Literature DB >> 19651482

Advances in osteoporosis imaging.

Jan S Bauer1, Thomas M Link.   

Abstract

In the assessment of osteoporosis, the measurement of bone mineral density (BMD(a)) obtained from dual energy X-ray absorptiometry (DXA; g/cm(2)) is the most widely used parameter. However, bone strength and fracture risk are also influenced by parameters of bone quality such as micro-architecture and tissue properties. This article reviews the radiological techniques currently available for imaging and quantifying bone structure, as well as advanced techniques to image bone quality. With the recent developments in magnetic resonance (MR) techniques, including the availability of clinical 3T scanners, and advances in computed tomography (CT) technology (e.g. clinical Micro-CT), in-vivo imaging of the trabecular bone architecture is becoming more feasible. Several in-vitro studies have demonstrated that bone architecture, measured by MR or CT, was a BMD-independent determinant of bone strength. In-vivo studies showed that patients with, and without, osteoporotic fractures could better be separated with parameters of bone architecture than with BMD. Parameters of trabecular architecture were more sensitive to treatment effects than BMD. Besides the 3D tomographic techniques, projection radiography has been used in the peripheral skeleton as an additional tool to better predict fracture risk than BMD alone. The quantification of the trabecular architecture included parameters of scale, shape, anisotropy and connectivity. Finite element analyses required highest resolution, but best predicted the biomechanical properties of the bone. MR diffusion and perfusion imaging and MR spectroscopy may provide measures of bone quality beyond trabecular micro-architecture.

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Year:  2009        PMID: 19651482     DOI: 10.1016/j.ejrad.2008.04.064

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  45 in total

1.  Fractures in Relation to Menstrual Status and Bone Parameters in Young Athletes.

Authors:  Kathryn E Ackerman; Natalia Cano Sokoloff; Giovana DE Nardo Maffazioli; Hannah M Clarke; Hang Lee; Madhusmita Misra
Journal:  Med Sci Sports Exerc       Date:  2015-08       Impact factor: 5.411

2.  Performance of μMRI-Based virtual bone biopsy for structural and mechanical analysis at the distal tibia at 7T field strength.

Authors:  Yusuf A Bhagat; Chamith S Rajapakse; Jeremy F Magland; James H Love; Alexander C Wright; Michael J Wald; Hee Kwon Song; Felix W Wehrli
Journal:  J Magn Reson Imaging       Date:  2011-02       Impact factor: 4.813

3.  A comparison of conventional maximum intensity projection with a new depth-specific topographic mapping technique in the CT analysis of proximal tibial subchondral bone density.

Authors:  James D Johnston; Saija A Kontulainen; Bassam A Masri; David R Wilson
Journal:  Skeletal Radiol       Date:  2009-11-22       Impact factor: 2.199

Review 4.  Methods for assessing bone quality: a review.

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

5.  Trabecular bone structure parameters from 3D image processing of clinical multi-slice and cone-beam computed tomography data.

Authors:  Eva Klintström; Orjan Smedby; Rodrigo Moreno; Torkel B Brismar
Journal:  Skeletal Radiol       Date:  2013-11-24       Impact factor: 2.199

6.  Cylinders or walls? A new computational model to estimate the MR transverse relaxation rate dependence on trabecular bone architecture.

Authors:  Bernd Müller-Bierl; Olivia Louis; Yves Fierens; Nico Buls; Robert Luypaert; Johan de Mey
Journal:  MAGMA       Date:  2013-09-06       Impact factor: 2.310

7.  Bone quality: from bench to bedside: opening editorial comment.

Authors:  Adele L Boskey; Eve Donnelly; J Gregory Kinnett
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

8.  Combination of texture analysis and bone mineral density improves the prediction of fracture load in human femurs.

Authors:  T Le Corroller; J Halgrin; M Pithioux; D Guenoun; P Chabrand; P Champsaur
Journal:  Osteoporos Int       Date:  2011-07-08       Impact factor: 4.507

9.  Measurement of subregional vertebral bone mineral density in vitro using lateral projection dual-energy X-ray absorptiometry: validation with peripheral quantitative computed tomography.

Authors:  Andrew M Briggs; Egon Perilli; Ian H Parkinson; Susan Kantor; Tim V Wrigley; Nicola L Fazzalari; John D Wark
Journal:  J Bone Miner Metab       Date:  2011-09-13       Impact factor: 2.626

10.  [Hounsfield units as a measure of bone density-applications in spine surgery].

Authors:  Max J Scheyerer; Bernhard Ullrich; Georg Osterhoff; Ulrich A Spiegl; Klaus J Schnake
Journal:  Unfallchirurg       Date:  2019-08       Impact factor: 1.000

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