Biomechanics of knee joint during forward-walking and drop-landing after anterior cruciate ligament reconstruction: finite element and gait analysis

被引:0
作者
Khademi, Midiya [1 ]
Haghpanahi, Mohammad [2 ]
Razi, Mohammad [3 ]
Sharifnezhad, Ali [4 ]
Nikkhoo, Mohammad [1 ]
机构
[1] Islamic Azad Univ, Dept Biomed Engn, Sci & Res Branch, Tehran 1477893855, Iran
[2] Iran Univ Sci & Technol, Dept Mech Engn, Tehran 1684613114, Iran
[3] Iran Univ Med Sci, Dept Orthoped, Tehran 1449614535, Iran
[4] Sport Sci Res Inst, Dept Sport Biomech & Technol, Tehran 1587958711, Iran
关键词
Anterior cruciate ligament reconstruction (ACLR); Forward walking (FW); Drop landing (DL); Knee finite element model; Gait analysis; BEHAVIOR; SURGERY; RETURN; SPORT;
D O I
10.1007/s10409-024-24100-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The anterior cruciate ligament plays a crucial role in maintaining stability within the knee joint, particularly for athletes who frequently experience its rupture. This study presents a novel approach using personalized three-dimensional (3D) parametric finite element modeling of the knee joint to simulate the treatment following anterior cruciate ligament reconstruction (ACLR) in both forward walking (FW) and drop landing (DL) tasks. The study encompasses two distinct cohorts: five healthy athletes and five ACLR patients. Biomechanical motion analysis was conducted on both cohorts, with the ACLR patient group evaluated at 6 and 9 months post-surgery. A comprehensive 3D parametric model of the knee joint was meticulously crafted. The findings reveal a notable reduction in stress on crucial knee structures such as the autograft, meniscus, and cartilages over time for both FW and DL tasks following ACLR, with a reduction in tissue tension of approximately 9.5% and 37% for FW and DL, respectively. This personalized model not only facilitates the investigation of knee joint tissue biomechanics post-ACLR but also aids in estimating the return-to-sports timeline for patients. By accommodating individual tissue geometries and incorporating patient-specific kinetic data, this model enhances our comprehension of post-ACLR biomechanics across various functional tasks, thereby optimizing rehabilitation strategies.
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页数:23
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