Literature DB >> 28342531

Sensitivity of medial and lateral knee contact force predictions to frontal plane alignment and contact locations.

Christopher M Saliba1, Scott C E Brandon2, Kevin J Deluzio3.   

Abstract

Musculoskeletal models are increasingly used to estimate medial and lateral knee contact forces, which are difficult to measure in vivo. The sensitivity of contact force predictions to modeling parameters is important to the interpretation and implication of results generated by the model. The purpose of this study was to quantify the sensitivity of knee contact force predictions to simultaneous errors in frontal plane knee alignment and contact locations under different dynamic conditions. We scaled a generic musculoskeletal model for N=23 subjects' stature and radiographic knee alignment, then perturbed frontal plane alignment and mediolateral contact locations within experimentally-possible ranges of 10° to -10° and 10 to -10mm, respectively. The sensitivity of first peak, second peak, and mean medial and lateral knee contact forces to knee adduction angle and contact locations was modeled using linear regression. Medial loads increased, and lateral loads decreased, by between 3% and 6% bodyweight for each degree of varus perturbation. Shifting the medial contact point medially increased medial loads and decreased lateral loads by between 1% and 4% bodyweight per millimeter. This study demonstrates that realistic measurement errors of 5mm (contact distance) or 5° (frontal plane alignment) could result in a combined 50% BW error in subject specific contact force estimates. We also show that model sensitivity varies between subjects as a result of differences in gait dynamics. These results demonstrate that predicted knee joint contact forces should be considered as a range of possible values determined by model uncertainty.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Contact locations; Frontal plane alignment; Knee contact; Musculoskeletal model; OpenSim

Mesh:

Year:  2017        PMID: 28342531     DOI: 10.1016/j.jbiomech.2017.03.005

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  Improving Musculoskeletal Model Scaling Using an Anatomical Atlas: The Importance of Gender and Anthropometric Similarity to Quantify Joint Reaction Forces.

Authors:  Ziyun Ding; Chui K Tsang; Daniel Nolte; Angela E Kedgley; Anthony M J Bull
Journal:  IEEE Trans Biomed Eng       Date:  2019-03-28       Impact factor: 4.538

2.  The effect of alignment on knee osteoarthritis initiation and progression differs based on anterior cruciate ligament status: data from the Osteoarthritis Initiative.

Authors:  Shawn M Robbins; Nicolas Raymond; François Abram; Jean-Pierre Pelletier; Johanne Martel-Pelletier
Journal:  Clin Rheumatol       Date:  2019-09-02       Impact factor: 2.980

3.  The effect of articular geometry features identified using statistical shape modelling on knee biomechanics.

Authors:  Allison L Clouthier; Colin R Smith; Michael F Vignos; Darryl G Thelen; Kevin J Deluzio; Michael J Rainbow
Journal:  Med Eng Phys       Date:  2019-03-06       Impact factor: 2.242

4.  Vibration Characterization of the Human Knee Joint in Audible Frequencies.

Authors:  Mohsen Safaei; Nicholas B Bolus; Alper Erturk; Omer T Inan
Journal:  Sensors (Basel)       Date:  2020-07-25       Impact factor: 3.576

5.  Influence of musculotendon geometry variability in muscle forces and hip bone-on-bone forces during walking.

Authors:  E Martín-Sosa; J Martínez-Reina; J Mayo; J Ojeda
Journal:  PLoS One       Date:  2019-09-25       Impact factor: 3.240

6.  Knee loading in OA subjects is correlated to flexion and adduction moments and to contact point locations.

Authors:  Ali Zeighami; Raphael Dumas; Rachid Aissaoui
Journal:  Sci Rep       Date:  2021-04-21       Impact factor: 4.379

  6 in total

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