Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 02 09 2020
accepted: 22 12 2020
entrez: 1 2 2021
pubmed: 2 2 2021
medline: 29 7 2021
Statut: epublish

Résumé

Recently, coupled musculoskeletal-finite element modelling approaches have emerged as a way to investigate femoral neck loading during various daily activities. Combining personalised gait data with finite element models will not only allow us to study changes in motion/movement, but also their effects on critical internal structures, such as the femur. However, previous studies have been hampered by the small sample size and the lack of fully personalised data in order to construct the coupled model. Therefore, the aim of this study was to build a pipeline for a fully personalised multiscale (body-organ level) model to investigate the strain levels at the femoral neck during a normal gait cycle. Five postmenopausal women were included in this study. The CT and MRI scans of the lower limb, and gait data were collected for all participants. Muscle forces derived from the body level musculoskeletal models were used as boundary constraints on the finite element femur models. Principal strains were estimated at the femoral neck region during a full gait cycle. Considerable variation was found in the predicted peak strain among individuals with mean peak first principal strain of 0.24% ± 0.11% and mean third principal strain of -0.29% ± 0.24%. For four individuals, two overall peaks of the maximum strains were found to occur when both feet were in contact with the floor, while one individual had one peak at the toe-off phase. Both the joint contact forces and the muscular forces were found to substantially influence the loading at the femoral neck. A higher correlation was found between the predicted peak strains and the gluteus medius (R2 ranged between 0.95 and 0.99) than the hip joint contact forces (R2 ranged between 0.63 and 0.96). Therefore, the current findings suggest that personal variations are substantial, and hence it is important to consider multiple subjects before deriving general conclusions for a target population.

Identifiants

pubmed: 33524024
doi: 10.1371/journal.pone.0245121
pii: PONE-D-20-27617
pmc: PMC7850486
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0245121

Subventions

Organisme : Medical Research Council
ID : MR/P020941/1
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Zainab Altai (Z)

Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Erica Montefiori (E)

Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Bart van Veen (B)

Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Margaret A Paggiosi (M)

Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.
Department of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, United Kingdom.

Eugene V McCloskey (EV)

Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.
Department of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, United Kingdom.

Marco Viceconti (M)

Department of Industrial Engineering, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Laboratorio di Tecnologia Medica, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Claudia Mazzà (C)

Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Xinshan Li (X)

Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom.
Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.
Department of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, Sheffield, United Kingdom.

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