Literature DB >> 22430313

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

Egon Perilli1, Andrew M Briggs, Susan Kantor, John Codrington, John D Wark, Ian H Parkinson, Nicola L Fazzalari.   

Abstract

Significant relationships exist between areal bone mineral density (BMD) derived from dual energy X-ray absorptiometry (DXA) and bone strength. However, the predictive validity of BMD for osteoporotic vertebral fractures remains suboptimal. The diagnostic sensitivity of DXA in the lumbar spine may be improved by assessing BMD from lateral-projection scans, as these might better approximate the objective of measuring the trabecular-rich bone in the vertebral body, compared to the commonly-used posterior-anterior (PA) projections. Nowadays, X-ray micro-computed tomography (μCT) allows non-destructive three-dimensional structural characterization of entire bone segments at high resolution. In this study, human lumbar cadaver spines were examined ex situ by DXA in lateral and PA projections, as well as by μCT, with the aims (1) to investigate the ability of bone quantity measurements obtained by DXA in the lateral projection and in the PA projection, to predict variations in bone quantity measurements obtained by μCT, and (2) to assess their respective capabilities to predict whole vertebral body strength, determined experimentally. Human cadaver spines were scanned by DXA in PA projections and lateral projections. Bone mineral content (BMC) and BMD for L2 and L3 vertebrae were determined. The L2 and L3 vertebrae were then dissected and entirely scanned by μCT. Total bone volume (BV(tot)=cortical+trabecular), trabecular bone volume (BV), and trabecular bone volume fraction (BV/TV) were calculated over the entire vertebrae. The vertebral bodies were then mechanically tested to failure in compression, to determine ultimate load. The variables BV(tot), BV, and BV/TV measured by μCT were better predicted by BMC and BMD measured by lateral-projection DXA, with higher R(2) values and smaller standard errors of the estimate (R(2)=0.65-0.90, SEE=11%-18%), compared to PA-projection DXA (R(2)=0.33-0.53, SEE=22%-34%). The best predictors of ultimate load were BV(tot) and BV assessed by μCT (R(2)=0.88 and R(2)=0.81, respectively), and BMC and BMD from lateral-projection DXA (R(2)=0.82 and R(2)=0.70, respectively). Conversely, BMC and BMD from PA-projection DXA were lower predictors of ultimate load (R(2)=0.49 and R(2)=0.37, respectively). This ex vivo study highlights greater capabilities of lateral-projection DXA to predict variations in vertebral body bone quantity as measured by μCT, and to predict vertebral strength as assessed experimentally, compared to PA-projection DXA. This provides basis for further exploring the clinical application of lateral-projection DXA analysis.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22430313     DOI: 10.1016/j.bone.2012.03.002

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


  25 in total

1.  Optimal sample volumes of human trabecular bone in μCT analysis within vertebral body and femoral head.

Authors:  Xin-Xin Wen; Chun-Lin Zong; Chao Xu; Xiang-Yu Ma; Fa-Qi Wang; Ya-Fei Feng; Ya-Bo Yan; Wei Lei
Journal:  Int J Clin Exp Med       Date:  2015-10-15

2.  Locally measured microstructural parameters are better associated with vertebral strength than whole bone density.

Authors:  J Hazrati Marangalou; F Eckstein; V Kuhn; K Ito; M Cataldi; F Taddei; B van Rietbergen
Journal:  Osteoporos Int       Date:  2013-12-04       Impact factor: 4.507

3.  The ratio of anterior and posterior vertebral heights reinforces the utility of DXA in assessment of vertebrae strength.

Authors:  Grzegorz Tatoń; Eugeniusz Rokita; Mariusz Korkosz; Andrzej Wróbel
Journal:  Calcif Tissue Int       Date:  2014-05-23       Impact factor: 4.333

4.  Modic (endplate) changes in the lumbar spine: bone micro-architecture and remodelling.

Authors:  Egon Perilli; Ian H Parkinson; Le-Hoa Truong; Kuan C Chong; Nicola L Fazzalari; Orso L Osti
Journal:  Eur Spine J       Date:  2014-07-26       Impact factor: 3.134

5.  Three-dimensional cortical and trabecular bone microstructure of the proximal ulna.

Authors:  Jetske Viveen; Egon Perilli; Shima Zahrooni; Ruurd L Jaarsma; Job N Doornberg; Gregory I Bain
Journal:  Arch Orthop Trauma Surg       Date:  2021-07-05       Impact factor: 3.067

6.  Novel Genetic Variants Associated With Increased Vertebral Volumetric BMD, Reduced Vertebral Fracture Risk, and Increased Expression of SLC1A3 and EPHB2.

Authors:  Carrie M Nielson; Ching-Ti Liu; Albert V Smith; Cheryl L Ackert-Bicknell; Sjur Reppe; Johanna Jakobsdottir; Christina Wassel; Thomas C Register; Ling Oei; Nerea Alonso; Edwin H Oei; Neeta Parimi; Elizabeth J Samelson; Mike A Nalls; Joseph Zmuda; Thomas Lang; Mary Bouxsein; Jeanne Latourelle; Melina Claussnitzer; Kristin Siggeirsdottir; Priya Srikanth; Erik Lorentzen; Liesbeth Vandenput; Carl Langefeld; Laura Raffield; Greg Terry; Amanda J Cox; Matthew A Allison; Michael H Criqui; Don Bowden; M Arfan Ikram; Dan Mellström; Magnus K Karlsson; John Carr; Matthew Budoff; Caroline Phillips; L Adrienne Cupples; Wen-Chi Chou; Richard H Myers; Stuart H Ralston; Kaare M Gautvik; Peggy M Cawthon; Steven Cummings; David Karasik; Fernando Rivadeneira; Vilmundur Gudnason; Eric S Orwoll; Tamara B Harris; Claes Ohlsson; Douglas P Kiel; Yi-Hsiang Hsu
Journal:  J Bone Miner Res       Date:  2016-09-06       Impact factor: 6.741

7.  In vivo microdamage is an indicator of susceptibility to initiation and propagation of microdamage in human femoral trabecular bone.

Authors:  Ziheng Wu; Anthony J Laneve; Glen L Niebur
Journal:  Bone       Date:  2013-02-28       Impact factor: 4.398

8.  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

9.  Applicability of ToF-SIMS for monitoring compositional changes in bone in a long-term animal model.

Authors:  Anja Henss; Marcus Rohnke; Thaqif El Khassawna; Parameswari Govindarajan; Gudrun Schlewitz; Christian Heiss; Juergen Janek
Journal:  J R Soc Interface       Date:  2013-07-17       Impact factor: 4.118

10.  The intravertebral distribution of bone density: correspondence to intervertebral disc health and implications for vertebral strength.

Authors:  A I Hussein; T M Jackman; S R Morgan; G D Barest; E F Morgan
Journal:  Osteoporos Int       Date:  2013-07-18       Impact factor: 4.507

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