Literature DB >> 17034798

Prediction of strength and strain of the proximal femur by a CT-based finite element method.

Masahiko Bessho1, Isao Ohnishi, Juntaro Matsuyama, Takuya Matsumoto, Kazuhiro Imai, Kozo Nakamura.   

Abstract

Hip fractures are the most serious complication of osteoporosis and have been recognized as a major public health problem. In elderly persons, hip fractures occur as a result of increased fragility of the proximal femur due to osteoporosis. It is essential to precisely quantify the strength of the proximal femur in order to estimate the fracture risk and plan preventive interventions. CT-based finite element analysis could possibly achieve precise assessment of the strength of the proximal femur. The purpose of this study was to create a simulation model that could accurately predict the strength and surface strains of the proximal femur using a CT-based finite element method and to verify the accuracy of our model by load testing using fresh frozen cadaver specimens. Eleven right femora were collected. The axial CT scans of the proximal femora were obtained with a calibration phantom, from which the 3D finite element models were constructed. Materially nonlinear finite element analyses were performed. The yield and fracture loads were calculated, while the sites where elements failed and the distributions of the principal strains were determined. The strain gauges were attached to the proximal femoral surfaces. A quasi-static compression test of each femur was conducted. The yield loads, fracture loads and principal strains of the prediction significantly correlated with those measured (r=0.941, 0.979, 0.963). Finite element analysis showed that the solid elements and shell elements in undergoing compressive failure were at the same subcapital region as the experimental fracture site.

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Year:  2006        PMID: 17034798     DOI: 10.1016/j.jbiomech.2006.08.003

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


  61 in total

1.  Stress distribution inside bone after suture anchor insertion: simulation using a three-dimensional finite element method.

Authors:  Hirotaka Sano; Atsushi Takahashi; Daisuke Chiba; Taku Hatta; Nobuyuki Yamamoto; Eiji Itoi
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2012-05-24       Impact factor: 4.342

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.  The Effect of Quantitative Computed Tomography Acquisition Protocols on Bone Mineral Density Estimation.

Authors:  Hugo Giambini; Dan Dragomir-Daescu; Paul M Huddleston; Jon J Camp; Kai-Nan An; Ahmad Nassr
Journal:  J Biomech Eng       Date:  2015-11       Impact factor: 2.097

Review 4.  Bone Imaging and Fracture Risk after Spinal Cord Injury.

Authors:  W Brent Edwards; Thomas J Schnitzer
Journal:  Curr Osteoporos Rep       Date:  2015-10       Impact factor: 5.096

5.  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

6.  Assessment of vertebral fracture risk and therapeutic effects of alendronate in postmenopausal women using a quantitative computed tomography-based nonlinear finite element method.

Authors:  K Imai; I Ohnishi; T Matsumoto; S Yamamoto; K Nakamura
Journal:  Osteoporos Int       Date:  2008-09-18       Impact factor: 4.507

7.  Development of a parametric finite element model of the proximal femur using statistical shape and density modelling.

Authors:  Daniel P Nicolella; Todd L Bredbenner
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-06-01       Impact factor: 1.763

8.  What makes an accurate and reliable subject-specific finite element model? A case study of an elephant femur.

Authors:  O Panagiotopoulou; S D Wilshin; E J Rayfield; S J Shefelbine; J R Hutchinson
Journal:  J R Soc Interface       Date:  2011-07-13       Impact factor: 4.118

9.  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

10.  Compressive axial mechanical properties of rat bone as functions of bone volume fraction, apparent density and micro-ct based mineral density.

Authors:  Esther Cory; Ara Nazarian; Vahid Entezari; Vartan Vartanians; Ralph Müller; Brian D Snyder
Journal:  J Biomech       Date:  2009-12-08       Impact factor: 2.712

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