Literature DB >> 23567093

Measuring apparent trabecular structure with pQCT: a comparison with HR-pQCT.

Deena Lala1, Angela M Cheung2, Cheryl L Lynch1, Dean Inglis3, Chris Gordon4, George Tomlinson5, Lora Giangregorio6.   

Abstract

We evaluated how comparable peripheral quantitative computed tomography (pQCT) measurements of cortical thickness, density, and apparent trabecular structure at the ultradistal tibia were with those measured with high-resolution pQCT (HR-pQCT). We also examined whether the accuracy of the pQCT-based trabecular and cortical measurements improved with reductions in slice thickness from the standard 2.2mm to 1.1 and 0.6mm. We immersed 15 dry tibia specimens in saline in a sealed cylinder and scanned 22.5mm from the distal tibia plateau using pQCT and HR-pQCT. pQCT underestimated cortical thickness by Stratec (CThStratec) and trabecular spacing (Tb.Sp) by 21.4% and 72.9%, whereas bone volume to total volume (BV/TV) and cortical density (CDen) were overestimated by 265.8% and 13.1%, respectively. Measurements of trabecular volumetric bone mineral density, trabecular area, total area, cortical thickness by custom software were comparable, but for CThStratec, Tb.Sp, BV/TV, and CDen, the differences between imaging devices varied with magnitude of the estimate. We recommend that researchers or clinicians interested in using pQCT to measure apparent trabecular structure or cortical thickness at the epiphyses, or in comparing findings from different devices, be aware of the differences between HR-pQCT and pQCT.
Copyright © 2014 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accuracy; bone density; bone geometry; bone structure; peripheral quantitative computed tomography

Mesh:

Year:  2013        PMID: 23567093     DOI: 10.1016/j.jocd.2013.03.002

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.617


  5 in total

1.  A trimodality comparison of volumetric bone imaging technologies. Part I: Short-term precision and validity.

Authors:  Andy K O Wong; Karen A Beattie; Kevin K H Min; Colin E Webber; Christopher L Gordon; Alexandra Papaioannou; Angela M W Cheung; Jonathan D Adachi
Journal:  J Clin Densitom       Date:  2014-08-13       Impact factor: 2.617

2.  Integrative blockwise sparse analysis for tissue characterization and classification.

Authors:  Keni Zheng; Chelsea E Harris; Rachid Jennane; Sokratis Makrogiannis
Journal:  Artif Intell Med       Date:  2020-06-01       Impact factor: 5.326

3.  Bone quality assessment techniques: geometric, compositional, and mechanical characterization from macroscale to nanoscale.

Authors:  Heather B Hunt; Eve Donnelly
Journal:  Clin Rev Bone Miner Metab       Date:  2016-08-22

4.  Automated skeletal tissue quantification in the lower leg using peripheral quantitative computed tomography.

Authors:  Sokratis Makrogiannis; Fatima Boukari; Luigi Ferrucci
Journal:  Physiol Meas       Date:  2018-04-03       Impact factor: 2.833

Review 5.  Mechanical basis of bone strength: influence of bone material, bone structure and muscle action.

Authors:  N H Hart; S Nimphius; T Rantalainen; A Ireland; A Siafarikas; R U Newton
Journal:  J Musculoskelet Neuronal Interact       Date:  2017-09-01       Impact factor: 2.041

  5 in total

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