Using Musculoskeletal Models to Estimate

joint contact forces knee implant kinematics model credibility assessment musculoskeletal modeling total knee replacement

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2021
Historique:
received: 30 04 2021
accepted: 23 06 2021
entrez: 16 8 2021
pubmed: 17 8 2021
medline: 17 8 2021
Statut: epublish

Résumé

Total knee replacement (TKR) is one of the most performed orthopedic surgeries to treat knee joint diseases in the elderly population. Although the survivorship of knee implants may extend beyond two decades, the poor outcome rate remains considerable. A recent computational approach used to better understand failure modes and improve TKR outcomes is based on the combination of musculoskeletal (MSK) and finite element models. This combined multiscale modeling approach is a promising strategy in the field of computational biomechanics; however, some critical aspects need to be investigated. In particular, the identification and quantification of the uncertainties related to the boundary conditions used as inputs to the finite element model due to a different definition of the MSK model are crucial. Therefore, the aim of this study is to investigate this problem, which is relevant for the model credibility assessment process. Three different generic MSK models available in the OpenSim platform were used to simulate gait, based on the experimental data from the fifth edition of the "Grand Challenge Competitions to Predict

Identifiants

pubmed: 34395407
doi: 10.3389/fbioe.2021.703508
pmc: PMC8357266
doi:

Types de publication

Journal Article

Langues

eng

Pagination

703508

Informations de copyright

Copyright © 2021 Curreli, Di Puccio, Davico, Modenese and Viceconti.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Cristina Curreli (C)

Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Francesca Di Puccio (F)

Dipartimento di Ingegneria Civile e Industriale, Università di Pisa, Pisa, Italy.

Giorgio Davico (G)

Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Luca Modenese (L)

Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom.

Marco Viceconti (M)

Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Classifications MeSH