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本文引用的文献

1
Prediction of local fixed charge density loss in cartilage following ACL injury and reconstruction: A computational proof-of-concept study with MRI follow-up.预测 ACL 损伤和重建后软骨局部固定电荷密度损失:一项具有 MRI 随访的计算概念验证研究。
J Orthop Res. 2021 May;39(5):1064-1081. doi: 10.1002/jor.24797. Epub 2020 Jul 20.
2
Mechanobiological model for simulation of injured cartilage degradation via pro-inflammatory cytokines and mechanical stimulus.基于促炎细胞因子和机械刺激的损伤软骨降解的生物力学模型。
PLoS Comput Biol. 2020 Jun 25;16(6):e1007998. doi: 10.1371/journal.pcbi.1007998. eCollection 2020 Jun.
3
Poor functional performance 1 year after ACL reconstruction increases the risk of early osteoarthritis progression.前交叉韧带重建 1 年后功能表现不佳会增加早期骨关节炎进展的风险。
Br J Sports Med. 2020 May;54(9):546-553. doi: 10.1136/bjsports-2019-101503. Epub 2020 Apr 10.
4
Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T and T imaging.在接受前交叉韧带重建的患者中识别易患骨关节炎的部位:结合膝关节计算建模和随访 T1 和 T2 成像。
Clin Biomech (Bristol). 2020 Oct;79:104844. doi: 10.1016/j.clinbiomech.2019.08.004. Epub 2019 Aug 9.
5
Utilizing Atlas-Based Modeling to Predict Knee Joint Cartilage Degeneration: Data from the Osteoarthritis Initiative.利用基于图谱的建模预测膝关节软骨退变:来自骨关节炎倡议的数据。
Ann Biomed Eng. 2019 Mar;47(3):813-825. doi: 10.1007/s10439-018-02184-y. Epub 2018 Dec 13.
6
Comparison between kinetic and kinetic-kinematic driven knee joint finite element models.动力与动力-运动学驱动膝关节有限元模型的比较。
Sci Rep. 2018 Nov 26;8(1):17351. doi: 10.1038/s41598-018-35628-5.
7
A novel mechanobiological model can predict how physiologically relevant dynamic loading causes proteoglycan loss in mechanically injured articular cartilage.一种新的机械生物学模型可以预测生理相关的动态负荷如何导致机械损伤的关节软骨中蛋白聚糖的丢失。
Sci Rep. 2018 Oct 22;8(1):15599. doi: 10.1038/s41598-018-33759-3.
8
The effect of ageing and osteoarthritis on the mechanical properties of cartilage and bone in the human knee joint.年龄增长和骨关节炎对人膝关节软骨和骨机械性能的影响。
Sci Rep. 2018 Apr 12;8(1):5931. doi: 10.1038/s41598-018-24258-6.
9
Collagen Damage Location in Articular Cartilage Differs if Damage is Caused by Excessive Loading Magnitude or Rate.如果关节软骨损伤是由过大的加载幅度或速率引起的,那么胶原损伤的位置会有所不同。
Ann Biomed Eng. 2018 Apr;46(4):605-615. doi: 10.1007/s10439-018-1986-x. Epub 2018 Feb 8.
10
The effect of constitutive representations and structural constituents of ligaments on knee joint mechanics.韧带的本构表达和结构成分对膝关节力学的影响。
Sci Rep. 2018 Feb 2;8(1):2323. doi: 10.1038/s41598-018-20739-w.

基于生物力学的特定部位分析预测骨关节炎易患部位——前交叉韧带重建患者的有限元建模和 MRI 随访。

Subject-specific biomechanical analysis to estimate locations susceptible to osteoarthritis-Finite element modeling and MRI follow-up of ACL reconstructed patients.

机构信息

Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.

Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.

出版信息

J Orthop Res. 2022 Aug;40(8):1744-1755. doi: 10.1002/jor.25218. Epub 2021 Nov 24.

DOI:10.1002/jor.25218
PMID:34820897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9127000/
Abstract

The aims of this case-control study were to: (1) Identify cartilage locations and volumes at risk of osteoarthritis (OA) using subject-specific finite element (FE) models; (2) Quantify the relationships between the simulated biomechanical parameters and T and T relaxation times of magnetic resonance imaging (MRI). We created subject-specific FE models for seven patients with anterior cruciate ligament (ACL) reconstruction and six controls based on a previous proof-of-concept study. We identified locations and cartilage volumes susceptible to OA, based on maximum principal stresses and absolute maximum shear strains in cartilage exceeding thresholds of 7 MPa and 32%, respectively. The locations and volumes susceptible to OA were compared qualitatively and quantitatively against 2-year longitudinal changes in T and T relaxation times. The degeneration volumes predicted by the FE models, based on excessive maximum principal stresses, were significantly correlated (r = 0.711, p < 0.001) with the degeneration volumes determined from T relaxation times. There was also a significant correlation between the predicted stress values and changes in T relaxation time (r = 0.649, p < 0.001). Absolute maximum shear strains and changes in T relaxation time were not significantly correlated. Five out of seven patients with ACL reconstruction showed excessive maximum principal stresses in either one or both tibial cartilage compartments, in agreement with follow-up information from MRI. Expectedly, for controls, the FE models and follow-up information showed no degenerative signs. Our results suggest that the presented modelling methodology could be applied to prospectively identify ACL reconstructed patients at risk of biomechanically driven OA, particularly by the analysis of maximum principal stresses of cartilage.

摘要

本病例对照研究的目的是

(1) 使用基于个体的有限元 (FE) 模型确定易患骨关节炎 (OA) 的软骨位置和体积;(2) 量化模拟生物力学参数与磁共振成像 (MRI) 的 T1 和 T2 弛豫时间之间的关系。我们基于之前的概念验证研究,为 7 例前交叉韧带 (ACL) 重建患者和 6 例对照者创建了基于个体的 FE 模型。我们根据软骨中的最大主应力和绝对最大剪应变超过 7 MPa 和 32%的阈值,确定了易患 OA 的位置和软骨体积。通过 FE 模型预测的易患 OA 的位置和体积与 T1 和 T2 弛豫时间的 2 年纵向变化进行了定性和定量比较。基于过度最大主应力的 FE 模型预测的退变体积与从 T1 弛豫时间确定的退变体积显著相关 (r = 0.711,p < 0.001)。预测的应力值与 T1 弛豫时间变化之间也存在显著相关性 (r = 0.649,p < 0.001)。绝对最大剪应变与 T1 弛豫时间的变化无显著相关性。7 例 ACL 重建患者中有 5 例在一个或两个胫骨软骨腔内出现过度的最大主应力,与 MRI 的随访信息一致。不出所料,对照者的 FE 模型和随访信息未显示退行性征象。我们的研究结果表明,所提出的建模方法可用于前瞻性地识别因生物力学驱动的 OA 而处于危险中的 ACL 重建患者,特别是通过分析软骨的最大主应力。

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