Literature DB >> 21274979

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

Yusuf A Bhagat1, Chamith S Rajapakse, Jeremy F Magland, James H Love, Alexander C Wright, Michael J Wald, Hee Kwon Song, Felix W Wehrli.   

Abstract

PURPOSE: To assess the performance of a 3D fast spin echo (FSE) pulse sequence utilizing out-of-slab cancellation through phase alternation and micro-magnetic resonance imaging (μMRI)-based virtual bone biopsy processing methods to probe the serial reproducibility and sensitivity of structural and mechanical parameters of the distal tibia at 7.0T.
MATERIALS AND METHODS: The distal tibia of five healthy subjects was imaged at three timepoints with a 3D FSE sequence at 137 × 137 × 410 μm(3) voxel size. Follow-up images were retrospectively 3D registered to baseline images. Coefficients of variation (CV) and intraclass correlation coefficients (ICCs) for measures of scale and topology of the whole tibial trabecular bone (TB) cross-section as well as finite-element-derived Young's and shear moduli of central cuboidal TB subvolumes (8 × 8 × 5 mm(3) ) were evaluated as measures of reproducibility and reliability. Four additional cubic TB subregions (anterior, medial, lateral, and posterior) of similar dimensions were extracted and analyzed to determine associations between whole cross-section and subregional structural parameters.
RESULTS: The mean signal-to-noise ratio (SNR) over the 15 image acquisitions was 27.5 ± 2.1. Retrospective registration yielded an average common analysis volume of 67% across the three exams per subject. Reproducibility (mean CV = 3.6%; range, 1.5%-5%) and reliability (ICCs, 0.95-0.99) of all parameters permitted parameter-based discrimination of the five subjects in spite of the narrow age range (26-36 years) covered. Parameters characterizing topology were better able to distinguish two individuals who demonstrated similar values for scalar measurements (≈ 34% difference, P < 0.001). Whole-section axial stiffness encompassing the cortex was superior at distinguishing two individuals relative to its central subregional TB counterpart (≈ 8% difference; P < 0.05). Interregion comparisons showed that although all parameters were correlated (mean R(2) = 0.78; range 0.57-0.99), the strongest associations observed were those for the erosion index (mean R(2) = 0.95, P ≤ 0.01).
CONCLUSION: The reproducibility and structural and mechanical parameter-based discriminative ability achieved in five healthy subjects suggests that 7T-derived μMRI of TB can be applied towards serial patient studies of osteoporosis and may enable earlier detection of disease or treatment-based effects.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21274979      PMCID: PMC3059753          DOI: 10.1002/jmri.22439

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  45 in total

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Review 2.  Magnetic resonance imaging of trabecular bone structure.

Authors:  Sharmila Majumdar
Journal:  Top Magn Reson Imaging       Date:  2002-10

3.  Structural and mechanical parameters of trabecular bone estimated from in vivo high-resolution magnetic resonance images at 3 tesla field strength.

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4.  Trabecular bone structure of the calcaneus: preliminary in vivo MR imaging assessment in men with osteoporosis.

Authors:  Nathalie Boutry; Bernard Cortet; Patrick Dubois; Xavier Marchandise; Anne Cotten
Journal:  Radiology       Date:  2003-04-03       Impact factor: 11.105

5.  Topological analysis of trabecular bone MR images.

Authors:  B R Gomberg; P K Saha; H K Song; S N Hwang; F W Wehrli
Journal:  IEEE Trans Med Imaging       Date:  2000-03       Impact factor: 10.048

6.  Computational biomechanics of the distal tibia from high-resolution MR and micro-CT images.

Authors:  Chamith S Rajapakse; Jeremy F Magland; Michael J Wald; X Sherry Liu; X Henry Zhang; X Edward Guo; Felix W Wehrli
Journal:  Bone       Date:  2010-05-31       Impact factor: 4.398

Review 7.  How does human bone resist fracture?

Authors:  Robert O Ritchie
Journal:  Ann N Y Acad Sci       Date:  2010-03       Impact factor: 5.691

8.  Digital topological analysis of in vivo magnetic resonance microimages of trabecular bone reveals structural implications of osteoporosis.

Authors:  F W Wehrli; B R Gomberg; P K Saha; H K Song; S N Hwang; P J Snyder
Journal:  J Bone Miner Res       Date:  2001-08       Impact factor: 6.741

9.  Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform.

Authors:  Punam K Saha; Felix W Wehrli
Journal:  IEEE Trans Med Imaging       Date:  2004-01       Impact factor: 10.048

10.  Mechanical implications of estrogen supplementation in early postmenopausal women.

Authors:  Felix W Wehrli; Chamith S Rajapakse; Jeremy F Magland; Peter J Snyder
Journal:  J Bone Miner Res       Date:  2010-06       Impact factor: 6.741

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  12 in total

1.  In vivo estimation of bone stiffness at the distal femur and proximal tibia using ultra-high-field 7-Tesla magnetic resonance imaging and micro-finite element analysis.

Authors:  Gregory Chang; Chamith S Rajapakse; James S Babb; Stephen P Honig; Michael P Recht; Ravinder R Regatte
Journal:  J Bone Miner Metab       Date:  2011-11-30       Impact factor: 2.626

2.  Assessment of trabecular bone yield and post-yield behavior from high-resolution MRI-based nonlinear finite element analysis at the distal radius of premenopausal and postmenopausal women susceptible to osteoporosis.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; ShingChun Benny Lam; Felix W Wehrli
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

Review 3.  Micro-Finite Element Analysis of the Proximal Femur on the Basis of High-Resolution Magnetic Resonance Images.

Authors:  Chamith S Rajapakse; Gregory Chang
Journal:  Curr Osteoporos Rep       Date:  2018-12       Impact factor: 5.096

4.  Differences in bone quality in low- and high-turnover renal osteodystrophy.

Authors:  Hartmut H Malluche; Daniel S Porter; Marie-Claude Monier-Faugere; Hanna Mawad; David Pienkowski
Journal:  J Am Soc Nephrol       Date:  2011-12-22       Impact factor: 10.121

5.  Micro-finite element analysis applied to high-resolution MRI reveals improved bone mechanical competence in the distal femur of female pre-professional dancers.

Authors:  G Chang; C S Rajapakse; M Diamond; S Honig; M P Recht; D S Weiss; R R Regatte
Journal:  Osteoporos Int       Date:  2012-08-15       Impact factor: 4.507

6.  The Efficacy of Low-intensity Vibration to Improve Bone Health in Patients with End-stage Renal Disease Is Highly Dependent on Compliance and Muscle Response.

Authors:  Chamith S Rajapakse; Mary B Leonard; Elizabeth A Kobe; Michelle A Slinger; Kelly A Borges; Erica Billig; Clinton T Rubin; Felix W Wehrli
Journal:  Acad Radiol       Date:  2017-06-23       Impact factor: 3.173

Review 7.  MRI assessment of bone structure and microarchitecture.

Authors:  Gregory Chang; Sean Boone; Dimitri Martel; Chamith S Rajapakse; Robert S Hallyburton; Mitch Valko; Stephen Honig; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2017-02-06       Impact factor: 4.813

8.  Quantitative assessment of trabecular bone micro-architecture of the wrist via 7 Tesla MRI: preliminary results.

Authors:  Gregory Chang; Ligong Wang; Guoyuan Liang; James S Babb; Graham C Wiggins; Punam K Saha; Ravinder R Regatte
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9.  Measurement reproducibility of magnetic resonance imaging-based finite element analysis of proximal femur microarchitecture for in vivo assessment of bone strength.

Authors:  Gregory Chang; Alexandra Hotca-Cho; Henry Rusinek; Stephen Honig; Artem Mikheev; Kenneth Egol; Ravinder R Regatte; Chamith S Rajapakse
Journal:  MAGMA       Date:  2014-12-09       Impact factor: 2.310

Review 10.  Evaluating bone quality in patients with chronic kidney disease.

Authors:  Hartmut H Malluche; Daniel S Porter; David Pienkowski
Journal:  Nat Rev Nephrol       Date:  2013-10-08       Impact factor: 28.314

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