Original InvestigationAssessment 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
Section snippets
Image Acquisition
In vivo micro–magnetic resonance (μMR) images of the right distal radius from 20 female subjects (age range 50–75 years, 17 postmenopausal and 3 premenopausal) were drawn from study described previously (29). All subjects signed an informed consent in accordance with study guidelines of the institutional review board. None of the subjects had a history of fracture, treatment of osteoporosis, or bone cancer. Each subject had been scanned three times (baseline, follow-ups 1 and 2) over the course
Results
The μFE models derived from in vivo μMR images of the distal radius contained an average of 65,200 elements requiring approximately 13.7 minutes per 3D image data set. On average, 62% of the originally acquired volume was retained as the common volume for μFE analysis after retrospective registration. Good visual reproducibility and anatomical alignment are illustrated by the cross-sectional images as well as their BVF maps and 3D volume-rendered images from a subject at three scan time points (
Discussion
Reproducibility of MR or HR-pQCT image-derived structural and elastic parameters has been reported previously 26, 27, 28, 29, 39, 40. However, no prior studies have evaluated the reproducibility of μMR image-based nonlinear μFEA-derived mechanical parameters. The present work demonstrates a high level of longitudinal reproducibility and reliability for both TB yield and post-yield parameters in subjects who, based on their age, are more prone to osteoporosis-associated fracture.
Reproducibility
Acknowledgments
The authors declare that they have no conflicts of interest. This work was supported by National Institutes of Health grants R01 AR055647, R01 AR053156, R01 AR054439, K25 EB007646, and K25 AR060283.
References (42)
- et al.
Soft tissue complications of distal radius fractures
Hand Clinics
(2010) - et al.
The ability of three-dimensional structural indices to reflect mechanical aspects of trabecular bone
Bone
(1999) - et al.
A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models
J Biomech
(1995) - et al.
Computational finite element bone mechanics accurately predicts mechanical competence in the human radius of an elderly population
Bone
(2011) - et al.
Direct mechanics assessment of elastic symmetries and properties of trabecular bone architecture
J Biomech
(1996) - et al.
Trabecular bone strength predictions using finite element analysis of micro-scale images at limited spatial resolution
Bone
(2009) - et al.
High-resolution finite element models with tissue strength asymmetry accurately predict failure of trabecular bone
J Biomech
(2000) - et al.
Indirect determination of trabecular bone effective tissue failure properties using micro-finite element simulations
J Biomechan
(2008) - et al.
Bone strength at the distal radius can be estimated from high-resolution peripheral quantitative computed tomography and the finite element method
Bone
(2008) - et al.
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
Bone
(2011)
Elastic modulus and hardness of cortical and trabecular bone lamellae measured by nanoindentation in the human femur
J Biomech
Estimation of distal radius failure load with micro-finite element analysis models based on three-dimensional peripheral quantitative computed tomography images
Bone
Yield strain behavior of trabecular bone
J Biomech
Reproducibility and error sources of micro-MRI-based trabecular bone structural parameters of the distal radius and tibia
Bone
Long-term risk of osteoporotic fracture in Malmö
Osteoporosis Int
Incidence and cost of osteoporotic fractures in France during 2001. A methodological approach by the National Hospital Database
Osteoporosis Int
Radial and humeral fractures as predictors of subsequent hip, radial or humeral fractures in women, and their seasonal variation
Osteoporosis Int
Fracture of the distal forearm as a forecaster of subsequent hip fracture: a population-based cohort study with 24 years of follow-up
Calcif Tiss Int
Osteoporosis, etiology, diagnosis, and management
Correlation of trabecular bone structure with age, bone, mineral density, and osteoporotic status: in vivo studies in the distal radius using high-resolution magnetic resonance imaging
J Bone Miner Res
Digital topological analysis of in vivo magnetic resonance microimages of trabecular bone reveals structural implications of osteoporosis
J Bone Miner Res
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Grants supporting the research: National Institutes of Health grants R01 AR055647, R01 AR053156, R01 AR054439, K25 EB007646, and K25 AR060283.