Literature DB >> 16995749

Sensitivity of vertebral compressive strength to endplate loading distribution.

Jenni M Buckley1, Danny C Leang, Tony M Keaveny.   

Abstract

The sensitivity of vertebral body strength to the distribution of axial forces along the endplate has not been comprehensively evaluated. Using quantitative computed tomography-based finite element models of 13 vertebral bodies, an optimization analysis was performed to determine the endplate force distributions that minimized (lower bound) and maximized (upper bound) vertebral strength for a given set of externally applied axial compressive loads. Vertebral strength was also evaluated for three generic boundary conditions: uniform displacement, uniform force, and a nonuniform force distribution in which the interior of the endplate was loaded with a force that was 1.5 times greater than the periphery. Our results showed that the relative difference between the upper and lower bounds on vertebral strength was 14.2 +/- 7.0% (mean +/- SD). While there was a weak trend for the magnitude of the strength bounds to be inversely proportional to bone mineral density (R2 = 0.32, p = 0.02), both upper and lower bound vertebral strength measures were well predicted by the strength response under uniform displacement loading conditions (R2 = 0.91 and R2 = 0.99, respectively). All three generic boundary conditions resulted in vertebral strength values that were statistically indistinguishable from the loading condition that resulted in an upper bound on strength. The results of this study indicate that the uncertainty in strength arising from the unknown condition of the disc is dependent on the condition of the bone (whether it is osteoporotic or normal). Although bone mineral density is not a good predictor of strength sensitivity, vertebral strength under generic boundary conditions, i.e., uniform displacement or force, was strongly correlated with the relative magnitude of the strength bounds. Thus, explicit disc modeling may not be necessary.

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Year:  2006        PMID: 16995749     DOI: 10.1115/1.2241637

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  7 in total

1.  Locations of bone tissue at high risk of initial failure during compressive loading of the human vertebral body.

Authors:  Senthil K Eswaran; Atul Gupta; Tony M Keaveny
Journal:  Bone       Date:  2007-06-19       Impact factor: 4.398

2.  Sensitivity of patient-specific vertebral finite element model from low dose imaging to material properties and loading conditions.

Authors:  Christophe Travert; Erwan Jolivet; Emilie Sapin-de Brosses; David Mitton; Wafa Skalli
Journal:  Med Biol Eng Comput       Date:  2011-09-17       Impact factor: 2.602

3.  Stiffness of the endplate boundary layer and endplate surface topography are associated with brittleness of human whole vertebral bodies.

Authors:  Srikant Nekkanty; Janardhan Yerramshetty; Do-Gyoon Kim; Roger Zauel; Evan Johnson; Dianna D Cody; Yener N Yeni
Journal:  Bone       Date:  2010-07-12       Impact factor: 4.398

4.  A Three-Dimensional Cement Quantification Method for Decision Prediction of Vertebral Recompression after Vertebroplasty.

Authors:  Yanming Zhang; Tao Zhang; Xiang Ge; Yong Ma; Zhenduo Cui; Shuilin Wu; Yanqin Liang; Shengli Zhu; Zhaoyang Li
Journal:  Comput Math Methods Med       Date:  2022-05-12       Impact factor: 2.809

5.  Presence of intervertebral discs alters observed stiffness and failure mechanisms in the vertebra.

Authors:  Amira I Hussein; Zachary D Mason; Elise F Morgan
Journal:  J Biomech       Date:  2013-05-14       Impact factor: 2.712

6.  Biomechanics of thoracolumbar junction vertebral fractures from various kinematic conditions.

Authors:  Léo Fradet; Yvan Petit; Eric Wagnac; Carl-Eric Aubin; Pierre-Jean Arnoux
Journal:  Med Biol Eng Comput       Date:  2013-10-29       Impact factor: 2.602

7.  Prediction of lumbar vertebral body compressive strength of overweight and obese older adults using morphed subject-specific finite-element models to evaluate the effects of weight loss.

Authors:  Samantha L Schoell; Kristen M Beavers; Daniel P Beavers; Leon Lenchik; Anthony P Marsh; W Jack Rejeski; Joel D Stitzel; Ashley A Weaver
Journal:  Aging Clin Exp Res       Date:  2018-07-24       Impact factor: 3.636

  7 in total

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