Osteochondral repair: evaluation with sweep imaging with fourier transform in an equine model.
Abstract: To evaluate the status of articular cartilage and bone in an equine model of spontaneous repair by using the sweep imaging with Fourier transform (SWIFT) magnetic resonance (MR) imaging technique. Methods: Experiments were approved by the Utrecht University Animal Ethics Committee. Six-millimeter-diameter chondral (n = 5) and osteochondral (n = 5, 3-4 mm deep into subchondral bone) defects were created in the intercarpal joints of seven 2-year-old horses and examined with SWIFT at 9.4 T after spontaneous healing for 12 months. Conventional T2 maps and gradient-echo images were obtained for comparison, and histologic assessment of cartilage and micro-computed tomography (CT) of bone were performed for reference. Signal-to-noise ratio (SNR) analysis was performed, and a radiologist evaluated the MR images. Structural bone parameters were derived from SWIFT and micro-CT datasets. Significance of differences was investigated with the Wilcoxon signed rank test and Pearson correlation analysis. Results: SWIFT was able to depict the different outcomes of spontaneous healing of focal chondral versus osteochondral defects. SWIFT produced constant signal intensity throughout cartilage, whereas T2 mapping showed elevated T2 values (P = .06) in repair tissue (mean T2 in superficial region of interest in an osteochondral lesion = 50.0 msec ± 10.2) in comparison to adjacent intact cartilage (mean T2 = 32.7 msec ± 4.2). The relative SNR in the subchondral plate with SWIFT (0.91) was more than four times higher than that with conventional fast spin-echo (0.12) and gradient-echo (0.19) MR imaging. The correlation between bone volume-to-tissue volume fractions determined with SWIFT and micro-CT was significant (r = 0.83, P < .01). Conclusions: SWIFT enabled assessment of spontaneous osteochondral repair in an equine model.
© RSNA, 2013.
Publication Date: 2013-05-14 PubMed ID: 23674789DOI: 10.1148/radiol.13121433Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
- Articular Cartilage
- Clinical Findings
- Clinical Pathology
- Clinical Study
- Diagnosis
- Diagnostic Imaging
- Diagnostic Technique
- Disease control
- Disease Diagnosis
- Disease Management
- Disease Treatment
- Equine Health
- Equine model
- Imaging Techniques
- Magnetic Resonance Imaging
- Radiology
- Subchondral Bone
- Veterinary Medicine
- Veterinary Practice
- Veterinary Procedure
- Veterinary Research
Summary
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The study uses a cutting-edge magnetic resonance (MR) imaging technique to examine how chondral and osteochondral defects heal in horses over a 12-month period. The findings show promising accuracy in the assessment of spontaneous osteochondral repairs.
Objective
The research aimed to analyze the efficiency and accuracy of the Sweep Imaging with Fourier Transform (SWIFT) technique to evaluate bone and articular cartilage status in an equine model undergoing spontaneous repairs.
Methods
- The research was approved by the Utrecht University Animal Ethics Committee.
- Defects of 6 mm diameter were created in the intercarpal joints of seven 2-year-old horses.
- Chondral (n=5) and osteochondral (n=5) defects were assessed using SWIFT at 9.4 T, observing spontaneous healing over 12 months.
- The research included conventional T2 maps and gradient-echo images for comparison purposes. Additionally, histologic assessments of the cartilage and micro-computed tomography (CT) of the bone were performed for reference.
- Structural bone parameters were obtained from both SWIFT and micro-CT data sets, while the Wilcoxon signed rank test and Pearson correlation analysis were used to understand the significance of differences.
Results
- SWIFT successfully demonstrated varying results of spontaneous healing in focal chondral versus osteochondral defects.
- Moreover, it produced a consistently strong signal intensity throughout cartilage, which was more effective compared to T2 mapping.
- The signal-to-noise ratio (SNR) of SWIFT was over four times higher than that of conventional fast spin-echo and gradient-echo MR imaging.
- A significant correlation (r = 0.83, P < .01) existed between the bone volume-to-tissue volume fractions determined by both SWIFT and micro-CT.
Conclusions
SWIFT has shown effective results in assessing spontaneous osteochondral repair in an equine model, suggesting potentials for further clinical applications in such scenarios.
Cite This Article
APA
Rautiainen J, Lehto LJ, Tiitu V, Kiekara O, Pulkkinen H, Brünott A, van Weeren R, Brommer H, Brama PA, Ellermann J, Kiviranta I, Nieminen MT, Nissi MJ.
(2013).
Osteochondral repair: evaluation with sweep imaging with fourier transform in an equine model.
Radiology, 269(1), 113-121.
https://doi.org/10.1148/radiol.13121433 Publication
Researcher Affiliations
- Department of Applied Physics, A. I. Virtanen Institute for Molecular Sciences, and Institute of Biomedicine, Anatomy, University of Eastern Finland, PO Box 1627, 70211 Kuopio, Finland; Department of Equine Sciences, Faculty of Veterinary Medicine, University of Utrecht, Utrecht, the Netherlands; Department of Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin, Ireland; Center for Magnetic Resonance Research, Departments of Radiology and Orthopaedic Surgery, University of Minnesota, Minneapolis, Minn; Department of Orthopaedics and Traumatology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Department of Orthopaedics and Traumatology, Jyväskylä Central Hospital, Jyväskylä, Finland; Department of Diagnostic Radiology, Institute of Diagnostics, University of Oulu, Oulu, Finland; Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.
MeSH Terms
- Algorithms
- Animals
- Fourier Analysis
- Fracture Healing
- Fractures, Bone / pathology
- Fractures, Cartilage / pathology
- Horses
- Image Enhancement / methods
- Image Interpretation, Computer-Assisted / methods
- Joints / injuries
- Joints / pathology
- Magnetic Resonance Imaging / methods
- Reproducibility of Results
- Sensitivity and Specificity
Citations
This article has been cited 8 times.- Lombardi AF, Guma M, Chung CB, Chang EY, Du J, Ma YJ. Ultrashort echo time magnetic resonance imaging of the osteochondral junction. NMR Biomed 2023 Feb;36(2):e4843.
- Tóth F, David FH, LaFond E, Wang L, Ellermann JM, Carlson CS. In vivo visualization using MRI T(2) mapping of induced osteochondrosis and osteochondritis dissecans lesions in goats undergoing controlled exercise. J Orthop Res 2017 Apr;35(4):868-875.
- Moran CJ, Ramesh A, Brama PA, O'Byrne JM, O'Brien FJ, Levingstone TJ. The benefits and limitations of animal models for translational research in cartilage repair. J Exp Orthop 2016 Dec;3(1):1.
- Li H, Qian J, Chen J, Zhong K, Chen S. Osteochondral repair with synovial membrane‑derived mesenchymal stem cells. Mol Med Rep 2016 Mar;13(3):2071-7.
- Ashinsky BG, Coletta CE, Bouhrara M, Lukas VA, Boyle JM, Reiter DA, Neu CP, Goldberg IG, Spencer RG. Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging. Osteoarthritis Cartilage 2015 Oct;23(10):1704-12.
- Zhang J, Idiyatullin D, Corum CA, Kobayashi N, Garwood M. Gradient-modulated SWIFT. Magn Reson Med 2016 Feb;75(2):537-46.
- Rautiainen J, Nissi MJ, Salo EN, Tiitu V, Finnilä MAJ, Aho OM, Saarakkala S, Lehenkari P, Ellermann J, Nieminen MT. Multiparametric MRI assessment of human articular cartilage degeneration: Correlation with quantitative histology and mechanical properties. Magn Reson Med 2015 Jul;74(1):249-259.
- Oei EH, van Tiel J, Robinson WH, Gold GE. Quantitative radiologic imaging techniques for articular cartilage composition: toward early diagnosis and development of disease-modifying therapeutics for osteoarthritis. Arthritis Care Res (Hoboken) 2014 Aug;66(8):1129-41.
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