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 Lam; Michael J Wald; Chamith S Rajapakse; Yinxiao Liu; Punam K Saha; Felix W Wehrli

doi:10.1016/j.bone.2011.07.010

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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

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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 Lam, Michael J Wald, Chamith S Rajapakse, Yinxiao Liu, Punam K Saha and Felix W Wehrli

Bone (New York, N.Y.), Vol.49(4), pp.895-903

10/2011

DOI: 10.1016/j.bone.2011.07.010

PMCID: PMC3167016

PMID: 21784189

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https://www.ncbi.nlm.nih.gov/pmc/articles/3167016View

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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 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.

Mechanics

Osteoporosis

trabecular bone

virtual bone biopsy

reproducibility

structure

Details

Title: Subtitle: 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
Creators: Shing Chun Benny Lam - Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania 3400 Spruce Street, Philadelphia, PA 19104
Michael J Wald - Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania 3400 Spruce Street, Philadelphia, PA 19104
Chamith S Rajapakse - Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania 3400 Spruce Street, Philadelphia, PA 19104
Yinxiao Liu - Department of Electrical and Computer Engineering, University of Iowa, 3414 Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242
Punam K Saha - Department of Electrical and Computer Engineering, University of Iowa, 3414 Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242
Felix W Wehrli - Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania 3400 Spruce Street, Philadelphia, PA 19104
Resource Type: Journal article
Publication Details: Bone (New York, N.Y.), Vol.49(4), pp.895-903
DOI: 10.1016/j.bone.2011.07.010
PMID: 21784189
PMCID: PMC3167016
NLM abbreviation: Bone
ISSN: 8756-3282
eISSN: 1873-2763
Grant note: name: NIH, award: R01 AR054439
Language: English
Date published: 10/2011
Academic Unit: Radiology; Electrical and Computer Engineering
Record Identifier: 9984051753302771

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