Literature DB >> 23907032

Effect of finite element model loading condition on fracture risk assessment in men and women: the AGES-Reykjavik study.

J H Keyak1, S Sigurdsson, G S Karlsdottir, D Oskarsdottir, A Sigmarsdottir, J Kornak, T B Harris, G Sigurdsson, B Y Jonsson, K Siggeirsdottir, G Eiriksdottir, V Gudnason, T F Lang.   

Abstract

Proximal femoral (hip) strength computed by subject-specific CT scan-based finite element (FE) models has been explored as an improved measure for identifying subjects at risk of hip fracture. However, to our knowledge, no published study has reported the effect of loading condition on the association between incident hip fracture and hip strength. In the present study, we performed a nested age- and sex-matched case-control study in the Age Gene/Environment Susceptibility (AGES) Reykjavik cohort. Baseline (pre-fracture) quantitative CT (QCT) scans of 5500 older male and female subjects were obtained. During 4-7years follow-up, 51 men and 77 women sustained hip fractures. Ninety-seven men and 152 women were randomly selected as controls from a pool of age- and sex-matched subjects. From the QCT data, FE models employing nonlinear material properties computed FE-strength of the left hip of each subject in loading from a fall onto the posterolateral (FPL), posterior (FP) and lateral (FL) aspects of the greater trochanter (patent pending). For comparison, FE strength in stance loading (FStance) and total femur areal bone mineral density (aBMD) were also computed. For all loading conditions, the reductions in strength associated with fracture in men were more than twice those in women (p≤0.01). For fall loading specifically, posterolateral loading in men and posterior loading in women were most strongly associated with incident hip fracture. After adjusting for aBMD, the association between FP and fracture in women fell short of statistical significance (p=0.08), indicating that FE strength provides little advantage over aBMD for identifying female hip fracture subjects. However, in men, after controlling for aBMD, FPL was 424N (11%) less in subjects with fractures than in controls (p=0.003). Thus, in men, FE models of posterolateral loading include information about incident hip fracture beyond that in aBMD.
© 2013.

Entities:  

Keywords:  Bone strength; F(L); F(P); F(PL); F(Stance); FE; Femur; Finite element analysis; Hip fracture; L; Osteoporosis; P; PL; Quantitative computed tomography; finite element; finite element analysis-computed proximal femoral strength for loading representing a fall onto the lateral aspect of the greater trochanter; finite element analysis-computed proximal femoral strength for loading representing a fall onto the posterior aspect of the greater trochanter; finite element analysis-computed proximal femoral strength for loading representing a fall onto the posterolateral aspect of the greater trochanter; finite element analysis-computed proximal femoral strength for loading similar to that during single-limb stance; lateral; posterior; posterolateral

Mesh:

Year:  2013        PMID: 23907032      PMCID: PMC3786229          DOI: 10.1016/j.bone.2013.07.028

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  21 in total

1.  Mechanical properties, density and quantitative CT scan data of trabecular bone with and without metastases.

Authors:  Tadashi S Kaneko; Jason S Bell; Marina R Pejcic; Jamshid Tehranzadeh; Joyce H Keyak
Journal:  J Biomech       Date:  2004-04       Impact factor: 2.712

2.  The effect of impact direction on the structural capacity of the proximal femur during falls.

Authors:  C M Ford; T M Keaveny; W C Hayes
Journal:  J Bone Miner Res       Date:  1996-03       Impact factor: 6.741

3.  Impact direction from a fall influences the failure load of the proximal femur as much as age-related bone loss.

Authors:  T P Pinilla; K C Boardman; M L Bouxsein; E R Myers; W C Hayes
Journal:  Calcif Tissue Int       Date:  1996-04       Impact factor: 4.333

4.  Postfailure compressive behavior of tibial trabecular bone in three anatomic directions.

Authors:  J H Keyak; I Y Lee; D S Nath; H B Skinner
Journal:  J Biomed Mater Res       Date:  1996-07

5.  Improved prediction of proximal femoral fracture load using nonlinear finite element models.

Authors:  J H Keyak
Journal:  Med Eng Phys       Date:  2001-04       Impact factor: 2.242

6.  Prediction of femoral fracture load using automated finite element modeling.

Authors:  J H Keyak; S A Rossi; K A Jones; H B Skinner
Journal:  J Biomech       Date:  1998-02       Impact factor: 2.712

7.  Predicting proximal femoral strength using structural engineering models.

Authors:  Joyce H Keyak; Tadashi S Kaneko; Jamshid Tehranzadeh; Harry B Skinner
Journal:  Clin Orthop Relat Res       Date:  2005-08       Impact factor: 4.176

8.  Femoral strength is better predicted by finite element models than QCT and DXA.

Authors:  D D Cody; G J Gross; F J Hou; H J Spencer; S A Goldstein; D P Fyhrie
Journal:  J Biomech       Date:  1999-10       Impact factor: 2.712

9.  Relationships between material properties and CT scan data of cortical bone with and without metastatic lesions.

Authors:  Tadashi S Kaneko; Marina R Pejcic; Jamshid Tehranzadeh; Joyce H Keyak
Journal:  Med Eng Phys       Date:  2003-07       Impact factor: 2.242

10.  Use of DXA-based finite element analysis of the proximal femur in a longitudinal study of hip fracture.

Authors:  Kim E Naylor; Eugene V McCloskey; Richard Eastell; Lang Yang
Journal:  J Bone Miner Res       Date:  2013-05       Impact factor: 6.741

View more
  39 in total

1.  Automatic multi-parametric quantification of the proximal femur with quantitative computed tomography.

Authors:  Julio Carballido-Gamio; Serena Bonaretti; Isra Saeed; Roy Harnish; Robert Recker; Andrew J Burghardt; Joyce H Keyak; Tamara Harris; Sundeep Khosla; Thomas F Lang
Journal:  Quant Imaging Med Surg       Date:  2015-08

Review 2.  Computed tomography-based finite element analysis to assess fracture risk and osteoporosis treatment.

Authors:  Kazuhiro Imai
Journal:  World J Exp Med       Date:  2015-08-20

3.  Interactive graph-cut segmentation for fast creation of finite element models from clinical ct data for hip fracture prediction.

Authors:  Yves Pauchard; Thomas Fitze; Diego Browarnik; Amiraslan Eskandari; Irene Pauchard; William Enns-Bray; Halldór Pálsson; Sigurdur Sigurdsson; Stephen J Ferguson; Tamara B Harris; Vilmundur Gudnason; Benedikt Helgason
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-05-10       Impact factor: 1.763

4.  Where does hip fracture initiate?

Authors:  Philippe K Zysset
Journal:  Bonekey Rep       Date:  2014-12-03

Review 5.  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

6.  Multiscale Predictors of Femoral Neck In Situ Strength in Aging Women: Contributions of BMD, Cortical Porosity, Reference Point Indentation, and Nonenzymatic Glycation.

Authors:  Adam C Abraham; Avinesh Agarwalla; Aditya Yadavalli; Christopher McAndrew; Jenny Y Liu; Simon Y Tang
Journal:  J Bone Miner Res       Date:  2015-07-14       Impact factor: 6.741

Review 7.  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 8.  Micro-Finite Element Analysis of the Proximal Femur on the Basis of High-Resolution Magnetic Resonance Images.

Authors:  Chamith S Rajapakse; Gregory Chang
Journal:  Curr Osteoporos Rep       Date:  2018-12       Impact factor: 5.096

9.  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

10.  Spatial heterogeneity in the response of the proximal femur to two lower-body resistance exercise regimens.

Authors:  Thomas F Lang; Isra H Saeed; Timothy Streeper; Julio Carballido-Gamio; Roy J Harnish; Lynda A Frassetto; Stuart M C Lee; Jean D Sibonga; Joyce H Keyak; Barry A Spiering; Carlos M Grodsinsky; Jacob J Bloomberg; Peter R Cavanagh
Journal:  J Bone Miner Res       Date:  2014-06       Impact factor: 6.741

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.