Literature DB >> 23540722

Proximal femur bone strength estimated by a computationally fast finite element analysis in a sideways fall configuration.

Kyle K Nishiyama1, Seth Gilchrist, Pierre Guy, Peter Cripton, Steven K Boyd.   

Abstract

Finite element (FE) analysis based on quantitative computed tomography (QCT) images is an emerging tool to estimate bone strength in a specific patient or specimen; however, it is limited by the computational power required and the associated time required to generate and solve the models. Thus, our objective was to develop a fast, validated method to estimate whole bone structural stiffness and failure load in addition to a sensitivity analysis of varying boundary conditions. We performed QCT scans on twenty fresh-frozen proximal femurs (age: 77±13 years) and mechanically tested the femurs in a configuration that simulated a sideways fall on the hip. We used custom software to generate the FE models with boundary conditions corresponding to the mechanical tests and solved the linear models to estimate bone structural stiffness and estimated failure load. For the sensitivity analysis, we varied the internal rotation angle of the femoral neck from -30° to 45° at 15° intervals and estimated structural stiffness at each angle. We found both the FE estimates of structural stiffness (R(2)=0.89, p<0.01) and failure load (R(2)=0.81, p<0.01) to be in high agreement with the values found by mechanical testing. An important advantage of these methods was that the models of approximately 500,000 elements took less than 11 min to solve using a standard desktop workstation. In this study we developed and validated a method to quickly and accurately estimate proximal femur structural stiffness and failure load using QCT-driven FE methods.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23540722     DOI: 10.1016/j.jbiomech.2013.02.025

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


  18 in total

Review 1.  Sideways fall-induced impact force and its effect on hip fracture risk: a review.

Authors:  M Nasiri Sarvi; Y Luo
Journal:  Osteoporos Int       Date:  2017-07-20       Impact factor: 4.507

2.  Opportunistic CT screening predicts individuals at risk of major osteoporotic fracture.

Authors:  A S Michalski; B A Besler; L A Burt; S K Boyd
Journal:  Osteoporos Int       Date:  2021-02-10       Impact factor: 4.507

Review 3.  Clinical Evaluation of Bone Strength and Fracture Risk.

Authors:  Chantal M J de Bakker; Wei-Ju Tseng; Yihan Li; Hongbo Zhao; X Sherry Liu
Journal:  Curr Osteoporos Rep       Date:  2017-02       Impact factor: 5.096

Review 4.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

5.  Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position.

Authors:  Dan Dragomir-Daescu; Asghar Rezaei; Timothy Rossman; Susheil Uthamaraj; Rachel Entwistle; Sean McEligot; Vincent Lambert; Hugo Giambini; Iwona Jasiuk; Michael J Yaszemski; Lichun Lu
Journal:  J Vis Exp       Date:  2017-08-17       Impact factor: 1.355

6.  Peripheral quantitative computed tomography (pQCT)-based finite element analysis provides enhanced diagnostic performance in identifying non-vertebral fracture patients compared with dual-energy X-ray absorptiometry.

Authors:  H Jiang; D L Robinson; C J Yates; P V S Lee; J D Wark
Journal:  Osteoporos Int       Date:  2019-11-13       Impact factor: 4.507

Review 7.  A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture.

Authors:  Y Luo
Journal:  Osteoporos Int       Date:  2015-09-11       Impact factor: 4.507

8.  Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk.

Authors:  M L Bouxsein; P Zysset; C C Glüer; M McClung; E Biver; D D Pierroz; S L Ferrari
Journal:  Osteoporos Int       Date:  2020-01-03       Impact factor: 4.507

9.  Classification of women with and without hip fracture based on quantitative computed tomography and finite element analysis.

Authors:  K K Nishiyama; M Ito; A Harada; S K Boyd
Journal:  Osteoporos Int       Date:  2013-08-16       Impact factor: 4.507

10.  Study of the significance of parameters and their interaction on assessing femoral fracture risk by quantitative statistical analysis.

Authors:  Rabina Awal; Jalel Ben Hmida; Yunhua Luo; Tanvir Faisal
Journal:  Med Biol Eng Comput       Date:  2022-02-04       Impact factor: 2.602

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