Innovation Center of Bioengineering, Shaanxi Engineering Laboratory for Transmissions and Controls, Northwestern Polytechnical University, Xi'an, P.R. China.
Joint Surgery Department, Xi'an Hong-hui Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, P.R. China.
Comput Methods Biomech Biomed Engin. 2023 Jun;26(8):972-985. doi: 10.1080/10255842.2022.2101889. Epub 2022 Jul 19.
Accurate prediction of tibiofemoral contact force (TFCF) during daily living activities is significant for understanding the initiation, progression, and treatment of knee osteoarthritis (KOA). However, the diversity of target activities, prediction accuracy, and computational efficiency of the current musculoskeletal simulations need to be further improved. In this study, a subject-specific musculoskeletal model considered the tibiofemoral alignment, medial-lateral contact locations, secondary tibiofemoral and all patellofemoral motions, and knee ligaments was proposed to predict the TFCFs during the five daily activities (normal walking, sit-to-stand, stand-to-sit, stair ascent, and stair descent) in OpenSim software. The standing lower-limbs-full-length radiograph, local radiograph of knee joint, motion capture data, and force plate data of eighteen subjects were acquired as the input data of the musculoskeletal model. The results showed good agreements of TFCFs between the predictions based on our proposed musculoskeletal model and the in-vivo measurements based on instrumented knee implants during the five daily activities (RMSE: 0.16 ∼ 0.31 BW, R: 0.88 ∼ 0.97, M: -0.11 ∼ -0.02, P: 0.03 ∼ 0.10, and C: 0.04 ∼ 0.14). Additionally, the order of the peak total and lateral TFCFs from low to high was normal walking, stair ascent and stand-to-sit, and stair descent and sit-to-stand ( < 0.05), and the peak medial TFCF was stand-to-sit, sit-to-stand, normal walking, stair ascent and stair descent ( < 0.05). The outcomes of this study are valuable for further understanding the knee biomechanics during daily living activities and providing theoretical guidance for the treatments of KOA.
准确预测日常生活活动中的胫股接触力（TFCF）对于理解膝骨关节炎（KOA）的发生、发展和治疗具有重要意义。然而，目前的肌肉骨骼模拟在目标活动的多样性、预测准确性和计算效率方面仍需进一步提高。在这项研究中，提出了一种考虑胫股对线、内外侧接触位置、次要胫股和所有髌股运动以及膝关节韧带的基于个体的肌肉骨骼模型，以在 OpenSim 软件中预测 5 种日常活动（正常行走、坐站、站坐、上下楼梯）中的 TFCFs。18 名受试者的站立下肢全长射线照片、膝关节局部射线照片、运动捕捉数据和力板数据被用作肌肉骨骼模型的输入数据。结果表明，基于我们提出的肌肉骨骼模型的预测与基于仪器化膝关节植入物的体内测量在 5 种日常活动中的 TFCFs 具有良好的一致性（RMSE：0.160.31BW，R：0.880.97，M：-0.11-0.02，P：0.030.10，C：0.04~0.14）。此外，从低到高，总 TFCF 和外侧 TFCF 的峰值顺序为正常行走、上楼梯和站坐、下楼梯和坐站（ < 0.05），内侧 TFCF 的峰值为站坐、坐站、正常行走、上楼梯和下楼梯（ < 0.05）。本研究的结果有助于进一步了解日常生活活动中的膝关节生物力学，并为 KOA 的治疗提供理论指导。
