Literature DB >> 21784189

Performance of the MRI-based virtual bone biopsy in the distal radius: serial reproducibility and reliability of structural and mechanical parameters in women representative of osteoporosis study populations.

Shing Chun Benny Lam1, Michael J Wald, Chamith S Rajapakse, Yinxiao Liu, Punam K Saha, Felix W Wehrli.   

Abstract

Serial reproducibility and reliability critically determine sensitivity to detect changes in response to intervention and provide a basis for sample size estimates. Here, we evaluated the performance of the MRI-based virtual bone biopsy in terms of 26 structural and mechanical parameters in the distal radius of 20 women in the age range of 50 <span class="Species">to 75 years (mean=62.0 years, S.D.=8.1 years), representative of typical study populations in drug intervention trials and fracture studies. Subjects were examined three times at average intervals of 20.2 days (S.D.=14.5 days) by MRI at 1.5 T field strength at a voxel size of 137×137×410 μm(3). Methods involved prospective and retrospective 3D image registration and auto-focus motion correction. Analyses were performed from a central 5×5×5 mm(3) cuboid subvolume and trabecular volume consisting of a 13 mm axial slab encompassing the entire medullary cavity. Whole-volume axial stiffness and sub-regional Young's and shear moduli were computed by finite-element analysis. Whole-volume-derived aggregate mean coefficient of variation of all structural parameters was 4.4% (range 1.8% to 7.7%) and 4.0% for axial stiffness; corresponding data in the subvolume were 6.5% (range 1.6% to 13.0%) for structural, and 5.5% (range 4.6% to 6.5%) for mechanical parameters. Aggregate ICC was 0.976 (range 0.947 to 0.986) and 0.992 for whole-volume-derived structural parameters and axial stiffness, and 0.946 (range 0.752 to 0.991) and 0.974 (range 0.965 to 0.978) for subvolume-derived structural and mechanical parameters, respectively. The strongest predictors of whole-volume axial stiffness were BV/TV, junction density, skeleton density and Tb.N (R(2) 0.79-0.87). The same parameters were also highly predictive of sub-regional axial modulus (R(2) 0.88-0.91). The data suggest that the method is suited for longitudinal assessment of the response to therapy. The underlying technology is portable and should be compatible with all general-purpose MRI scanners, which is appealing considering the very large installed base of this modality.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21784189      PMCID: PMC3167016          DOI: 10.1016/j.bone.2011.07.010

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  49 in total

1.  A new method for three-dimensional skeleton graph analysis of porous media: application to trabecular bone microarchitecture.

Authors:  L Pothuaud; P Porion; E Lespessailles; C L Benhamou; P Levitz
Journal:  J Microsc       Date:  2000-08       Impact factor: 1.758

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 novel local thresholding algorithm for trabecular bone volume fraction mapping in the limited spatial resolution regime of in vivo MRI.

Authors:  Branimir Vasilic; Felix W Wehrli
Journal:  IEEE Trans Med Imaging       Date:  2005-12       Impact factor: 10.048

4.  Dynamic relationships of trabecular bone density, architecture, and strength in a computational model of osteopenia.

Authors:  R S Siffert; G M Luo; S C Cowin; J J Kaufman
Journal:  Bone       Date:  1996-02       Impact factor: 4.398

5.  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

6.  Skeletal effects of short-term exposure to dexamethasone and response to risedronate treatment studied in vivo in rabbits by magnetic resonance micro-imaging and spectroscopy.

Authors:  Masaya Takahashi; Punam K Saha; Felix W Wehrli
Journal:  J Bone Miner Metab       Date:  2006       Impact factor: 2.626

7.  Retrospective 3D registration of trabecular bone MR images for longitudinal studies.

Authors:  Jeremy F Magland; Catherine E Jones; Mary B Leonard; Felix W Wehrli
Journal:  J Magn Reson Imaging       Date:  2009-01       Impact factor: 4.813

8.  Reproducibility and error sources of micro-MRI-based trabecular bone structural parameters of the distal radius and tibia.

Authors:  B R Gomberg; F W Wehrli; B Vasilić; R H Weening; P K Saha; H K Song; A C Wright
Journal:  Bone       Date:  2004-07       Impact factor: 4.398

9.  Bone loss and bone size after menopause.

Authors:  Henrik G Ahlborg; Olof Johnell; Charles H Turner; Gunnar Rannevik; Magnus K Karlsson
Journal:  N Engl J Med       Date:  2003-07-24       Impact factor: 91.245

10.  Trabecular structure quantified with the MRI-based virtual bone biopsy in postmenopausal women contributes to vertebral deformity burden independent of areal vertebral BMD.

Authors:  Glenn A Ladinsky; Branimir Vasilic; Andra M Popescu; Michael Wald; Babette S Zemel; Peter J Snyder; Louise Loh; Hee Kwon Song; Punam K Saha; Alexander C Wright; Felix W Wehrli
Journal:  J Bone Miner Res       Date:  2008-01       Impact factor: 6.741

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  19 in total

1.  Evaluation of trabecular microarchitecture in nonosteoporotic postmenopausal women with and without fracture.

Authors:  Richard Kijowski; Michael Tuite; Diane Kruger; Alejandro Munoz Del Rio; Michael Kleerekoper; Neil Binkley
Journal:  J Bone Miner Res       Date:  2012-07       Impact factor: 6.741

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.  Workflow and simulation of image-to-physical registration of holes inside spongy bone.

Authors:  Jan Bergmeier; J Michael Fitzpatrick; Dorothea Daentzer; Omid Majdani; Tobias Ortmaier; Lüder A Kahrs
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-05-06       Impact factor: 2.924

Review 4.  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

Review 5.  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

6.  Cortical and trabecular bone structure analysis at the distal radius-prediction of biomechanical strength by DXA and MRI.

Authors:  Thomas Baum; Melanie Kutscher; Dirk Müller; Christoph Räth; Felix Eckstein; Eva-Maria Lochmüller; Ernst J Rummeny; Thomas M Link; Jan S Bauer
Journal:  J Bone Miner Metab       Date:  2012-11-22       Impact factor: 2.626

7.  Potential of in vivo MRI-based nonlinear finite-element analysis for the assessment of trabecular bone post-yield properties.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

8.  Registration-based autofocusing technique for automatic correction of motion artifacts in time-series studies of high-resolution bone MRI.

Authors:  Ning Zhang; Jeremy F Magland; Hee Kwon Song; Felix W Wehrli
Journal:  J Magn Reson Imaging       Date:  2014-05-07       Impact factor: 4.813

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.  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

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