Literature DB >> 16569786

Trabecular bone structure of the calcaneus: comparison of MR imaging at 3.0 and 1.5 T with micro-CT as the standard of reference.

Catherine M Phan1, Maiko Matsuura, Jan S Bauer, Timothy C Dunn, David Newitt, Eva M Lochmueller, Felix Eckstein, Sharmila Majumdar, Thomas M Link.   

Abstract

PURPOSE: To investigate in vitro the calcaneal trabecular bone structure in elderly human donors with high spatial resolution magnetic resonance (MR) imaging at 3.0 T and 1.5 T, to quantitatively compare MR measures of bone microarchitecture with those from micro-computed tomography (CT), and to compare the performance of 3.0-T MR imaging with that of 1.5-T MR imaging in differentiating donors with spinal fractures from those without spinal fractures.
MATERIALS AND METHODS: The study was performed in line with institutional and legislative requirements; all donors had dedicated their body for educational and research purposes prior to death. Sagittal MR images of 49 human calcaneus cadaveric specimens were obtained (mean age of donors, 79.5 years +/- 11 [standard deviation]; 26 male donors, 23 female donors). After the spatial coregistering of images acquired at 3.0-T and 1.5-T MR imaging, the signal-to-noise-ratios and structural parameters obtained at each magnetic field strength were compared in corresponding sections. Micro-CT was performed on calcaneus cores obtained from corresponding regions in 40 cadaveric specimens. Vertebral deformities of the thoracic and lumbar spine were radiographically classified by using the spinal fracture index. Diagnostic performance of the structural parameters in differentiating donors with vertebral fractures from those without was assessed by using receiver operator characteristic (ROC) analysis, including area under the ROC curve (A(z)).
RESULTS: Correlations between structural parameters at 3.0-T MR imaging and those at micro-CT were significantly higher (P < .05) than correlations between structural parameters at 1.5-T MR imaging and those at micro-CT (trabecular thickness, r = 0.76 at 3.0 T vs r = 0.57 at 1.5 T). Trabecular dimensions were amplified at 3.0 T because of increasing susceptibility artifacts. Also, higher ROC values were found for structural parameters at 3.0 T than at 1.5 T, but differences were not significant (trabecular thickness, A(z) = 0.75 at 3.0 T vs A(z) = 0.66 at 1.5 T, P > .05).
CONCLUSION: MR imaging at 3.0 T provided a better measure of the trabecular bone structure than did MR imaging at 1.5 T. There was a trend for better differentiation of donors with from those without osteoporotic vertebral fractures at 3.0 T than at 1.5 T. (c) RSNA, 2006.

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Year:  2006        PMID: 16569786     DOI: 10.1148/radiol.2392050574

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  32 in total

Review 1.  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 2.  [New techniques for the diagnosis of osteoporosis].

Authors:  A S Issever; T M Link
Journal:  Radiologe       Date:  2006-10       Impact factor: 0.635

3.  Quantitative and diffusion MR imaging as a new method to assess osteoporosis.

Authors:  H G Hatipoglu; A Selvi; D Ciliz; E Yuksel
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-28       Impact factor: 3.825

4.  Reproducibility of trabecular structure analysis using flat-panel volume computed tomography.

Authors:  Arnold C Cheung; Miriam A Bredella; Ma'moun Al Khalaf; Michael Grasruck; Christianne Leidecker; Rajiv Gupta
Journal:  Skeletal Radiol       Date:  2009-05-09       Impact factor: 2.199

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.  Adaptations in trabecular bone microarchitecture in Olympic athletes determined by 7T MRI.

Authors:  Gregory Chang; S Kubilay Pakin; Mark E Schweitzer; Punam K Saha; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

Review 7.  Clinical Evaluation of Bone Strength and Fracture Risk.

Authors:  Chantal M J de Bakker; Wei-Ju Tseng; Yihan Li; Hongbo Zhao; X Sherry Liu
Journal:  Curr Osteoporos Rep       Date:  2017-02       Impact factor: 5.096

8.  Implications of resolution and noise for in vivo micro-MRI of trabecular bone.

Authors:  Charles Q Li; Jeremy F Magland; Chamith S Rajapakse; X Edward Guo; X Henry Zhang; Branimir Vasilic; Felix W Wehrli
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

Review 9.  Use of DXA-based technology for detection and assessment of risk of vertebral fracture in rheumatology practice.

Authors:  Michael Maricic
Journal:  Curr Rheumatol Rep       Date:  2014-08       Impact factor: 4.592

Review 10.  New imaging modalities in bone.

Authors:  James F Griffith; Harry K Genant
Journal:  Curr Rheumatol Rep       Date:  2011-06       Impact factor: 4.592

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