Investigating rolling as mechanism for humeral fractures in non-ambulant infants: a preliminary finite element study.


Journal

Clinical radiology
ISSN: 1365-229X
Titre abrégé: Clin Radiol
Pays: England
ID NLM: 1306016

Informations de publication

Date de publication:
01 2020
Historique:
received: 04 06 2019
accepted: 29 08 2019
pubmed: 9 10 2019
medline: 21 7 2020
entrez: 9 10 2019
Statut: ppublish

Résumé

To use personalised computed tomography (CT)-based finite element models to quantitatively investigate the likelihood of self-inflicted humeral fracture in non-ambulant infants secondary to rolling. Three whole-body post-mortem CT examinations of children at the age of rolling (two 4-month-old and one 6-month-old) were used. The mechanical moment needed by each infant to perform a rolling manoeuvre was calculated and applied to the finite element model in order to simulate spontaneous rolling from the prone to the supine position. The maximum predicted strains were found to be substantially lower (with a difference of >80%) than the elastic limit of the bone. Results of this study challenge the plausibility of self-inflicted humeral fracture caused by rolling in non-ambulant infants and indicate that it is unlikely for a humeral fracture to result from this mechanism without the assistance of an external force.

Identifiants

pubmed: 31590914
pii: S0009-9260(19)30552-5
doi: 10.1016/j.crad.2019.08.026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

78.e9-78.e16

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Z Altai (Z)

Department of Mechanical Engineering, University of Sheffield, UK; Insigneo Institute for in silico Medicine, University of Sheffield, UK.

M Viceconti (M)

Department of Mechanical Engineering, University of Sheffield, UK; Insigneo Institute for in silico Medicine, University of Sheffield, UK.

X Li (X)

Department of Mechanical Engineering, University of Sheffield, UK; Insigneo Institute for in silico Medicine, University of Sheffield, UK. Electronic address: xinshan.li@sheffield.ac.uk.

A C Offiah (AC)

Insigneo Institute for in silico Medicine, University of Sheffield, UK; Department of Oncology and Metabolism, University of Sheffield, UK.

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Classifications MeSH