Literature DB >> 23682906

Knee joint passive stiffness and moment in sagittal and frontal planes markedly increase with compression.

H Marouane1, A Shirazi-Adl, M Adouni.   

Abstract

Knee joints are subject to large compression forces in daily activities. Due to artefact moments and instability under large compression loads, biomechanical studies impose additional constraints to circumvent the compression position-dependency in response. To quantify the effect of compression on passive knee moment resistance and stiffness, two validated finite element models of the tibiofemoral (TF) joint, one refined with depth-dependent fibril-reinforced cartilage and the other less refined with homogeneous isotropic cartilage, are used. The unconstrained TF joint response in sagittal and frontal planes is investigated at different flexion angles (0°, 15°, 30° and 45°) up to 1800 N compression preloads. The compression is applied at a novel joint mechanical balance point (MBP) identified as a point at which the compression does not cause any coupled rotations in sagittal and frontal planes. The MBP of the unconstrained joint is located at the lateral plateau in small compressions and shifts medially towards the inter-compartmental area at larger compression forces. The compression force substantially increases the joint moment-bearing capacities and instantaneous angular rigidities in both frontal and sagittal planes. The varus-valgus laxities diminish with compression preloads despite concomitant substantial reductions in collateral ligament forces. While the angular rigidity would enhance the joint stability, the augmented passive moment resistance under compression preloads plays a role in supporting external moments and should as such be considered in the knee joint musculoskeletal models.

Entities:  

Keywords:  compression; finite element; knee joint; mechanical balance point; stiffness; varus–valgus

Mesh:

Year:  2013        PMID: 23682906     DOI: 10.1080/10255842.2013.795555

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  2 in total

1.  Simulation of Subject-Specific Progression of Knee Osteoarthritis and Comparison to Experimental Follow-up Data: Data from the Osteoarthritis Initiative.

Authors:  Mimmi K Liukkonen; Mika E Mononen; Olesya Klets; Jari P Arokoski; Simo Saarakkala; Rami K Korhonen
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

2.  Knee Kinematics Estimation Using Multi-Body Optimisation Embedding a Knee Joint Stiffness Matrix: A Feasibility Study.

Authors:  Vincent Richard; Giuliano Lamberto; Tung-Wu Lu; Aurelio Cappozzo; Raphaël Dumas
Journal:  PLoS One       Date:  2016-06-17       Impact factor: 3.240

  2 in total

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