Literature DB >> 25487834

Measurement reproducibility of magnetic resonance imaging-based finite element analysis of proximal femur microarchitecture for in vivo assessment of bone strength.

Gregory Chang1, Alexandra Hotca-Cho, Henry Rusinek, Stephen Honig, Artem Mikheev, Kenneth Egol, Ravinder R Regatte, Chamith S Rajapakse.   

Abstract

INTRODUCTION: Osteoporosis is a disease of weak bone. Our goal was to determine the measurement reproducibility of magnetic resonance assessment of proximal femur strength.
METHODS: This study had institutional review board approval, and written informed consent was obtained from all subjects. We obtained images of proximal femur microarchitecture by scanning 12 subjects three times within 1 week at 3T using a high-resolution 3-D FLASH sequence. We applied finite element analysis to compute proximal femur stiffness and femoral neck elastic modulus.
RESULTS: Within-day and between-day root-mean-square coefficients of variation and intraclass correlation coefficients ranged from 3.5 to 6.6 % and 0.96 to 0.98, respectively.
CONCLUSION: The measurement reproducibility of magnetic resonance assessment of proximal femur strength is suitable for clinical studies of disease progression or treatment response related to osteoporosis bone-strengthening interventions.

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Mesh:

Year:  2014        PMID: 25487834      PMCID: PMC4605426          DOI: 10.1007/s10334-014-0475-y

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  15 in total

Review 1.  Magnetic resonance imaging of trabecular bone structure.

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

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.  Variable flip angle three-dimensional fast spin-echo sequence combined with outer volume suppression for imaging trabecular bone structure of the proximal femur.

Authors:  Misung Han; Ko Chiba; Suchandrima Banerjee; Julio Carballido-Gamio; Roland Krug
Journal:  J Magn Reson Imaging       Date:  2014-06-23       Impact factor: 4.813

4.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

5.  Predicting proximal femoral strength using structural engineering models.

Authors:  Joyce H Keyak; Tadashi S Kaneko; Jamshid Tehranzadeh; Harry B Skinner
Journal:  Clin Orthop Relat Res       Date:  2005-08       Impact factor: 4.176

Review 6.  Structural and functional assessment of trabecular and cortical bone by micro magnetic resonance imaging.

Authors:  Felix W Wehrli
Journal:  J Magn Reson Imaging       Date:  2007-02       Impact factor: 4.813

7.  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.

Authors:  Shing Chun Benny Lam; Michael J Wald; Chamith S Rajapakse; Yinxiao Liu; Punam K Saha; Felix W Wehrli
Journal:  Bone       Date:  2011-07-19       Impact factor: 4.398

8.  Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study.

Authors:  S C E Schuit; M van der Klift; A E A M Weel; C E D H de Laet; H Burger; E Seeman; A Hofman; A G Uitterlinden; J P T M van Leeuwen; H A P Pols
Journal:  Bone       Date:  2004-01       Impact factor: 4.398

9.  Fall severity and bone mineral density as risk factors for hip fracture in ambulatory elderly.

Authors:  S L Greenspan; E R Myers; L A Maitland; N M Resnick; W C Hayes
Journal:  JAMA       Date:  1994-01-12       Impact factor: 56.272

Review 10.  Is a change in bone mineral density a sensitive and specific surrogate of anti-fracture efficacy?

Authors:  E Seeman
Journal:  Bone       Date:  2007-06-26       Impact factor: 4.398

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  7 in total

Review 1.  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

2.  MRI-based assessment of proximal femur strength compared to mechanical testing.

Authors:  Chamith S Rajapakse; Alexander R Farid; Daniel C Kargilis; Brandon C Jones; Jae S Lee; Alyssa J Johncola; Alexandra S Batzdorf; Snehal S Shetye; Michael W Hast; Gregory Chang
Journal:  Bone       Date:  2020-01-09       Impact factor: 4.398

3.  Influence of bone lesion location on femoral bone strength assessed by MRI-based finite-element modeling.

Authors:  Chamith S Rajapakse; Nishtha Gupta; Marissa Evans; Hamza Alizai; Malika Shukurova; Abigail L Hong; Nicholas J Cruickshank; Nirmal Tejwani; Kenneth Egol; Stephen Honig; Gregory Chang
Journal:  Bone       Date:  2019-03-07       Impact factor: 4.398

Review 4.  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

Review 5.  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

6.  Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Authors:  Cem M Deniz; Siyuan Xiang; R Spencer Hallyburton; Arakua Welbeck; James S Babb; Stephen Honig; Kyunghyun Cho; Gregory Chang
Journal:  Sci Rep       Date:  2018-11-07       Impact factor: 4.379

7.  The reproducibility of measuring trabecular bone parameters using a commercially available high-resolution magnetic resonance imaging approach: A pilot study.

Authors:  Sarah L West; Chamith S Rajapakse; Tammy Rayner; Rhiannon Miller; Michelle A Slinger; Greg D Wells
Journal:  Bone Rep       Date:  2018-04-26
  7 in total

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