Literature DB >> 22079387

Accuracy of finite element predictions in sideways load configurations for the proximal human femur.

L Grassi1, E Schileo, F Taddei, L Zani, M Juszczyk, L Cristofolini, M Viceconti.   

Abstract

Subject-specific finite element models have been used to predict stress-state and fracture risk in individual patients. While many studies analysed quasi-axial loading configurations, only few works simulated sideways load configurations, such as those arising in a fall. The majority among these latter directly predicted bone strength, without assessing elastic strain prediction accuracy. The aim of the present work was to evaluate if a subject-specific finite element modelling technique from CT data that accurately predicted strains in quasi-axial loading configurations is suitable to accurately predict strains also when applying low magnitude loads in sideways configurations. To this aim, a combined numerical-experimental study was performed to compare finite element predicted strains with strain-gauge measurements from three cadaver proximal femurs instrumented with sixteen strain rosettes and tested non-destructively under twelve loading configurations, spanning a wide cone (0-30° for both adduction and internal rotation angles) of sideways fall scenarios. The results of the present study evidenced a satisfactory agreement between experimentally measured and predicted strains (R(2) greater than 0.9, RMSE% lower than 10%) and displacements. The achieved strain prediction accuracy is comparable to those obtained in state of the art studies in quasi-axial loading configurations. Still, the presence of the highest strain prediction errors (around 30%) in the lateral neck aspect would deserve attention in future studies targeting bone failure.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22079387     DOI: 10.1016/j.jbiomech.2011.10.019

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


  11 in total

1.  MRI-based assessment of proximal femur strength compared to mechanical testing.

Authors:  Chamith S Rajapakse; Alexander R Farid; Daniel C Kargilis; Brandon C Jones; Jae S Lee; Alyssa J Johncola; Alexandra S Batzdorf; Snehal S Shetye; Michael W Hast; Gregory Chang
Journal:  Bone       Date:  2020-01-09       Impact factor: 4.398

2.  Optimal SVM parameter selection for non-separable and unbalanced datasets.

Authors:  Peng Jiang; Samy Missoum; Zhao Chen
Journal:  Struct Multidiscipl Optim       Date:  2014-10-01       Impact factor: 4.542

3.  Left-right differences in the proximal femur's strength of post-menopausal women: a multicentric finite element study.

Authors:  F Taddei; C Falcinelli; L Balistreri; P Henys; F Baruffaldi; S Sigurdsson; V Gudnason; T B Harris; R Dietzel; G Armbrecht; S Boutroy; E Schileo
Journal:  Osteoporos Int       Date:  2015-11-17       Impact factor: 4.507

4.  A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation.

Authors:  Timothy Rossman; Susheil Uthamaraj; Asghar Rezaei; Sean McEligot; Hugo Giambini; Iwona Jasiuk; Michael J Yaszemski; Lichun Lu; Dan Dragomir-Daescu
Journal:  J Vis Exp       Date:  2017-09-14       Impact factor: 1.355

5.  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

6.  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

7.  In-vivo assessment of femoral bone strength using Finite Element Analysis (FEA) based on routine MDCT imaging: a preliminary study on patients with vertebral fractures.

Authors:  Hans Liebl; Eduardo Grande Garcia; Fabian Holzner; Peter B Noel; Rainer Burgkart; Ernst J Rummeny; Thomas Baum; Jan S Bauer
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

8.  Study of the variations of fall induced hip fracture risk between right and left femurs using CT-based FEA.

Authors:  Tanvir R Faisal; Yunhua Luo
Journal:  Biomed Eng Online       Date:  2017-10-03       Impact factor: 2.819

9.  Effect of CT imaging on the accuracy of the finite element modelling in bone.

Authors:  Emir Benca; Morteza Amini; Dieter H Pahr
Journal:  Eur Radiol Exp       Date:  2020-09-01

Review 10.  Biomechanical Computed Tomography analysis (BCT) for clinical assessment of osteoporosis.

Authors:  T M Keaveny; B L Clarke; F Cosman; E S Orwoll; E S Siris; S Khosla; M L Bouxsein
Journal:  Osteoporos Int       Date:  2020-04-26       Impact factor: 5.071

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