van den Heever Dawie, Scheffer Cornie, Erasmus Pieter, Dillon Edwin
Department of Mechanical and Mechatronic Engineering, Stellenbosch University, Stellenbosch, 7600, South Africa.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4875-8. doi: 10.1109/EMBC.2012.6347086.
This study presents a design methodology for designing and manufacturing patient-specific unicompartmental knee replacements. The design methodology uses mathematical modeling and an artificial neural network to predict the original and healthy articulating surfaces of a patient's knee. The models are combined with medical images from the patient to create a knee prosthesis that is patient-specific. These patient-specific implants are then compared to conventional implants with respect to contact stresses and kinematics. The patient-specific implant experienced lower contact stresses at the tibiofemoral joint compared to a fixed-bearing design. Both the UKRs showed similar kinematic patterns to the normal knee using two different test rigs. The patient-specific UKR showed good results and with the other benefits it shows potential to dramatically improve clinical outcomes of knee replacement surgery.
本研究提出了一种用于设计和制造患者特异性单髁膝关节置换物的设计方法。该设计方法利用数学建模和人工神经网络来预测患者膝关节的原始健康关节面。这些模型与患者的医学图像相结合，以创建针对该患者的膝关节假体。然后，就接触应力和运动学方面，将这些患者特异性植入物与传统植入物进行比较。与固定承重设计相比，患者特异性植入物在胫股关节处承受的接触应力更低。使用两种不同的试验装置，两种单髁膝关节置换物均显示出与正常膝关节相似的运动模式。患者特异性单髁膝关节置换物显示出良好的效果，并且具有其他优势，它有潜力显著改善膝关节置换手术的临床结果。
Zotero 插件