Document Detail


Clinical imaging of bone microarchitecture with HR-pQCT.
MedLine Citation:
PMID:  23504496     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Osteoporosis, a disease characterized by loss of bone mass and structural deterioration, is currently diagnosed by dual-energy x-ray absorptiometry (DXA). However, DXA does not provide information about bone microstructure, which is a key determinant of bone strength. Recent advances in imaging permit the assessment of bone microstructure in vivo using high-resolution peripheral quantitative computed tomography (HR-pQCT). From these data, novel image processing techniques can be applied to characterize bone quality and strength. To date, most HR-pQCT studies are cross-sectional comparing subjects with and without fracture. These studies have shown that HR-pQCT is capable of discriminating fracture status independent of DXA. Recent longitudinal studies present new challenges in terms of analyzing the same region of interest and multisite calibrations. Careful application of analysis techniques and educated clinical interpretation of HR-pQCT results have improved our understanding of various bone-related diseases and will no doubt continue to do so in the future.
Authors:
Kyle K Nishiyama; Elizabeth Shane
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Current osteoporosis reports     Volume:  11     ISSN:  1544-2241     ISO Abbreviation:  Curr Osteoporos Rep     Publication Date:  2013 Jun 
Date Detail:
Created Date:  2013-05-02     Completed Date:  2014-01-07     Revised Date:  2014-08-03    
Medline Journal Info:
Nlm Unique ID:  101176492     Medline TA:  Curr Osteoporos Rep     Country:  United States    
Other Details:
Languages:  eng     Pagination:  147-55     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Absorptiometry, Photon / methods
Bone Density
Bone and Bones / metabolism,  radiography*
Fractures, Bone / metabolism,  radiography*
Humans
Image Processing, Computer-Assisted*
Tomography, X-Ray Computed / methods*
Grant Support
ID/Acronym/Agency:
K24 AR052665/AR/NIAMS NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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