Journal article
Quantitative imaging of peripheral trabecular bone microarchitecture using MDCT
Medical physics (Lancaster), Vol.45(1), pp.236-249
01/2018
DOI: 10.1002/mp.12632
PMCID: PMC6345384
PMID: 29064579
Abstract
Osteoporosis associated with reduced bone mineral density (BMD) and microarchitectural changes puts patients at an elevated risk of fracture. Modern multidetector row CT (MDCT) technology, producing high spatial resolution at increasingly lower dose radiation, is emerging as a viable modality for trabecular bone (Tb) imaging. Wide variation in CT scanners raises concerns of data uniformity in multisite and longitudinal studies. A comprehensive cadaveric study was performed to evaluate MDCT-derived Tb microarchitectural measures. A human pilot study was performed comparing continuity of Tb measures estimated from two MDCT scanners with significantly different image resolution features. Micro-CT imaging of cadaveric ankle specimens (n=25) was used to examine the validity of MDCT-derived Tb microarchitectural measures. Repeat scan reproducibility of MDCT-based Tb measures and their ability to predict mechanical properties were examined. To assess multiscanner data continuity of Tb measures, the distal tibias of 20 volunteers (age:26.2±4.5Y,10F) were scanned using the Siemens SOMATOM Definition Flash and the higher resolution Siemens SOMATOM Force scanners with an average 45-day time gap between scans. The correlation of Tb measures derived from the two scanners over 30% and 60% peel regions at the 4% to 8% of distal tibia was analyzed. MDCT-based Tb measures characterizing bone network area density, plate-rod microarchitecture, and transverse trabeculae showed good correlations (r∈0.85,0.92) with the gold standard micro-CT-derived values of matching Tb measures. However, other MDCT-derived Tb measures characterizing trabecular thickness and separation, erosion index, and structure model index produced weak correlation (r<0.8) with their micro-CT-derived values. Most MDCT Tb measures were found repeatable (ICC∈0.94,0.98). The Tb plate-width measure showed a strong correlation (r = 0.89) with experimental yield stress, while the transverse trabecular measure produced the highest correlation (r = 0.81) with Young's modulus. The data continuity experiment showed that, despite significant differences in image resolution between two scanners (10% MTF along xy-plane and z-direction - Flash: 16.2 and 17.9 lp/cm; Force: 24.8 and 21.0 lp/cm), most Tb measures had high Pearson correlations (r > 0.95) between values estimated from the two scanners. Relatively lower correlation coefficients were observed for the bone network area density (r = 0.91) and Tb separation (r = 0.93) measures. Most MDCT-derived Tb microarchitectural measures are reproducible and their values derived from two scanners strongly correlate with each other as well as with bone strength. This study has highlighted those MDCT-derived measures which show the greatest promise for characterization of bone network area density, plate-rod and transverse trabecular distributions with a good correlation (r ≥ 0.85) compared with their micro-CT-derived values. At the same time, other measures representing trabecular thickness and separation, erosion index, and structure model index produced weak correlations (r < 0.8) with their micro-CT-derived values, failing to accurately portray the projected trabecular microarchitectural features. Strong correlations of Tb measures estimated from two scanners suggest that image data from different scanners can be used successfully in multisite and longitudinal studies with linear calibration required for some measures. In summary, modern MDCT scanners are suitable for effective quantitative imaging of peripheral Tb microarchitecture if care is taken to focus on appropriate quantitative metrics.
Details
- Title: Subtitle
- Quantitative imaging of peripheral trabecular bone microarchitecture using MDCT
- Creators
- Cheng Chen - Department of Electrical and Computer Engineering, College of Engineering, University of Iowa, Iowa City, IA, USAXiaoliu Zhang - Department of Electrical and Computer Engineering, College of Engineering, University of Iowa, Iowa City, IA, USAJunfeng Guo - Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA, USADakai Jin - Department of Electrical and Computer Engineering, College of Engineering, University of Iowa, Iowa City, IA, USAElena M Letuchy - Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USATrudy L Burns - Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USASteven M Levy - Department of Preventive and Community Dentistry, College of Dentistry, University of Iowa, Iowa City, IA, USAEric A Hoffman - Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA, USAPunam K Saha - Department of Radiology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Medical physics (Lancaster), Vol.45(1), pp.236-249
- Publisher
- United States
- DOI
- 10.1002/mp.12632
- PMID
- 29064579
- PMCID
- PMC6345384
- ISSN
- 0094-2405
- eISSN
- 2473-4209
- Grant note
- R01 AR054439 / NIAMS NIH HHS P30 ES005605 / NIEHS NIH HHS
- Language
- English
- Date published
- 01/2018
- Academic Unit
- Preventive and Community Dentistry; Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Epidemiology; Internal Medicine
- Record Identifier
- 9983917682002771
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