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Home / Equine Research Bank / J Orthop Res / Evaluation of articular cartilage with quantitative MRI in a...
Journal of orthopaedic research : official publication of the Orthopaedic Research Society2020; 39(1); 63-73; doi: 10.1002/jor.24780

Evaluation of articular cartilage with quantitative MRI in an equine model of post-traumatic osteoarthritis.

Abstract: Chondral lesions lead to degenerative changes in the surrounding cartilage tissue, increasing the risk of developing post-traumatic osteoarthritis (PTOA). This study aimed to investigate the feasibility of quantitative magnetic resonance imaging (qMRI) for evaluation of articular cartilage in PTOA. Articular explants containing surgically induced and repaired chondral lesions were obtained from the stifle joints of seven Shetland ponies (14 samples). Three age-matched nonoperated ponies served as controls (six samples). The samples were imaged at 9.4 T. The measured qMRI parameters included T , T , continuous-wave T (CWT ), adiabatic T (AdT ), and T (AdT ) and relaxation along a fictitious field (T ). For reference, cartilage equilibrium and dynamic moduli, proteoglycan content and collagen fiber orientation were determined. Mean values and profiles from full-thickness cartilage regions of interest, at increasing distances from the lesions, were used to compare experimental against control and to correlate qMRI with the references. Significant alterations were detected by qMRI parameters, including prolonged T , CWT , and AdT in the regions adjacent to the lesions. The changes were confirmed by the reference methods. CWT was more strongly associated with the reference measurements and prolonged in the affected regions at lower spin-locking amplitudes. Moderate to strong correlations were found between all qMRI parameters and the reference parameters (ρ = -0.531 to -0.757). T , low spin-lock amplitude CWT , and AdT were most responsive to changes in visually intact cartilage adjacent to the lesions. In the context of PTOA, these findings highlight the potential of T , CWT , and AdT in evaluation of compositional and structural changes in cartilage.
© 2020 The Authors. Journal of Orthopaedic Research® published by Wiley Periodicals LLC on behalf of Orthopaedic Research Society.
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Publication Date: 2020-06-24 PubMed ID: 32543748PubMed Central: PMC7818146DOI: 10.1002/jor.24780Google Scholar: Lookup
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  • Evaluation Study
  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The researchers explored the usage of quantitative MRI (qMRI) to evaluate damage in cartilage tissue linked to post-traumatic osteoarthritis (PTOA) using an equine model. Significant alterations were detected in the cartilage regions adjacent to the lesions using qMRI parameters.

Research Method

  • The study focused on examining chondral lesions that induce degenerative changes in cartilage tissue, resulting in a higher possibility of PTOA.
  • The investigation was set up using articular explants from the stifle joints of seven Shetland ponies, where chondral lesions were surgically created and then repaired, resulting in 14 samples.
  • For control, explants from three non-operated ponies of the same breed were taken, generating six control samples.
  • The sample tissues were then subjected to imaging using qMRI at 9.4 T.

Quantitative MRI Parameters and References

  • The qMRI parameters that were measured in the study included T, T, Continuous-wave T (CWT), adiabatic T (AdT), and T (AdT) along with relaxation along a fictitious field (T).
  • Apart from the MRI parameters, this study also set certain reference parameters for a comprehensive evaluation. These included proteoglycan content and collagen fiber orientation along with equilibrium and dynamic moduli of the cartilage.
  • Through this approach, the researchers aimed at comparing the experimental findings against the controls and correlating qMRI parameters with set reference parameters.

Results and Findings

  • The results showed significant alterations detected by various qMRI parameters such as prolonged T, CWT, and AdT especially in the regions of cartilage adjacent to the induced lesions.
  • These changes also resonated when cross-verified with the reference methodologies, further confirming the observed alterations in the qMRI.
  • The study revealed a strong association of Continuous-wave T (CWT) with reference measures. Additionally, it was found that CWT is prolonged in the affected regions when tested at lower spin-lock amplitudes.
  • The analysis illustrated moderate to high levels of correlations between all qMRI parameters and the chosen reference parameters (ρ = -0.531 to -0.757).
  • Parameters such as T, low spin-lock amplitude CWT, and AdT were found particularly responsive to changes in visually intact cartilage located close to the lesions.

Conclusion

  • Considering the results obtained, the researchers concluded that T, CWT, and AdT parameters have the potential to effectively evaluate compositional and structural changes in cartilage in the context of post-traumatic osteoarthritis.
  • The study significantly strengthens the case for using qMRI as a non-invasive technique to detect and assess cartilage damage due to PTOA.

Cite This Article

APA
Kajabi AW, Casula V, Sarin JK, Ketola JH, Nykänen O, Te Moller NCR, Mancini IAD, Visser J, Brommer H, René van Weeren P, Malda J, Töyräs J, Nieminen MT, Nissi MJ. (2020). Evaluation of articular cartilage with quantitative MRI in an equine model of post-traumatic osteoarthritis. J Orthop Res, 39(1), 63-73. https://doi.org/10.1002/jor.24780

Publication

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
ISSN: 1554-527X
NlmUniqueID: 8404726
Country: United States
Language: English
Volume: 39
Issue: 1
Pages: 63-73

Researcher Affiliations

Kajabi, Abdul Wahed
  • Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
  • Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
Casula, Victor
  • Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
  • Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
Sarin, Jaakko K
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
Ketola, Juuso H
  • Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
Nykänen, Olli
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Te Moller, Nikae C R
  • Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Mancini, Irina A D
  • Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Visser, Jetze
  • Department of Orthopaedics, University Medical Center Utrecht, the Netherlands.
Brommer, Harold
  • Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
René van Weeren, P
  • Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Malda, Jos
  • Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
  • Department of Orthopaedics, University Medical Center Utrecht, the Netherlands.
Töyräs, Juha
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
  • Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.
  • School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.
Nieminen, Miika T
  • Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
  • Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
  • Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.
Nissi, Mikko J
  • Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
  • Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.

MeSH Terms

  • Animals
  • Cartilage, Articular / diagnostic imaging
  • Horses
  • Leg Injuries / complications
  • Magnetic Resonance Imaging / methods
  • Osteoarthritis / diagnostic imaging
  • Osteoarthritis / etiology

Conflict of Interest Statement

All the authors declare that there are no conflict of interests.

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