Conflict of interest: SBT is a paid consultant for Lilly and BioMeasures. The other authors declare that they have no competing financial interests.
Noninvasive assessment of osteoarthritis severity in human explants by multicontrast MRI
Article first published online: 29 MAR 2013
Copyright © 2013 Wiley Periodicals, Inc.
Magnetic Resonance in Medicine
Volume 71, Issue 2, pages 807–814, February 2014
How to Cite
Griebel, A. J., Trippel, S. B., Emery, N. C. and Neu, C. P. (2014), Noninvasive assessment of osteoarthritis severity in human explants by multicontrast MRI. Magn Reson Med, 71: 807–814. doi: 10.1002/mrm.24725
- Issue published online: 13 JAN 2014
- Article first published online: 29 MAR 2013
- Manuscript Accepted: 13 FEB 2013
- Manuscript Revised: 7 FEB 2013
- Manuscript Received: 2 JAN 2013
- NIH. Grant Numbers: S10 RR13880, AR047702
- NSF. Grant Number: CMMI 1100554
- Charles C. Chappelle Fellowship
- Veterans Administration
- Indiana University Research Infrastructure Fund
- human articular cartilage;
- displacements under applied loading with MRI (dualMRI);
- deformation and strain;
- quantitative MRI
Medical imaging has the potential to noninvasively diagnose early disease onset and monitor the success of repair therapies. Unfortunately, few reliable imaging biomarkers exist to detect cartilage diseases before advanced degeneration in the tissue.
In this study, we quantified the ability to detect osteoarthritis (OA) severity in human cartilage explants using a multicontrast magnetic resonance imaging (MRI) approach, inclusive of novel displacements under applied loading by MRI, relaxivity measures, and standard MRI.
Displacements under applied loading by MRI measures, which characterized the spatial micromechanical environment by 2D finite and Von Mises strains, were strong predictors of histologically assessed OA severity, both before and after controlling for factors, e.g., patient, joint region, and morphology. Relaxivity measures, sensitive to local macromolecular weight and composition, including T1ρ, but not T1 or T2, were predictors of OA severity. A combined multicontrast approach that exploited spatial variations in tissue biomechanics and extracellular matrix structure yielded the strongest relationships to OA severity.
Our results indicate that combining multiple MRI-based biomarkers has high potential for the noninvasive measurement of OA severity and the evaluation of potential therapeutic agents used in the treatment of early OA in animal and human trials. Magn Reson Med 71:807–814, 2014. © 2013 Wiley Periodicals, Inc.