Literature DB >> 10430460

Risk of fracture in elderly patients: a new predictive index based on bone mineral density and finite element analysis.

D Testi1, M Viceconti, F Baruffaldi, A Cappello.   

Abstract

Hip fracture is more and more frequent in elderly population. For this reason, an increasing attention has been focused on the development of a non-invasive method to predict femoral neck fracture. A conventional approach to fracture diagnosis is the measurement of bone mass by dual-energy X-ray absorptiometry in some regions of interest. The aim of this work is to assess a method that accounts for the structural details of the bone providing a more direct determination of strength properties, and improving the diagnostic power of the current densitometric systems. A 2D finite element model of the proximal femur is derived from dual-energy X-ray absorptiometry data. Initially, the method is validated in vitro using a replica of the human femur. The predicted results are compared to strain-gauge measurements and to a 3D finite element model, with good agreement being observed. Then, an in vivo preliminary study on a limited group of patients is carried out. The loading condition that simulates a fall to the side onto the greater trochanter from standing height is employed. All simulations show a peak strain at the femoral neck region with a strain distribution typical of a fall on the side. The proposed method seems to supply a useful tool for the in vivo analysis of the risk of hip fracture.

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Year:  1999        PMID: 10430460     DOI: 10.1016/s0169-2607(99)00007-3

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  10 in total

1.  Can Hip Fracture Prediction in Women be Estimated beyond Bone Mineral Density Measurement Alone?

Authors:  Piet Geusens; Tineke van Geel; Joop van den Bergh
Journal:  Ther Adv Musculoskelet Dis       Date:  2010-04       Impact factor: 5.346

2.  Validated finite element models of the proximal femur using two-dimensional projected geometry and bone density.

Authors:  Jorn Op Den Buijs; Dan Dragomir-Daescu
Journal:  Comput Methods Programs Biomed       Date:  2010-12-14       Impact factor: 5.428

3.  Use of DXA-based structural engineering models of the proximal femur to discriminate hip fracture.

Authors:  Lang Yang; Nicola Peel; Jackie A Clowes; Eugene V McCloskey; Richard Eastell
Journal:  J Bone Miner Res       Date:  2009-01       Impact factor: 6.741

4.  Predictors of fracture from falls reported in hospital and residential care facilities: a cross-sectional study.

Authors:  Satyan Chari; Prue McRae; Paul Varghese; Kaye Ferrar; Terry P Haines
Journal:  BMJ Open       Date:  2013-08-01       Impact factor: 2.692

5.  Characterization of complex, co-adapted skeletal biomechanics phenotypes: a needed paradigm shift in the genetics of bone structure and function.

Authors:  L M Havill; H B Coan; M C Mahaney; D P Nicolella
Journal:  Curr Osteoporos Rep       Date:  2014-06       Impact factor: 5.096

6.  Study of DXA-derived lateral-medial cortical bone thickness in assessing hip fracture risk.

Authors:  Yujia Long; William D Leslie; Yunhua Luo
Journal:  Bone Rep       Date:  2015-04-08

Review 7.  Are CT-Based Finite Element Model Predictions of Femoral Bone Strength Clinically Useful?

Authors:  Marco Viceconti; Muhammad Qasim; Pinaki Bhattacharya; Xinshan Li
Journal:  Curr Osteoporos Rep       Date:  2018-06       Impact factor: 5.096

8.  Biomechanical optimization of different fixation modes for a proximal femoral L-osteotomy.

Authors:  Ching-Lung Tai; Weng-Pin Chen; Hsih-Hao Chen; Chien-Yu Lin; Mel S Lee
Journal:  BMC Musculoskelet Disord       Date:  2009-09-10       Impact factor: 2.362

9.  Prediction of incident hip fracture with the estimated femoral strength by finite element analysis of DXA Scans in the study of osteoporotic fractures.

Authors:  Lang Yang; Lisa Palermo; Dennis M Black; Richard Eastell
Journal:  J Bone Miner Res       Date:  2014-12       Impact factor: 6.741

10.  Assessment of Hip Fracture Risk Using Cross-Section Strain Energy Determined by QCT-Based Finite Element Modeling.

Authors:  Hossein Kheirollahi; Yunhua Luo
Journal:  Biomed Res Int       Date:  2015-10-25       Impact factor: 3.411

  10 in total

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