Literature DB >> 8188719

The relationship between the structural and orthogonal compressive properties of trabecular bone.

R W Goulet1, S A Goldstein, M J Ciarelli, J L Kuhn, M B Brown, L A Feldkamp.   

Abstract

In this study, cubes of trabecular bone with a wide range of structural properties were scanned on a micro-computed tomography system to produce complete three-dimensional digitizations from which morphological and architectural parameters could be measured in a nondestructive manner. The cubes were then mechanically tested in uniaxial compression in three orthogonal directions and to failure in one direction to find the orthogonal tangent elastic moduli and ultimate strengths. After testing, the cubes were weighed and ashed to determine the apparent and ash densities. A high correlation between the basic stereologic measurements was found, indicating that there is a relationship between the amount of bone and number of trabeculae in cancellous bone. Regression analysis was used to estimate the modulus and ultimate strength; these regressions accounted for 68-90% of the variance in these measures. These relationships were dependent on the metaphyseal type and donor, with the modulus also dependent on the direction of testing. This indicates that the properties of the individual trabeculae, as well as their amount and organization, may be important in predicting the mechanical properties of cancellous bone.

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Year:  1994        PMID: 8188719     DOI: 10.1016/0021-9290(94)90014-0

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


  105 in total

1.  Predicting trabecular bone elastic properties from measures of bone volume fraction and fabric on the basis of micromagnetic resonance images.

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2.  Do regional modifications in tissue mineral content and microscopic mineralization heterogeneity adapt trabecular bone tracts for habitual bending? Analysis in the context of trabecular architecture of deer calcanei.

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3.  In situ parameter identification of optimal density-elastic modulus relationships in subject-specific finite element models of the proximal femur.

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4.  Three-dimensional texture analysis of cancellous bone cores evaluated at clinical CT resolutions.

Authors:  Chad Showalter; Bradley D Clymer; Bradford Richmond; Kimerly Powell
Journal:  Osteoporos Int       Date:  2005-09-17       Impact factor: 4.507

Review 5.  A biomechanical perspective on bone quality.

Authors:  C J Hernandez; T M Keaveny
Journal:  Bone       Date:  2006-07-28       Impact factor: 4.398

6.  Quantitative trait loci modulate vertebral morphology and mechanical properties in a population of 18-month-old genetically heterogeneous mice.

Authors:  Grant M Reeves; Barbara R McCreadie; Shu Chen; Andrzej T Galecki; David T Burke; Richard A Miller; Steven A Goldstein
Journal:  Bone       Date:  2006-10-13       Impact factor: 4.398

7.  Quantification of the roles of trabecular microarchitecture and trabecular type in determining the elastic modulus of human trabecular bone.

Authors:  Xiaowei S Liu; Paul Sajda; Punam K Saha; Felix W Wehrli; X Edward Guo
Journal:  J Bone Miner Res       Date:  2006-10       Impact factor: 6.741

8.  Ultrasound simulation in the distal radius using clinical high-resolution peripheral-CT images.

Authors:  Vincent Le Floch; Donald J McMahon; Gangming Luo; Adi Cohen; Jonathan J Kaufman; Elizabeth Shane; Robert S Siffert
Journal:  Ultrasound Med Biol       Date:  2008-03-14       Impact factor: 2.998

9.  Fast trabecular bone strength predictions of HR-pQCT and individual trabeculae segmentation-based plate and rod finite element model discriminate postmenopausal vertebral fractures.

Authors:  X Sherry Liu; Ji Wang; Bin Zhou; Emily Stein; Xiutao Shi; Mark Adams; Elizabeth Shane; X Edward Guo
Journal:  J Bone Miner Res       Date:  2013-07       Impact factor: 6.741

10.  Guidelines for Dual Energy X-Ray Absorptiometry Analysis of Trabecular Bone-Rich Regions in Mice: Improved Precision, Accuracy, and Sensitivity for Assessing Longitudinal Bone Changes.

Authors:  Jiayu Shi; Soonchul Lee; Michael Uyeda; Justine Tanjaya; Jong Kil Kim; Hsin Chuan Pan; Patricia Reese; Louis Stodieck; Andy Lin; Kang Ting; Jin Hee Kwak; Chia Soo
Journal:  Tissue Eng Part C Methods       Date:  2016-04-15       Impact factor: 3.056

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