基于机械对齐的患者膝关节置换术切割角度的确定

IF 2.4 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Mohammad Mehdi Sarbazi, Mohammadreza Arbabtafti, Ali Nahvi, Seyed Mohammad Javad Mortazavi
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引用次数: 0

摘要

近年来,全膝关节置换术(TKA)的需求显著增长。TKA的切割角度对膝关节植入部件的功能和预期寿命起着重要作用。本研究旨在个性化股骨骨切割角度的选择。这个过程确保了最终的机械对齐是最合适的,同时最小化了从膝盖中心的力传递距离。加载条件假设了一个人从跳跃降落的具有挑战性的场景。在这些载荷条件下,骨骼和植入物的3D模型被创建为股骨切割角度从5°到10°。然后通过有限元分析对模型进行评估。结果用于确定从膝关节中心到股骨、胫骨和所有植入物部件的最短力传递距离和较低的施加应力。在分析模型的情况下,选择的切割角度为7°,从膝盖中心处获得的最小力传递距离为2.48 mm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of Cutting Angle for Patient-Specific Replacement of Knee Joint Based on Mechanical Alignment

The need for total knee arthroplasty (TKA) has grown significantly in recent years. The cutting angle in TKA plays a major role in the functionality and life expectancy of the knee implant components. This study aims to personalize the femur bone cutting angle selection for implant placement. This procedure ensures that the resulting mechanical alignment is the most suitable while minimizing the force transmission distance from the center of the knee. The loading conditions assume the challenging scenario of a person landing from a jump. A 3D model of the bones and implant was created for femur cutting angles ranging from 5° to 10° under these loading conditions. The model was then evaluated through finite element analysis. The results were used to determine the shortest force transmission distance from the center of the knee and lower applied stresses on the femur, tibia, and all implant components. The selected cutting angle was found to be 7° for the case of the analyzed model, resulting in a minimum force transmission distance of 2.48 mm from the center of the knee.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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