Literature DB >> 21052839

Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip.

Dan Dragomir-Daescu1, Jorn Op Den Buijs, Sean McEligot, Yifei Dai, Rachel C Entwistle, Christina Salas, L Joseph Melton, Kevin E Bennet, Sundeep Khosla, Shreyasee Amin.   

Abstract

Clinical implementation of quantitative computed tomography-based finite element analysis (QCT/FEA) of proximal femur stiffness and strength to assess the likelihood of proximal femur (hip) fractures requires a unified modeling procedure, consistency in predicting bone mechanical properties, and validation with realistic test data that represent typical hip fractures, specifically, a sideways fall on the hip. We, therefore, used two sets (n = 9, each) of cadaveric femora with bone densities varying from normal to osteoporotic to build, refine, and validate a new class of QCT/FEA models for hip fracture under loading conditions that simulate a sideways fall on the hip. Convergence requirements of finite element models of the first set of femora led to the creation of a new meshing strategy and a robust process to model proximal femur geometry and material properties from QCT images. We used a second set of femora to cross-validate the model parameters derived from the first set. Refined models were validated experimentally by fracturing femora using specially designed fixtures, load cells, and high speed video capture. CT image reconstructions of fractured femora were created to classify the fractures. The predicted stiffness (cross-validation R (2) = 0.87), fracture load (cross-validation R (2) = 0.85), and fracture patterns (83% agreement) correlated well with experimental data.

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Year:  2010        PMID: 21052839      PMCID: PMC3870095          DOI: 10.1007/s10439-010-0196-y

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  28 in total

1.  Trabecular bone modulus-density relationships depend on anatomic site.

Authors:  Elise F Morgan; Harun H Bayraktar; Tony M Keaveny
Journal:  J Biomech       Date:  2003-07       Impact factor: 2.712

2.  Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue.

Authors:  Harun H Bayraktar; Elise F Morgan; Glen L Niebur; Grayson E Morris; Eric K Wong; Tony M Keaveny
Journal:  J Biomech       Date:  2004-01       Impact factor: 2.712

3.  Contribution of inter-site variations in architecture to trabecular bone apparent yield strains.

Authors:  Elise F Morgan; Harun H Bayraktar; Oscar C Yeh; Sharmila Majumdar; Andrew Burghardt; Tony M Keaveny
Journal:  J Biomech       Date:  2004-09       Impact factor: 2.712

4.  Prediction of fracture location in the proximal femur using finite element models.

Authors:  J H Keyak; S A Rossi; K A Jones; C M Les; H B Skinner
Journal:  Med Eng Phys       Date:  2001-11       Impact factor: 2.242

Review 5.  The fallacy of BMD: a critical review of the diagnostic use of dual X-ray absorptiometry.

Authors:  S P Nielsen
Journal:  Clin Rheumatol       Date:  2000       Impact factor: 2.980

6.  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

Review 7.  Epidemiology and outcomes of osteoporotic fractures.

Authors:  Steven R Cummings; L Joseph Melton
Journal:  Lancet       Date:  2002-05-18       Impact factor: 79.321

Review 8.  Bone microarchitecture as an important determinant of bone strength.

Authors:  L Dalle Carbonare; S Giannini
Journal:  J Endocrinol Invest       Date:  2004-01       Impact factor: 4.256

9.  Femoroplasty-augmentation of mechanical properties in the osteoporotic proximal femur: a biomechanical investigation of PMMA reinforcement in cadaver bones.

Authors:  Paul F Heini; Torsten Franz; Christoph Fankhauser; Beat Gasser; R Ganz
Journal:  Clin Biomech (Bristol, Avon)       Date:  2004-06       Impact factor: 2.063

10.  During sideways falls proximal femur fractures initiate in the superolateral cortex: evidence from high-speed video of simulated fractures.

Authors:  Peter M de Bakker; Sarah L Manske; Vincent Ebacher; Thomas R Oxland; Peter A Cripton; Pierre Guy
Journal:  J Biomech       Date:  2009-06-13       Impact factor: 2.712

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  52 in total

Review 1.  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

2.  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

3.  Subject-specific planning of femoroplasty: a combined evolutionary optimization and particle diffusion model approach.

Authors:  Ehsan Basafa; Mehran Armand
Journal:  J Biomech       Date:  2014-05-14       Impact factor: 2.712

Review 4.  Sideways fall-induced impact force and its effect on hip fracture risk: a review.

Authors:  M Nasiri Sarvi; Y Luo
Journal:  Osteoporos Int       Date:  2017-07-20       Impact factor: 4.507

5.  QCT-based failure analysis of proximal femurs under various loading orientations.

Authors:  Majid Mirzaei; Maziyar Keshavarzian; Fatemeh Alavi; Pegah Amiri; Saeid Samiezadeh
Journal:  Med Biol Eng Comput       Date:  2015-03-03       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.  Potential of in vivo MRI-based nonlinear finite-element analysis for the assessment of trabecular bone post-yield properties.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

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.  Are DXA/aBMD and QCT/FEA Stiffness and Strength Estimates Sensitive to Sex and Age?

Authors:  Asghar Rezaei; Hugo Giambini; Timothy Rossman; Kent D Carlson; Michael J Yaszemski; Lichun Lu; Dan Dragomir-Daescu
Journal:  Ann Biomed Eng       Date:  2017-09-22       Impact factor: 3.934

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