Literature DB >> 30055841

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

Xuanliang Neil Dong1, Yongtao Lu2, Matthias Krause3, Gerd Huber4, Yan Chevalier5, Huijie Leng6, Ghislain Maquer7.   

Abstract

Ancillary evaluation of spinal Dual-energy X-ray Absorptiometry (DXA) via variogram-based texture evaluation (e.g., Trabecular Bone Score) is used for improving the fracture risk assessment, despite no proven relationship with vertebral strength. The purpose of this study was thus to determine whether classical variogram-based parameters (sill variance and correlation length) evaluated from simulated DXA scans could help predicting the in vitro vertebral strength. Experimental data of thirteen human full vertebrae (i.e., with posterior elements) and twelve vertebral bodies were obtained from two existing studies. Areal bone mineral density (aBMD) was calculated from 2D projection images of the 3D HR-pQCT scan of the specimens mimicking clinical DXA scans. Stochastic predictors, sill variance and correlation length, were calculated from their experimental variogram. Vertebral strength was measured as the maximum failure load of human vertebrae and vertebral bodies from mechanical tests. Vertebral strength correlated significantly with sill variance (r = 0.727) and correlation length (r = 0.727) for the vertebral bodies, and with correlation length (r = 0.593) for full vertebrae. However, the stochastic predictors improved the strength prediction made by aBMD alone by only 11% for the vertebral bodies while no improvement was observed for the full vertebrae. Despite a correlation, classical variogram parameters such as sill variance and correlation length do not enhance the prediction of in vitro vertebral strength beyond aBMD. It remains unclear why some variogram-based evaluations of DXA improve fracture prediction without a proven relationship with vertebral strength.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bone mineral density (BMD); Dual-energy X-ray absorptiometry (DXA); Experimental variogram; Human vertebrae; Osteoporosis

Mesh:

Year:  2018        PMID: 30055841      PMCID: PMC6091628          DOI: 10.1016/j.jbiomech.2018.07.009

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


  21 in total

1.  Lumbar vertebral body compressive strength evaluated by dual-energy X-ray absorptiometry, quantitative computed tomography, and ashing.

Authors:  E N Ebbesen; J S Thomsen; H Beck-Nielsen; H J Nepper-Rasmussen; L Mosekilde
Journal:  Bone       Date:  1999-12       Impact factor: 4.398

2.  Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture.

Authors:  Laurent Pothuaud; Pascal Carceller; Didier Hans
Journal:  Bone       Date:  2008-01-29       Impact factor: 4.398

3.  Trabecular bone score (TBS): Method and applications.

Authors:  P Martineau; W D Leslie
Journal:  Bone       Date:  2017-02-01       Impact factor: 4.398

4.  QCT-based finite element models predict human vertebral strength in vitro significantly better than simulated DEXA.

Authors:  E Dall'Ara; D Pahr; P Varga; F Kainberger; P Zysset
Journal:  Osteoporos Int       Date:  2011-02-23       Impact factor: 4.507

5.  Failure strength of human vertebrae: prediction using bone mineral density measured by DXA and bone volume by micro-CT.

Authors:  Egon Perilli; Andrew M Briggs; Susan Kantor; John Codrington; John D Wark; Ian H Parkinson; Nicola L Fazzalari
Journal:  Bone       Date:  2012-03-10       Impact factor: 4.398

6.  Random field assessment of nanoscopic inhomogeneity of bone.

Authors:  X Neil Dong; Qing Luo; Daniel M Sparkman; Harry R Millwater; Xiaodu Wang
Journal:  Bone       Date:  2010-09-15       Impact factor: 4.398

7.  Prevention and management of osteoporosis.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2003

8.  Evaluation of the potential use of trabecular bone score to complement bone mineral density in the diagnosis of osteoporosis: a preliminary spine BMD-matched, case-control study.

Authors:  Laurent Pothuaud; Nicole Barthe; Marc-Antoine Krieg; Nadia Mehsen; Pascal Carceller; Didier Hans
Journal:  J Clin Densitom       Date:  2009-01-31       Impact factor: 2.617

9.  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

10.  Automated simulation of areal bone mineral density assessment in the distal radius from high-resolution peripheral quantitative computed tomography.

Authors:  A J Burghardt; G J Kazakia; T M Link; S Majumdar
Journal:  Osteoporos Int       Date:  2009-03-28       Impact factor: 4.507

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