Literature DB >> 17434172

Subject-specific finite element models can accurately predict strain levels in long bones.

Enrico Schileo1, Fulvia Taddei, Andrea Malandrino, Luca Cristofolini, Marco Viceconti.   

Abstract

The prediction of the stress-state and fracture risk induced in bones by various loading conditions in individual patients using subject-specific finite element models still represents a challenge in orthopaedic biomechanics. The accuracy of the strain predictions reported in the literature is variable and generally not satisfactory. The aim of the present study was to evaluate if a proper choice of the density-elasticity relationship can lead to accurate strain predictions in the frame of an automatic subject-specific model generation strategy. To this aim, a combined numerical-experimental study was performed comparing finite element predicted strains with strain-gauges measurements obtained on eight cadaver proximal femurs, each instrumented with 15 rosettes mostly concentrated in the bone metaphyses, tested non-destructively in vitro under six different loading scenarios. Three different density-elasticity power relationships were selected from the literature and implemented in the finite element models derived from computed tomography data. The results of the present study confirm the great influence of the density-elasticity relationship used on the accuracy of numerical predictions. One of the tested constitutive laws provided a very good agreement (R(2)=0.91, RMSE lower than 10% of the maximum measured value) between numerical calculations and experimental measurements. The presented results show, in addition, that the adoption of a single density-elasticity relationship over the whole bone density range is adequate to obtain an accuracy that is already suitable for many applications.

Entities:  

Mesh:

Year:  2007        PMID: 17434172     DOI: 10.1016/j.jbiomech.2007.02.010

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


  47 in total

1.  Voxel classification and graph cuts for automated segmentation of pathological periprosthetic hip anatomy.

Authors:  Daniel F Malan; Charl P Botha; Edward R Valstar
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-01-21       Impact factor: 2.924

2.  In situ parameter identification of optimal density-elastic modulus relationships in subject-specific finite element models of the proximal femur.

Authors:  Alexander Cong; Jorn Op Den Buijs; Dan Dragomir-Daescu
Journal:  Med Eng Phys       Date:  2010-10-27       Impact factor: 2.242

3.  Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion.

Authors:  Henry Wang; Scott Dueball
Journal:  J Vis Exp       Date:  2018-04-11       Impact factor: 1.355

4.  3D patient-specific model of the tibia from CT for orthopedic use.

Authors:  Raide A González-Carbonell; Armando Ortiz-Prado; Victor H Jacobo-Armendáriz; Yosbel A Cisneros-Hidalgo; Armando Alpízar-Aguirre
Journal:  J Orthop       Date:  2015-01-31

5.  Transversely isotropic and isotropic material considerations in determining the mechanical response of geometrically accurate bovine tibia bone.

Authors:  Reem A Yassine; Ramsey F Hamade
Journal:  Med Biol Eng Comput       Date:  2019-08-03       Impact factor: 2.602

Review 6.  Finite Element-Based Mechanical Assessment of Bone Quality on the Basis of In Vivo Images.

Authors:  Dieter H Pahr; Philippe K Zysset
Journal:  Curr Osteoporos Rep       Date:  2016-12       Impact factor: 5.096

7.  Optimizing Accuracy of Proximal Femur Elastic Modulus Equations.

Authors:  Asghar Rezaei; Kent D Carlson; Hugo Giambini; Samad Javid; Dan Dragomir-Daescu
Journal:  Ann Biomed Eng       Date:  2019-03-12       Impact factor: 3.934

8.  Assessing bone quality in terms of bone mineral density, buckling ratio and critical fracture load.

Authors:  D Anitha; Taeyong Lee
Journal:  J Bone Metab       Date:  2014-11-30

9.  Accurate and Efficient Plate and Rod Micro Finite Element Whole Bone Models Based on High-Resolution Peripheral Computed Tomography.

Authors:  Ji Wang; Bin Zhou; Yizhong Hu; Zhendong Zhang; Y Eric Yu; Shashank Nawathe; Kyle K Nishiyama; Tony M Keaveny; Elizabeth Shane; X Edward Guo
Journal:  J Biomech Eng       Date:  2019-01-31       Impact factor: 2.097

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.