Literature DB >> 26057607

A dynamic multibody model of the physiological knee to predict internal loads during movement in gravitational field.

Simone Bersini1,2, Valerio Sansone3,4, Carlo A Frigo5.   

Abstract

Obtaining tibio-femoral (TF) contact forces, ligament deformations and loads during daily life motor tasks would be useful to better understand the aetiopathogenesis of knee joint diseases or the effects of ligament reconstruction and knee arthroplasty. However, methods to obtain this information are either too simplified or too computationally demanding to be used for clinical application. A multibody dynamic model of the lower limb reproducing knee joint contact surfaces and ligaments was developed on the basis of magnetic resonance imaging. Several clinically relevant conditions were simulated, including resistance to hyperextension, varus-valgus stability, anterior-posterior drawer, loaded squat movement. Quadriceps force, ligament deformations and loads, and TF contact forces were computed. During anterior drawer test the anterior cruciate ligament (ACL) was maximally loaded when the knee was extended (392 N) while the posterior cruciate ligament (PCL) was much more stressed during posterior drawer when the knee was flexed (319 N). The simulated loaded squat revealed that the anterior fibres of ACL become inactive after 60° of flexion in conjunction with PCL anterior bundle activation, while most components of the collateral ligaments exhibit limited length changes. Maximum quadriceps and TF forces achieved 3.2 and 4.2 body weight, respectively. The possibility to easily manage model parameters and the low computational cost of each simulation represent key points of the present project. The obtained results are consistent with in vivo measurements, suggesting that the model can be used to simulate complex and clinically relevant exercises.

Entities:  

Keywords:  knee internal loads; knee ligaments; knee model; multibody dynamics

Mesh:

Year:  2015        PMID: 26057607     DOI: 10.1080/10255842.2015.1051972

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


  6 in total

1.  The effect of modelling parameters in the development and validation of knee joint models on ligament mechanics: A systematic review.

Authors:  Sara Sadat Farshidfar; Joseph Cadman; Danny Deng; Richard Appleyard; Danè Dabirrahmani
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

2.  In vivo posterior cruciate ligament elongation in running activity after anatomic and non-anatomic anterior cruciate ligament reconstruction.

Authors:  Jing Tang; Eric Thorhauer; Karl Bowman; Freddie H Fu; Scott Tashman
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-06-02       Impact factor: 4.342

3.  The arthroscopic minimally-invasive technique improves the clinical symptoms and facilitates the functional recovery of the lower limbs in knee joint bone trauma patients.

Authors:  Jincun Zhang; Guoping Zou; Guangwen Fang
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

4.  Kinematics and kinetics comparison of ultra-congruent versus medial-pivot designs for total knee arthroplasty by multibody analysis.

Authors:  Giovanni Putame; Mara Terzini; Fabrizio Rivera; Maeruan Kebbach; Rainer Bader; Cristina Bignardi
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.379

5.  Ligament mechanics of ageing and osteoarthritic human knees.

Authors:  Abby E Peters; Brendan Geraghty; Karl T Bates; Riaz Akhtar; Rosti Readioff; Eithne Comerford
Journal:  Front Bioeng Biotechnol       Date:  2022-08-23

6.  Assessment of patient functional performance in different knee arthroplasty designs during unconstrained squat.

Authors:  Federica Verdini; Claudio Zara; Tommaso Leo; Alessandro Mengarelli; Stefano Cardarelli; Bernardo Innocenti
Journal:  Muscles Ligaments Tendons J       Date:  2018-01-10
  6 in total

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