Literature DB >> 10602950

Imaging of trabecular bone structure in osteoporosis.

T M Link1, S Majumdar, S Grampp, G Guglielmi, C van Kuijk, H Imhof, C Glueer, J E Adams.   

Abstract

Osteoporosis is a metabolic bone disorder that is characterized by reduced bone mass and a deterioration of bone structure which results in an increased fracture risk. Since the disease is preventable, diagnostic techniques are of major importance. Standard techniques determine bone mineral density, whereas some of the newer techniques focus on trabecular structure. This article reviews structure analysis techniques in the diagnosis of osteoporosis. Imaging techniques applied to the assessment of trabecular bone structure include conventional radiography, magnification radiography, high-resolution CT (HRCT) and high-resolution MR imaging (HRMRI). The best results were obtained using high-resolution tomographic techniques. The highest spatial resolutions in vivo were achieved using HRMRI. The most common texture analysis techniques that have been used are morphological parameters (analogous to bone histomorphometry). Fractal dimension, co-occurrence matrices, mathematical filter techniques and autocorrelation functions are more complex techniques. Most of the studies evaluating structure analysis show that texture parameters and bone mineral density both predict bone strength and osteoporotic fractures, and that combining both techniques yields the best results in the diagnosis of osteoporosis.

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Year:  1999        PMID: 10602950     DOI: 10.1007/s003300050922

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  30 in total

Review 1.  Bone quality: where do we go from here?

Authors:  Mary L Bouxsein
Journal:  Osteoporos Int       Date:  2003-08-29       Impact factor: 4.507

2.  Three-dimensional texture analysis of cancellous bone cores evaluated at clinical CT resolutions.

Authors:  Chad Showalter; Bradley D Clymer; Bradford Richmond; Kimerly Powell
Journal:  Osteoporos Int       Date:  2005-09-17       Impact factor: 4.507

3.  Feasibility of in vivo structural analysis of high-resolution magnetic resonance images of the proximal femur.

Authors:  Roland Krug; S Banerjee; E T Han; D C Newitt; T M Link; S Majumdar
Journal:  Osteoporos Int       Date:  2005-07-06       Impact factor: 4.507

Review 4.  An update on the assessment of osteoporosis using radiologic techniques.

Authors:  John Damilakis; Thomas G Maris; Apostolos H Karantanas
Journal:  Eur Radiol       Date:  2006-11-28       Impact factor: 5.315

Review 5.  Assessing bone mass in children and adolescents.

Authors:  Tishya A L Wren; Vicente Gilsanz
Journal:  Curr Osteoporos Rep       Date:  2006-12       Impact factor: 5.096

6.  Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis.

Authors:  Joel R Wilkie; Maryellen L Giger; Charles A Engh; Robert H Hopper; John M Martell
Journal:  Acad Radiol       Date:  2008-02       Impact factor: 3.173

7.  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

8.  Classification of trabeculae into three-dimensional rodlike and platelike structures via local inertial anisotropy.

Authors:  Branimir Vasilić; Chamith S Rajapakse; Felix W Wehrli
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

9.  Assessment of trabecular bone structure comparing magnetic resonance imaging at 3 Tesla with high-resolution peripheral quantitative computed tomography ex vivo and in vivo.

Authors:  R Krug; J Carballido-Gamio; A J Burghardt; G Kazakia; B H Hyun; B Jobke; S Banerjee; M Huber; T M Link; S Majumdar
Journal:  Osteoporos Int       Date:  2007-11-09       Impact factor: 4.507

10.  Gender differences in trabecular bone architecture of the distal radius assessed with magnetic resonance imaging and implications for mechanical competence.

Authors:  Martin Hudelmaier; A Kollstedt; E M Lochmüller; V Kuhn; F Eckstein; T M Link
Journal:  Osteoporos Int       Date:  2005-03-03       Impact factor: 4.507

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