Literature DB >> 23756232

Biomechanical properties and microarchitecture parameters of trabecular bone are correlated with stochastic measures of 2D projection images.

Xuanliang N Dong1, Mukul Shirvaikar, Xiaodu Wang.   

Abstract

It is well known that loss of bone mass, quantified by areal bone mineral density (aBMD) using DXA, is associated with the increasing risk of bone fractures. However, bone mineral density alone cannot fully explain changes in fracture risks. On top of bone mass, bone architecture has been identified as another key contributor to fracture risk. In this study, we used a novel stochastic approach to assess the distribution of aBMD from 2D projection images of Micro-CT scans of trabecular bone specimens at a resolution comparable to DXA images. Sill variance, a stochastic measure of distribution of aBMD, had significant relationships with microarchitecture parameters of trabecular bone, including bone volume fraction, bone surface-to-volume ratio, trabecular thickness, trabecular number, trabecular separation and anisotropy. Accordingly, it showed significantly positive correlations with strength and elastic modulus of trabecular bone. Moreover, a combination of aBMD and sill variance derived from the 2D projection images (R2=0.85) predicted bone strength better than using aBMD alone (R2=0.63). Thus, it would be promising to extend the stochastic approach to routine DXA scans to assess the distribution of aBMD, offering a more clinically significant technique for predicting risks of bone fragility fractures. Published by Elsevier Inc.

Entities:  

Keywords:  DXA; Distribution of areal bone mineral density; Experimental variogram; Sill variance; Trabecular bone

Mesh:

Year:  2013        PMID: 23756232      PMCID: PMC3755113          DOI: 10.1016/j.bone.2013.05.023

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  51 in total

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Journal:  Osteoporos Int       Date:  2004-12-23       Impact factor: 4.507

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Authors:  Elisabeth Sornay-Rendu; Françoise Munoz; François Duboeuf; Pierre D Delmas
Journal:  J Bone Miner Res       Date:  2005-07-11       Impact factor: 6.741

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  6 in total

1.  THE MEASUREMENT OF BONE QUALITY USING GRAY LEVEL CO-OCCURRENCE MATRIX TEXTURAL FEATURES.

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Authors:  Mukul Shirvaikar; Yamuna Lagadapati; Xuanliang Dong
Journal:  J Real Time Image Process       Date:  2016-06-14       Impact factor: 2.358

3.  Random field assessment of inhomogeneous bone mineral density from DXA scans can enhance the differentiation between postmenopausal women with and without hip fractures.

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4.  Variogram-based evaluations of DXA correlate with vertebral strength, but do not enhance the prediction compared to aBMD alone.

Authors:  Xuanliang Neil Dong; Yongtao Lu; Matthias Krause; Gerd Huber; Yan Chevalier; Huijie Leng; Ghislain Maquer
Journal:  J Biomech       Date:  2018-07-25       Impact factor: 2.712

5.  Bone Strength Estimated by Micro-Finite Element Analysis (µFEA) Is Heritable and Shares Genetic Predisposition With Areal BMD: The Framingham Study.

Authors:  David Karasik; Serkalem Demissie; Darlene Lu; Kerry E Broe; Steven K Boyd; Ching-Ti Liu; Yi-Hsiang Hsu; Mary L Bouxsein; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2017-07-19       Impact factor: 6.741

6.  Stochastic predictors from the DXA scans of human lumbar vertebrae are correlated with the microarchitecture parameters of trabecular bone.

Authors:  Xuanliang Neil Dong; Rajeshwar Pinninti; Amy Tvinnereim; Timothy Lowe; David Di Paolo; Mukul Shirvaikar
Journal:  J Biomech       Date:  2015-08-12       Impact factor: 2.712

  6 in total

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