Literature DB >> 18052756

In vivo determination of bone structure in postmenopausal women: a comparison of HR-pQCT and high-field MR imaging.

Galateia J Kazakia1, Benedict Hyun, Andrew J Burghardt, Roland Krug, David C Newitt, Anne E de Papp, Thomas M Link, Sharmila Majumdar.   

Abstract

UNLABELLED: Bone structural measures obtained by two noninvasive imaging tools-3T MRI and HR-pQCT-were compared. Significant but moderate correlations and 2- to 4-fold discrepancies in parameter values were detected, suggesting that differences in acquisition and analysis must be considered when interpreting data from these imaging modalities.
INTRODUCTION: High-field MRI and high resolution (HR)-pQCT are currently being used in longitudinal bone structure studies. Substantial differences in acquisition and analysis between these modalities may influence the quantitative data produced and could potentially influence clinical decisions based on their results. Our goal was to compare trabecular and cortical bone structural measures obtained in vivo by 3T MRI and HR-pQCT.
MATERIALS AND METHODS: Postmenopausal osteopenic women (n = 52) were recruited for this study. HR-pQCT imaging of the radius and tibia was performed using the XtremeCT scanner, with a voxel size of 82 x 82 x 82 microm(3). MR imaging was performed on a 3T Signa scanner using SSFP imaging sequences, with a pixel size of 156 x 156 microm(2) and slice thickness of 500 microm. Structure parameters were calculated using standard HR-pQCT and MRI analysis techniques. Relationships between measures derived from HR-pQCT, MRI, and DXA were studied.
RESULTS: Significant correlations between HR-pQCT and MRI parameters were found (p < 0.0001) and were strongest for Tb.N (r(2) = 0.52), Ct.Th (r(2) = 0.59), and site-specific Tb.Sp (r(2) = 0.54-0.60). MRI and HR-pQCT provided statistically different values of structure parameters (p < 0.0001), with BV/TV and Tb.Th exhibiting the largest discrepancies (MR/HR-pQCT = 3-4). Although differences in the Tb.N values were statistically significant, the mean differences were on the order of our reproducibility measurements. Systematic differences between MRI and HR-pQCT analysis procedures leading to discrepancies in cortical thickness values were observed, with MRI values consistently higher. Minimal correlations were found between MRI or HR-pQCT parameters and DXA BMD or T-score, except between HR-pQCT measures at the radius and the ultradistal radius T-scores, where moderate correlations were found (r(2) = 0.19-0.58).
CONCLUSIONS: This study provides unique insight into two emerging noninvasive tools for bone structure evaluation. Our findings highlight the significant influence of analysis technique on results of in vivo assessment and underscore the importance of accounting for these differences when interpreting results from these modalities.

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Year:  2008        PMID: 18052756     DOI: 10.1359/jbmr.071116

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  66 in total

1.  Soft tissue variations influence HR-pQCT density measurements in a spatially dependent manner.

Authors:  Po-Hung Wu; Tanvi Gupta; Hanling Chang; Dimitry Petrenko; Anne Schafer; Galateia Kazakia
Journal:  Bone       Date:  2020-06-27       Impact factor: 4.398

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

Authors:  Michael J Wald; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Magn Reson Med       Date:  2011-12-08       Impact factor: 4.668

3.  Short-term in vivo precision of BMD and parameters of trabecular architecture at the distal forearm and tibia.

Authors:  K Engelke; B Stampa; W Timm; B Dardzinski; A E de Papp; H K Genant; T Fuerst
Journal:  Osteoporos Int       Date:  2011-12-06       Impact factor: 4.507

4.  The effect of voxel size on high-resolution peripheral computed tomography measurements of trabecular and cortical bone microstructure.

Authors:  Willy Tjong; Galateia J Kazakia; Andrew J Burghardt; Sharmila Majumdar
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

5.  Variations in morphological and biomechanical indices at the distal radius in subjects with identical BMD.

Authors:  Galateia J Kazakia; Andrew J Burghardt; Thomas M Link; Sharmila Majumdar
Journal:  J Biomech       Date:  2010-11-10       Impact factor: 2.712

6.  Finite element analysis applied to 3-T MR imaging of proximal femur microarchitecture: lower bone strength in patients with fragility fractures compared with control subjects.

Authors:  Gregory Chang; Stephen Honig; Ryan Brown; Cem M Deniz; Kenneth A Egol; James S Babb; Ravinder R Regatte; Chamith S Rajapakse
Journal:  Radiology       Date:  2014-04-02       Impact factor: 11.105

7.  Quantitative characterization of subject motion in HR-pQCT images of the distal radius and tibia.

Authors:  Miki Sode; Andrew J Burghardt; Jean-Baptiste Pialat; Thomas M Link; Sharmila Majumdar
Journal:  Bone       Date:  2011-03-21       Impact factor: 4.398

8.  Local bone enhancement fuzzy clustering for segmentation of MR trabecular bone images.

Authors:  Jenny Folkesson; Julio Carballido-Gamio; Felix Eckstein; Thomas M Link; Sharmila Majumdar
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

9.  Postmenopausal women treated with combination parathyroid hormone (1-84) and ibandronate demonstrate different microstructural changes at the radius vs. tibia: the PTH and Ibandronate Combination Study (PICS).

Authors:  A L Schafer; A J Burghardt; D E Sellmeyer; L Palermo; D M Shoback; S Majumdar; D M Black
Journal:  Osteoporos Int       Date:  2013-04-16       Impact factor: 4.507

10.  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

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