Journal article
In vivo measurement reproducibility of femoral neck microarchitectural parameters derived from 3T MR images
Journal of magnetic resonance imaging, Vol.42(5), pp.1339-1345
11/2015
DOI: 10.1002/jmri.24892
PMCID: PMC4589420
PMID: 25824566
Abstract
To evaluate the within-day and between-day measurement reproducibility of in vivo 3D MRI assessment of trabecular bone microarchitecture of the proximal femur.
This Health Insurance Portability and Accountability Act (HIPPA)-compliant, Institutional Review Board (IRB)-approved study was conducted on 11 healthy subjects (mean age = 57.4 ± 14.1 years) with written informed consent. All subjects underwent a 3T MRI hip scan in vivo (0.234 × 0.234 × 1.5 mm) at three timepoints: baseline, second scan same day (intrascan), and third scan 1 week later (interscan). We applied digital topological analysis and volumetric topological analysis to compute the following microarchitectural parameters within the femoral neck: total bone volume, bone volume fraction, markers of trabecular number (skeleton density), connectivity (junctions), plate-like structure (surfaces), plate width, and trabecular thickness. Reproducibility was assessed using root-mean-square coefficient of variation (RMS-CV) and intraclass correlation coefficient (ICC).
The within-day RMS-CVs ranged from 2.3% to 7.8%, and the between-day RMS-CVs ranged from 4.0% to 7.3% across all parameters. The within-day ICCs ranged from 0.931 to 0.989, and the between-day ICCs ranged from 0.934 to 0.971 across all parameters.
These results demonstrate high reproducibility for trabecular bone microarchitecture measures derived from 3T MR images of the proximal femur. The measurement reproducibility is within a range suitable for clinical cross-sectional and longitudinal studies in osteoporosis.
Details
- Title: Subtitle
- In vivo measurement reproducibility of femoral neck microarchitectural parameters derived from 3T MR images
- Creators
- Alexandra Hotca - Department of Radiology, NYU Langone Medical Center, Center for Biomedical Imaging, New York, New York, USAChamith S Rajapakse - Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USAChen Cheng - Department of Radiology and Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USAStephen Honig - Osteoporosis Center, Hospital for Joint Diseases, NYU Langone Medical Center, New York, New York, USAKenneth Egol - Department of Orthopedic Surgery, Hospital for Joint Diseases, NYU Langone Medical Center, New York, New York, USARavinder R Regatte - Department of Radiology, NYU Langone Medical Center, Center for Biomedical Imaging, New York, New York, USAPunam K Saha - Department of Radiology and Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USAGregory Chang - Department of Radiology, NYU Langone Medical Center, Center for Biomedical Imaging, New York, New York, USA
- Resource Type
- Journal article
- Publication Details
- Journal of magnetic resonance imaging, Vol.42(5), pp.1339-1345
- Publisher
- United States
- DOI
- 10.1002/jmri.24892
- PMID
- 25824566
- PMCID
- PMC4589420
- ISSN
- 1053-1807
- eISSN
- 1522-2586
- Grant note
- K23 AR059748 / NIAMS NIH HHS R01 AR066008 / NIAMS NIH HHS
- Language
- English
- Date published
- 11/2015
- Academic Unit
- Radiology; Electrical and Computer Engineering
- Record Identifier
- 9984051530102771
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