| Title |
Investigating the mechanical response of paediatric bone under bending and torsion using finite element analysis
|
|---|---|
| Published in |
Biomechanics and Modeling in Mechanobiology, March 2018
|
| DOI | 10.1007/s10237-018-1008-9 |
| Pubmed ID | |
| Authors |
Zainab Altai, Marco Viceconti, Amaka C. Offiah, Xinshan Li |
| Abstract |
Fractures of bone account 25% of all paediatric injuries (Cooper et al. in J Bone Miner Res 19:1976-1981, 2004. https://doi.org/10.1359/JBMR.040902 ). These can be broadly categorised into accidental or inflicted injuries. The current clinical approach to distinguish between these two is based on the clinician's judgment, which can be subjective. Furthermore, there is a lack of studies on paediatric bone to provide evidence-based information on bone strength, mainly due to the difficulties of obtaining paediatric bone samples. There is a need to investigate the behaviour of children's bones under external loading. Such data will critically enhance our understanding of injury tolerance of paediatric bones under various loading conditions, related to injuries, such as bending and torsional loads. The aim of this study is therefore to investigate the response of paediatric femora under two types of loading conditions, bending and torsion, using a CT-based finite element approach, and to determine a relationship between bone strength and age/body mass of the child. Thirty post-mortem CT scans of children aged between 0 and 3 years old were used in this study. Two different boundary conditions were defined to represent four-point bending and pure torsional loads. The principal strain criterion was used to estimate the failure moment for both loading conditions. The results showed that failure moment of the bone increases with the age and mass of the child. The predicted failure moment for bending, external and internal torsions were 0.8-27.9, 1.0-31.4 and 1.0-30.7 Nm, respectively. To the authors' knowledge, this is the first report on infant bone strength in relation to age/mass using models developed from modern medical images. This technology may in future help advance the design of child, car restrain system, and more accurate computer models of children. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 19% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Professor | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 23 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 27% |
| Medicine and Dentistry | 12 | 19% |
| Agricultural and Biological Sciences | 1 | 2% |
| Psychology | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 27 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2020.
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#1,580,127
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Outputs from Biomechanics and Modeling in Mechanobiology
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#36,042
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Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#1
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