Literature DB >> 8806063

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

J H Keyak1, I Y Lee, D S Nath, H B Skinner.   

Abstract

To obtain information describing the postfailure behavior of human proximal tibial trabecular bone, cube specimens of bone were mechanically tested in compression beyond the point of failure. Tests were performed in the three anatomic directions, plots of stress versus strain were obtained, and measures to describe the stress-strain relations before, during, and after failure were defined. These measures included elastic modulus, strength, postfailure slope, strain during maximum stress, and first postfailure minimum stress. For each anatomic direction, analyses were performed to correlate these parameters with ash density. Each of these measures was significantly correlated with ash density at the p < 0.05 level for all test directions, except for postfailure slope, which was correlated in the mediolateral and superior-inferior directions, and strain during maximum stress, which was correlated only in the superior-inferior direction. The data from this study enable trilinear stress-strain relations to be estimated for proximal tibial trabecular bone of various densities, and can serve as a first step toward modeling the behavior of trabecular bone before, during, and after failure.

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Year:  1996        PMID: 8806063     DOI: 10.1002/(SICI)1097-4636(199607)31:3<373::AID-JBM11>3.0.CO;2-K

Source DB:  PubMed          Journal:  J Biomed Mater Res        ISSN: 0021-9304


  8 in total

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

Authors:  J H Keyak; 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
Journal:  Bone       Date:  2013-07-29       Impact factor: 4.398

2.  Computed Tomography-Based Stiffness Measures of Trabecular Bone Microstructure: Cadaveric Validation and In Vivo Application.

Authors:  Indranil Guha; Xialiou Zhang; Chamith S Rajapakse; Elena M Letuchy; Gregory Chang; Kathleen F Janz; James C Torner; Steven M Levy; Punam K Saha
Journal:  JBMR Plus       Date:  2022-05-05

3.  Implications of local osteoporosis on the efficacy of anti-resorptive drug treatment: a 3-year follow-up finite element study in risedronate-treated women.

Authors:  D Anitha; K J Kim; S-K Lim; T Lee
Journal:  Osteoporos Int       Date:  2013-07-02       Impact factor: 4.507

4.  Hip load capacity and yield load in men and women of all ages.

Authors:  J H Keyak; T S Kaneko; S Khosla; S Amin; E J Atkinson; T F Lang; J D Sibonga
Journal:  Bone       Date:  2020-03-14       Impact factor: 4.398

5.  Risk of vertebral compression fractures in multiple myeloma patients: A finite-element study.

Authors:  D Anitha; Thomas Baum; Jan S Kirschke; Karupppasamy Subburaj
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

6.  Standardizing compression testing for measuring the stiffness of human bone.

Authors:  S Zhao; M Arnold; S Ma; R L Abel; J P Cobb; U Hansen; O Boughton
Journal:  Bone Joint Res       Date:  2018-09-15       Impact factor: 5.853

Review 7.  Finite element models for fracture prevention in patients with metastatic bone disease. A literature review.

Authors:  Amelie Sas; Esther Tanck; An Sermon; G Harry van Lenthe
Journal:  Bone Rep       Date:  2020-05-26

8.  Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling.

Authors:  Indranil Guha; Xiaoliu Zhang; Chamith S Rajapakse; Gregory Chang; Punam K Saha
Journal:  Med Phys       Date:  2022-04-05       Impact factor: 4.506

  8 in total

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