Literature DB >> 27185044

The influence of the modulus-density relationship and the material mapping method on the simulated mechanical response of the proximal femur in side-ways fall loading configuration.

B Helgason1, S Gilchrist2, O Ariza3, P Vogt4, W Enns-Bray4, R P Widmer4, T Fitze5, H Pálsson6, Y Pauchard5, P Guy7, S J Ferguson4, P A Cripton2.   

Abstract

Contributing to slow advance of finite element (FE) simulations for hip fracture risk prediction, into clinical practice, could be a lack of consensus in the biomechanics community on how to map properties to the models. Thus, the aim of the present study was first, to systematically quantify the influence of the modulus-density relationship (E-ρ) and the material mapping method (MMM) on the predicted mechanical response of the proximal femur in a side-ways fall (SWF) loading configuration and second, to perform a model-to-model comparison of the predicted mechanical response within the femoral neck for all the specimens tested in the present study, using three different modelling techniques that have yielded good validation outcome in terms of surface strain prediction and whole bone response according to the literature. We found the outcome to be highly dependent on both the E-ρ relationship and the MMM. In addition, we found that the three modelling techniques that have resulted in good validation outcome in the literature yielded different principal strain prediction both on the surface as well as internally in the femoral neck region of the specimens modelled in the present study. We conclude that there exists a need to carry out a more comprehensive validation study for the SWF loading mode to identify which combination of MMMs and E-ρ relationship leads to the best match for whole bone and local mechanical response. The MMMs tested in the present study have been made publicly available at https://simtk.org/home/mitk-gem.
Copyright © 2016 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Femur; Finite element analysis; Mechanical testing; Osteoporosis; Validation

Mesh:

Year:  2016        PMID: 27185044     DOI: 10.1016/j.medengphy.2016.03.006

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  8 in total

1.  Shape morphing technique can accurately predict pelvic bone landmarks.

Authors:  Michal Kuchař; Petr Henyš; Pavel Rejtar; Petr Hájek
Journal:  Int J Legal Med       Date:  2021-01-27       Impact factor: 2.686

2.  Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation.

Authors:  Nikolas K Knowles; Jonathan Kusins; Mohammadreza Faieghi; Melissa Ryan; Enrico Dall'Ara; Louis M Ferreira
Journal:  Ann Biomed Eng       Date:  2019-07-11       Impact factor: 3.934

Review 3.  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

Review 4.  Fracture Prediction by Computed Tomography and Finite Element Analysis: Current and Future Perspectives.

Authors:  Fjola Johannesdottir; Brett Allaire; Mary L Bouxsein
Journal:  Curr Osteoporos Rep       Date:  2018-08       Impact factor: 5.096

5.  Prediction of femoral strength using 3D finite element models reconstructed from DXA images: validation against experiments.

Authors:  Lorenzo Grassi; Sami P Väänänen; Matti Ristinmaa; Jukka S Jurvelin; Hanna Isaksson
Journal:  Biomech Model Mechanobiol       Date:  2016-12-21

6.  On the internal reaction forces, energy absorption, and fracture in the hip during simulated sideways fall impact.

Authors:  Ingmar Fleps; William S Enns-Bray; Pierre Guy; Stephen J Ferguson; Peter A Cripton; Benedikt Helgason
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

7.  Sensitivity of the stress field of the proximal femur predicted by CT-based FE analysis to modeling uncertainties.

Authors:  Sina Youssefian; Jarred A Bressner; Mikhail Osanov; James K Guest; Wojciech B Zbijewski; Adam S Levin
Journal:  J Orthop Res       Date:  2021-07-13       Impact factor: 3.102

8.  Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix.

Authors:  Petr Henyš; Michal Kuchař; Petr Hájek; Niels Hammer
Journal:  Sci Rep       Date:  2021-08-03       Impact factor: 4.379

  8 in total

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