Literature DB >> 17229586

Accuracy of high-resolution peripheral quantitative computed tomography for measurement of bone quality.

Joshua A MacNeil1, Steven K Boyd.   

Abstract

The introduction of three-dimensional high-resolution peripheral in vivo quantitative computed tomography (HR-pQCT) (XtremeCT, Scanco Medical, Switzerland; voxel size 82 microm) provides a new approach to monitor micro-architectural bone changes longitudinally. The accuracy of HR-pQCT for three important determinants of bone quality, including bone mineral density (BMD), architectural measurements and bone mechanics, was determined through a comparison with micro-computed tomography (microCT) and dual energy X-ray absorptiometry (DXA). Forty measurements from 10 cadaver radii with low bone mass were scanned using the three modalities, and image registration was used for 3D data to ensure identical regions were analyzed. The areal BMD of DXA correlated well with volumetric BMD by HR-pQCT despite differences in dimensionality (R(2) = 0.69), and the correlation improved when non-dimensional bone mineral content was assessed (R(2) = 0.80). Morphological parameters measured by HR-pQCT in a standard patient analysis, including bone volume ratio, trabecular number, derived trabecular thickness, derived trabecular separation, and cortical thickness correlated well with muCT measures (R(2) = 0.59-0.96). Additionally, some non-metric parameters such as connectivity density (R(2) = 0.90) performed well. The mechanical stiffness assessed by finite element analysis of HR-pQCT images was generally higher than for microCT data due to resolution differences, and correlated well at the continuum level (R(2) = 0.73). The validation here of HR-pQCT against gold-standards microCT and DXA provides insight into the accuracy of the system, and suggests that in addition to the standard patient protocol, additional indices of bone quality including connectivity density and mechanical stiffness may be appropriate to include as part of a standard patient analysis for clinical monitoring of bone quality.

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Year:  2007        PMID: 17229586     DOI: 10.1016/j.medengphy.2006.11.002

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  161 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.  Individual trabecula segmentation (ITS)-based morphological analyses and microfinite element analysis of HR-pQCT images discriminate postmenopausal fragility fractures independent of DXA measurements.

Authors:  X Sherry Liu; Emily M Stein; Bin Zhou; Chiyuan A Zhang; Thomas L Nickolas; Adi Cohen; Valerie Thomas; Donald J McMahon; Felicia Cosman; Jeri Nieves; Elizabeth Shane; X Edward Guo
Journal:  J Bone Miner Res       Date:  2012-02       Impact factor: 6.741

3.  High speed insertion of bone fracture fixation pins: a finite element penetration model with experimental comparisons.

Authors:  Matthew P Prygoski; Timotius Pasang; Steven R Schmid; Antony J Lozier
Journal:  J Mater Sci Mater Med       Date:  2011-11-01       Impact factor: 3.896

4.  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

5.  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

Review 6.  Methods for assessing bone quality: a review.

Authors:  Eve Donnelly
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

7.  Predicting fracture using 2D finite element modelling.

Authors:  J A M MacNeil; J D Adachi; D Goltzman; R G Josse; C S Kovacs; J C Prior; W Olszynski; K S Davison; S M Kaiser
Journal:  Med Eng Phys       Date:  2011-09-29       Impact factor: 2.242

8.  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

9.  Teriparatide increases strength of the peripheral skeleton in premenopausal women with idiopathic osteoporosis: a pilot HR-pQCT study.

Authors:  Kyle K Nishiyama; Adi Cohen; Polly Young; Ji Wang; Joan M Lappe; X Edward Guo; David W Dempster; Robert R Recker; Elizabeth Shane
Journal:  J Clin Endocrinol Metab       Date:  2014-03-31       Impact factor: 5.958

10.  Compressive axial mechanical properties of rat bone as functions of bone volume fraction, apparent density and micro-ct based mineral density.

Authors:  Esther Cory; Ara Nazarian; Vahid Entezari; Vartan Vartanians; Ralph Müller; Brian D Snyder
Journal:  J Biomech       Date:  2009-12-08       Impact factor: 2.712

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