grafts. Furthermore, muscles and synovial fluid need to be included, while patellofemoral joint is an important bone that is rarely used. More realistic models are also required for soft tissues, as most articles used isotropic linear elastic models and springs. In summary, accurate and realistic FE analysis in conjunction with multidisciplinary collaboration could contribute to ACLR improvement provided that several important aspects are carefully considered.
前交叉韧带(ACL)是膝关节最重要的稳定组织之一,其断裂非常普遍。采用移植物进行ACL重建(ACLR)是一种能产生最佳效果的手术。考虑到该手术的复杂性以及实验成本高昂,有限元(FE)模拟可成为在临床前环境中评估该手术的宝贵工具。本研究首次总结了ACLR在临床和计算层面的当前进展。它还强调了最常用移植物的材料建模和特性以及不同手术技术的建模。可以得出结论,需要付出更多努力来实现更逼真的手术模拟,包括使用双束来表示移植物、移植物预紧和人工移植物。此外,需要纳入肌肉和滑液,而髌股关节是一块很少被使用的重要骨头。对于软组织也需要更逼真的模型,因为大多数文章使用的是各向同性线性弹性模型和弹簧。总之,只要仔细考虑几个重要方面,准确而逼真的有限元分析与多学科合作有助于改进ACLR。