Literature DB >> 25895643

Developing CT based computational models of pediatric femurs.

Xinshan Li1, Marco Viceconti2, Marta C Cohen3, Gwendolen C Reilly4, Matt J Carré5, Amaka C Offiah6.   

Abstract

The mechanisms of fracture in infants and toddlers are not well understood. There have been very few studies on the mechanical properties of pediatric bones and their responses under fracture loading. A better understanding of fracture mechanisms in children will help elucidate both accidental and non-accidental injuries, as well as bone fragility diseases. The aim of this study is to develop in silico femoral models from CT scans to provide detailed quantitative information regarding the geometry and mechanical response of the femur, with the long term potential of investigating injury mechanisms. Fifteen anonymized QCT scans (aged 0-3 years) were collected and used to create personalized computational models of femurs. The elastic modulus of femur was illustrated at various ages. The models were also subjected to a series of four point bending simulations taking into account a range of loads perpendicular to the femoral shaft. The results showed that mid-shaft cross-section at birth appeared circular, but the diameter in the anteroposterior axis gradually increased with age. The density, and by implication modulus of elasticity at the mid-shaft became more differentiated with growth. Pediatric cortical bone with density close to the peak values found in adults was attained a few weeks after birth. The method is able to capture quantitative variations in geometries, material properties and mechanical responses, and has confirmed the rapid development of bone during the first few years of life using in silico models.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Bone development; Bone mechanical properties; Finite element models; Pediatric long bone

Mesh:

Year:  2015        PMID: 25895643     DOI: 10.1016/j.jbiomech.2015.03.027

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

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Authors:  Andy Tsai; Brittany Coats; Paul K Kleinman
Journal:  Pediatr Radiol       Date:  2017-07-18

2.  Investigation of femur fracture potential in common pediatric falls using finite element analysis.

Authors:  Keyonna McKinsey; Angela Thompson; Gina Bertocci
Journal:  Comput Methods Biomech Biomed Engin       Date:  2020-10-29       Impact factor: 1.763

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Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

4.  In Vivo Assessment of Elasticity of Child Rib Cortical Bone Using Quantitative Computed Tomography.

Authors:  Y Zhu; F Bermond; J Payen de la Garanderie; J-B Pialat; B Sandoz; D Brizard; J-P Pracros; F Rongieras; W Skalli; D Mitton
Journal:  Appl Bionics Biomech       Date:  2017-07-09       Impact factor: 1.781

5.  Validation of Material Algorithms for Femur Remodelling Using Medical Image Data.

Authors:  Shitong Luo; Xingquan Shen; Xin Bai; Jing Bai; Jianning Han; Yu Shang
Journal:  Appl Bionics Biomech       Date:  2017-12-26       Impact factor: 1.781

6.  Fixation Release and the Bone Bandaid: A New Bone Fixation Device Paradigm.

Authors:  Narges Shayesteh Moghaddam; Ahmadreza Jahadakbar; Amirhesam Amerinatanzi; Roman Skoracki; Michael Miller; David Dean; Mohammad Elahinia
Journal:  Bioengineering (Basel)       Date:  2017-01-22

7.  Finite element modelling of the developing infant femur using paired CT and MRI scans.

Authors:  A P G Castro; Z Altai; A C Offiah; S C Shelmerdine; O J Arthurs; X Li; D Lacroix
Journal:  PLoS One       Date:  2019-06-18       Impact factor: 3.240

8.  Bone Fractures Numerical Analysis in a Femur Affected by Osteogenesis Imperfecta.

Authors:  Viridiana Ramírez-Vela; Luis Antonio Aguilar-Pérez; Juan Carlos Paredes-Rojas; Juan Alejandro Flores-Campos; Fernando ELi Ortiz-Hernández; Christopher René Torres-SanMiguel
Journal:  Children (Basel)       Date:  2021-12-14
  8 in total

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