Literature DB >> 22124539

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.

Gregory Chang1, Chamith S Rajapakse, James S Babb, Stephen P Honig, Michael P Recht, Ravinder R Regatte.   

Abstract

The goal of this study was to demonstrate the feasibility of using 7-Tesla (7T) magnetic resonance imaging (MRI) and micro-finite element analysis (µFEA) to evaluate mechanical and structural properties of whole, cortical, and trabecular bone at the distal femur and proximal tibia in vivo. 14 healthy subjects were recruited (age 40.7 ± 15.7 years). The right knee was scanned on a 7T MRI scanner using a 28 channel-receive knee coil and a three-dimensional fast low-angle shot sequence (TR/TE 20 ms/5.02 ms, 0.234 mm × 0.234 mm × 1 mm, 80 axial images, 7 min 9 s). Bone was analyzed at the distal femoral metaphysis, femoral condyles, and tibial plateau. Whole, cortical, and trabecular bone stiffness was computed using µFEA. Bone volume fraction (BVF), bone areas, and cortical thickness were measured. Trabecular bone stiffness (933.7 ± 433.3 MPa) was greater than cortical bone stiffness (216 ± 152 MPa) at all three locations (P < 0.05). Across locations, there were no differences in bone stiffness (whole, cortical, or trabecular). Whole, cortical, and trabecular bone stiffness correlated with BVF (R ≥ 0.69, P < 0.05) and inversely correlated with corresponding whole, cortical, and trabecular areas (R ≤ -0.54, P < 0.05), but not with cortical thickness (R < -0.11, P > 0.05). Whole, cortical, and trabecular stiffness correlated with body mass index (R ≥ 0.62, P < 0.05). In conclusion, at the distal femur and proximal tibia, trabecular bone contributes 66-74% of whole bone stiffness. 7T MRI and µFEA may be used as a method to provide insight into how structural properties of cortical or trabecular bone affect bone mechanical competence in vivo.

Entities:  

Mesh:

Year:  2011        PMID: 22124539      PMCID: PMC3723134          DOI: 10.1007/s00774-011-0333-1

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  41 in total

1.  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

2.  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

Review 3.  Ultra-high-field MRI of the musculoskeletal system at 7.0T.

Authors:  Ravinder R Regatte; Mark E Schweitzer
Journal:  J Magn Reson Imaging       Date:  2007-02       Impact factor: 4.813

4.  In vivo bone and cartilage MRI using fully-balanced steady-state free-precession at 7 tesla.

Authors:  Roland Krug; Julio Carballido-Gamio; Suchandrima Banerjee; Robert Stahl; Lucas Carvajal; Duan Xu; Dan Vigneron; Douglas A C Kelley; Thomas M Link; Sharmila Majumdar
Journal:  Magn Reson Med       Date:  2007-12       Impact factor: 4.668

5.  Recent progress in bone imaging for osteoporosis research.

Authors:  Masako Ito
Journal:  J Bone Miner Metab       Date:  2011-02-08       Impact factor: 2.626

6.  Evaluation of MRI resolution affecting trabecular bone parameters: determination of acceptable resolution.

Authors:  Namkug Kim; June-Goo Lee; Youngkyu Song; Hengjun J Kim; Jin S Yeom; Gyunggoo Cho
Journal:  Magn Reson Med       Date:  2011-06-07       Impact factor: 4.668

7.  MRI of the wrist at 7 tesla using an eight-channel array coil combined with parallel imaging: preliminary results.

Authors:  Gregory Chang; Klaus M Friedrich; Ligong Wang; Renata L R Vieira; Mark E Schweitzer; Michael P Recht; Graham C Wiggins; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2010-03       Impact factor: 4.813

8.  Differences in bone microarchitecture between postmenopausal Chinese-American and white women.

Authors:  Marcella D Walker; X Sherry Liu; Emily Stein; Bin Zhou; Ervis Bezati; Donald J McMahon; Julia Udesky; George Liu; Elizabeth Shane; X Edward Guo; John P Bilezikian
Journal:  J Bone Miner Res       Date:  2011-07       Impact factor: 6.741

Review 9.  Fundamentals and pitfalls of bone densitometry using dual-energy X-ray absorptiometry (DXA).

Authors:  Nelson B Watts
Journal:  Osteoporos Int       Date:  2004-08-21       Impact factor: 4.507

10.  FRAX and the assessment of fracture probability in men and women from the UK.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

View more
  11 in total

1.  Finite element analysis applied to 3-T MR imaging of proximal femur microarchitecture: lower bone strength in patients with fragility fractures compared with control subjects.

Authors:  Gregory Chang; Stephen Honig; Ryan Brown; Cem M Deniz; Kenneth A Egol; James S Babb; Ravinder R Regatte; Chamith S Rajapakse
Journal:  Radiology       Date:  2014-04-02       Impact factor: 11.105

Review 2.  MR Imaging of the Musculoskeletal System Using Ultrahigh Field (7T) MR Imaging.

Authors:  Hamza Alizai; Gregory Chang; Ravinder R Regatte
Journal:  PET Clin       Date:  2018-10

Review 3.  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 4.  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

5.  7 Tesla MRI of bone microarchitecture discriminates between women without and with fragility fractures who do not differ by bone mineral density.

Authors:  Gregory Chang; Stephen Honig; Yinxiao Liu; Cheng Chen; Kevin K Chu; Chamith S Rajapakse; Kenneth Egol; Ding Xia; Punam K Saha; Ravinder R Regatte
Journal:  J Bone Miner Metab       Date:  2014-04-22       Impact factor: 2.626

6.  Technologies for assessment of bone reflecting bone strength and bone mineral density in elderly women: an update.

Authors:  Alvilde Dhainaut; Mari Hoff; Unni Syversen; Glenn Haugeberg
Journal:  Womens Health (Lond)       Date:  2016-02-22

Review 7.  Advances in imaging approaches to fracture risk evaluation.

Authors:  Mary Kate Manhard; Jeffry S Nyman; Mark D Does
Journal:  Transl Res       Date:  2016-10-17       Impact factor: 7.012

8.  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

Review 9.  MRI-based mechanical competence assessment of bone using micro finite element analysis (micro-FEA): Review.

Authors:  Saeed Jerban; Salem Alenezi; Amir Masoud Afsahi; Yajun Ma; Jiang Du; Christine B Chung; Eric Y Chang
Journal:  Magn Reson Imaging       Date:  2022-01-25       Impact factor: 2.546

10.  In-vivo assessment of femoral bone strength using Finite Element Analysis (FEA) based on routine MDCT imaging: a preliminary study on patients with vertebral fractures.

Authors:  Hans Liebl; Eduardo Grande Garcia; Fabian Holzner; Peter B Noel; Rainer Burgkart; Ernst J Rummeny; Thomas Baum; Jan S Bauer
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.