A credible homogenized finite element model to predict radius fracture in the case of a forward fall.


Journal

Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406

Informations de publication

Date de publication:
07 2022
Historique:
received: 17 08 2021
revised: 23 03 2022
accepted: 26 03 2022
pubmed: 6 5 2022
medline: 31 5 2022
entrez: 5 5 2022
Statut: ppublish

Résumé

Fragility fractures that occur after a fall from a standing height or less are almost always due to osteoporosis, which remains underdiagnosed and untreated. Patient-specific finite element (FE) models have been introduced to predict bone strength and strain. This approach, based on structure mechanics, is derived from Quantitative Computed Tomography (QCT), and element mechanical properties are computed from bone mineral densities. In this study, we developed a credible finite element model of the radius to discriminate low-trauma-fractured radii from non-fractured radii obtained experimentally. Thirty cadaveric radii were impacted with the same loading condition at 2 m/s, and experimental surface strain was retrieved by stereo-correlation in addition to failure loads in fracture cases. Finite element models of the distal radius were created from clinical computed tomography. Different density-elasticity relationships and failure criteria were tested. The strongest agreement (simulations-experiments) for average strain showed a Spearman's rank correlation (ρ) between 0.75 and 0.82, p < 0.0001, with a root mean square error between 0.14 and 0.19%. The experimental mean strain was 0.55%. Predicted failure load error (23%) was minimized for derived Pistoia's failure criterion. Numerical failure demonstrated area under the receiver operating characteristic (ROC) curves of 0.76 when classifying radius fractures with an accuracy of 82%. These results suggest that a credible FE modelling method in a large region of interest (distal radius) is a suitable technique to predict radius fractures after a forward fall.

Identifiants

pubmed: 35512487
pii: S1751-6161(22)00124-2
doi: 10.1016/j.jmbbm.2022.105206
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105206

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

M Revel (M)

Univ Lyon, Univ Claude Bernard Lyon 1, INSERM, LYOS UMR1033, F69008, Lyon, France; Univ Lyon, Univ Gustave Eiffel, Univ Claude Bernard Lyon 1, LBMC UMR_T9406, F69622, Lyon, France.

M Gardegaront (M)

Univ Lyon, Univ Claude Bernard Lyon 1, INSERM, LYOS UMR1033, F69008, Lyon, France; Univ Lyon, Univ Gustave Eiffel, Univ Claude Bernard Lyon 1, LBMC UMR_T9406, F69622, Lyon, France.

F Bermond (F)

Univ Lyon, Univ Gustave Eiffel, Univ Claude Bernard Lyon 1, LBMC UMR_T9406, F69622, Lyon, France.

D Mitton (D)

Univ Lyon, Univ Gustave Eiffel, Univ Claude Bernard Lyon 1, LBMC UMR_T9406, F69622, Lyon, France.

H Follet (H)

Univ Lyon, Univ Claude Bernard Lyon 1, INSERM, LYOS UMR1033, F69008, Lyon, France. Electronic address: helene.follet@inserm.fr.

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Classifications MeSH