Literature DB >> 28872111

Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position.

Dan Dragomir-Daescu1, Asghar Rezaei2, Timothy Rossman3, Susheil Uthamaraj3, Rachel Entwistle3, Sean McEligot3, Vincent Lambert3, Hugo Giambini4, Iwona Jasiuk5, Michael J Yaszemski4, Lichun Lu6.   

Abstract

Mechanical testing of femora brings valuable insights into understanding the contribution of clinically-measureable variables such as bone mineral density distribution and geometry on the femoral mechanical properties. Currently, there is no standard protocol for mechanical testing of such geometrically complex bones to measure strength, and stiffness. To address this gap we have developed a protocol to test cadaveric femora to fracture and to measure their biomechanical parameters. This protocol describes a set of adaptable fixtures to accommodate the various load magnitudes and directions accounting for possible bone orientations in a fall on the hip configuration, test speed, bone size, and left leg-right leg variations. The femora were prepared for testing by cleaning, cutting, scanning, and potting the distal end and greater trochanter contact surfaces in poly(methyl methacrylate) (PMMA) as presented in a different protocol. The prepared specimens were placed in the testing fixture in a position mimicking a sideways fall on the hip and loaded to fracture. During testing, two load cells measured vertical forces applied to the femoral head and greater trochanter, a six-axis load cell measured forces and moments at the distal femoral shaft, and a displacement sensor measured differential displacement between the femoral head and trochanter contact supports. High speed video cameras were used to synchronously record the sequence of fracture events during testing. The reduction of this data allowed us to characterize the strength, stiffness, and fracture energy for nearly 200 osteoporotic, osteopenic, and normal cadaveric femora for further development of engineering-based diagnostic tools for osteoporosis research.

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Year:  2017        PMID: 28872111      PMCID: PMC5614339          DOI: 10.3791/54928

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  15 in total

1.  Ct-based finite element models can be used to estimate experimentally measured failure loads in the proximal femur.

Authors:  Janne E M Koivumäki; Jérôme Thevenot; Pasi Pulkkinen; Volker Kuhn; Thomas M Link; Felix Eckstein; Timo Jämsä
Journal:  Bone       Date:  2012-01-28       Impact factor: 4.398

2.  Strain distribution in the proximal Human femur during in vitro simulated sideways fall.

Authors:  Lorenzo Zani; Paolo Erani; Lorenzo Grassi; Fulvia Taddei; Luca Cristofolini
Journal:  J Biomech       Date:  2015-03-20       Impact factor: 2.712

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

Authors:  Dan Dragomir-Daescu; Jorn Op Den Buijs; Sean McEligot; Yifei Dai; Rachel C Entwistle; Christina Salas; L Joseph Melton; Kevin E Bennet; Sundeep Khosla; Shreyasee Amin
Journal:  Ann Biomed Eng       Date:  2010-10-29       Impact factor: 3.934

4.  Effects of loading rate on strength of the proximal femur.

Authors:  A C Courtney; E F Wachtel; E R Myers; W C Hayes
Journal:  Calcif Tissue Int       Date:  1994-07       Impact factor: 4.333

5.  Comparison of explicit finite element and mechanical simulation of the proximal femur during dynamic drop-tower testing.

Authors:  O Ariza; S Gilchrist; R P Widmer; P Guy; S J Ferguson; P A Cripton; B Helgason
Journal:  J Biomech       Date:  2014-12-05       Impact factor: 2.712

6.  Assessment of the strength of proximal femur in vitro: relationship to femoral bone mineral density and femoral geometry.

Authors:  X G Cheng; G Lowet; S Boonen; P H Nicholson; P Brys; J Nijs; J Dequeker
Journal:  Bone       Date:  1997-03       Impact factor: 4.398

7.  Age-related reductions in the strength of the femur tested in a fall-loading configuration.

Authors:  A C Courtney; E F Wachtel; E R Myers; W C Hayes
Journal:  J Bone Joint Surg Am       Date:  1995-03       Impact factor: 5.284

8.  Femoral neck BMD is a strong predictor of hip fracture susceptibility in elderly men and women because it detects cortical bone instability: the Rotterdam Study.

Authors:  Fernando Rivadeneira; M Carola Zillikens; Chris Edh De Laet; Albert Hofman; André G Uitterlinden; Thomas J Beck; Huibert Ap Pols
Journal:  J Bone Miner Res       Date:  2007-11       Impact factor: 6.741

9.  Prediction of Hip Failure Load: In Vitro Study of 80 Femurs Using Three Imaging Methods and Finite Element Models-The European Fracture Study (EFFECT).

Authors:  Pierre Pottecher; Klaus Engelke; Laure Duchemin; Oleg Museyko; Thomas Moser; David Mitton; Eric Vicaut; Judith Adams; Wafa Skalli; Jean Denis Laredo; Valérie Bousson
Journal:  Radiology       Date:  2016-04-14       Impact factor: 11.105

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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  3 in total

1.  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

2.  Factors associated with proximal femur fracture determined in a large cadaveric cohort.

Authors:  Dan Dragomir-Daescu; Timothy L Rossman; Asghar Rezaei; Kent D Carlson; David F Kallmes; John A Skinner; Sundeep Khosla; Shreyasee Amin
Journal:  Bone       Date:  2018-08-08       Impact factor: 4.398

3.  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

  3 in total

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