Alexandra Hotca1,2, Chamith S Rajapakse3, Chen Cheng4, Stephen Honig5, Kenneth Egol6, Ravinder R Regatte2, Punam K Saha4, Gregory Chang1,2. 1. Department of Radiology, NYU Langone Medical Center, Center for Musculoskeletal Care, New York, New York, USA. 2. Department of Radiology, NYU Langone Medical Center, Center for Biomedical Imaging, New York, New York, USA. 3. Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA. 4. Department of Radiology and Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA. 5. Osteoporosis Center, Hospital for Joint Diseases, NYU Langone Medical Center, New York, New York, USA. 6. Department of Orthopedic Surgery, Hospital for Joint Diseases, NYU Langone Medical Center, New York, New York, USA.
Abstract
PURPOSE: To evaluate the within-day and between-day measurement reproducibility of in vivo 3D MRI assessment of trabecular bone microarchitecture of the proximal femur. MATERIALS AND METHODS: 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). RESULTS: 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. CONCLUSION: 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.
PURPOSE: To evaluate the within-day and between-day measurement reproducibility of in vivo 3D MRI assessment of trabecular bone microarchitecture of the proximal femur. MATERIALS AND METHODS: 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). RESULTS: 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. CONCLUSION: 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.
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
Authors: Charles H Chesnut; Sharmilla Majumdar; David C Newitt; Andrew Shields; Jan Van Pelt; Ellen Laschansky; Moise Azria; Audrey Kriegman; Melvin Olson; Erik F Eriksen; Linda Mindeholm Journal: J Bone Miner Res Date: 2005-04-27 Impact factor: 6.741
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