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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Töyräs, Juha
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (28/28 displayed)
- 2023Broadband scattering properties of articular cartilage zones and their relationship with the heterogenous structure of articular cartilage extracellular matrixcitations
- 2021Infrared fiber-optic spectroscopy detects bovine articular cartilage degenerationcitations
- 2020Comparison of water, hydroxyproline, uronic acid and elastin contents of bovine knee ligaments and patellar tendon and their relationships with biomechanical propertiescitations
- 2019T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties of articular cartilage
- 2019T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties of articular cartilagecitations
- 2019Arthroscopic determination of cartilage proteoglycan content and collagen network structure with near-infrared spectroscopycitations
- 2019Effects of body mass on microstructural features of the osteochondral unit: A comparative analysis of 37 mammalian speciescitations
- 2018Quantitative susceptibility mapping of articular cartilage: ex vivo findings at multiple orientations and following different degradation treatmentscitations
- 2017Contrast-enhanced computed tomography enables quantitative evaluation of tissue properties at intrajoint regions in cadaveric knee cartilagecitations
- 2017Corrigendum to “Multimodality scoring of chondral injuries in the equine fetlock joint ex vivo” [Osteoarthritis Cartilage 25 (5) (2017 May) 790–798] (S1063458416304666), (10.1016/j.joca.2016.12.007))citations
- 2017Tissue viscoelasticity is related to tissue composition but may not fully predict the apparent-level viscoelasticity in human trabecular bone – an experimental and finite element studycitations
- 2016Differences in acoustic impedance of fresh and embedded human trabecular bone samples - scanning acoustic microscopy and numerical evaluationcitations
- 2015Ultrasound backscattering is anisotropic in bovine articular cartilagecitations
- 2015Inter-individual changes in cortical bone three-dimensional microstructure and elastic coefficient have opposite effects on radial sound speedcitations
- 2014Deformation of articular cartilage during static loading of a knee joint - experimental and finite element analysiscitations
- 2013New disposable forehead electrode set with excellent signal quality and imaging compatibilitycitations
- 2007Effect of human trabecular bone composition on its electrical propertiescitations
- 2006Interrelationships between electrical properties and microstructure of human trabecular bonecitations
- 2006T2 relaxation time mapping reveals age- and species-related diversity of collagen network architecture in articular cartilagecitations
- 2006Collagen network primarily controls poisson's ratio of bovine articular cartilage in compressioncitations
- 2005Prediction of mechanical properties of human trabecular bone by electrical measurementscitations
- 2005Improvement of arthroscopic cartilage stiffness probe using amorphous diamond coatingcitations
- 2004Prediction of biomechanical properties of articular cartilage with quantitative magnetic resonance imagingcitations
- 2003Structure-function relationships in enzymatically modified articular cartilagecitations
- 2003Electrical and dielectric properties of bovine trabecular bone - Relationships with mechanical properties and mineral densitycitations
- 2002Ultrasonic characterization of articular cartilage
- 2002Comparison of the equilibrium response of articular cartilage in unconfined compression, confined compression and indentationcitations
- 2000Quantitative MR microscopy of enzymatically degraded articular cartilage
Places of action
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article
T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties of articular cartilage
Abstract
Objective: To investigate the potential of quantitative susceptibility mapping (QSM) and T2* relaxation time mapping to determine mechanical and structural properties of articular cartilage via univariate and multivariate analysis. Methods: Samples were obtained from a cartilage repair study, in which surgically induced full-thickness chondral defects in the stifle joints of seven Shetland ponies caused post-traumatic osteoarthritis (14 samples). Control samples were collected from non-operated joints of three animals (6 samples). Magnetic resonance imaging (MRI) was performed at 9.4 T, using a 3-D multi-echo gradient echo sequence. Biomechanical testing, digital densitometry (DD) and polarized light microscopy (PLM) were utilized as reference methods. To compare MRI parameters with reference parameters (equilibrium and dynamic moduli, proteoglycan content, collagen fiber angle and -anisotropy), depth-wise profiles of MRI parameters were acquired at the biomechanical testing locations. Partial least squares regression (PLSR) and Spearman's rank correlation were utilized in data analysis. Results: PLSR indicated a moderate-to-strong correlation (ρ = 0.49–0.66) and a moderate correlation (ρ = 0.41–0.55) between the reference values and T2* relaxation time and QSM profiles, respectively (excluding superficial-only results). PLSR correlations were noticeably higher than direct correlations between bulk MRI and reference parameters. 3-D parametric surface maps revealed spatial variations in the MRI parameters between experimental and control groups. Conclusion: Quantitative parameters from 3-D multi-echo gradient echo MRI can be utilized to predict the properties of articular cartilage. With PLSR, especially the T2* relaxation time profile appeared to correlate with the properties of cartilage. Furthermore, the results suggest that degeneration affects the QSM-contrast in the cartilage. However, this change in contrast is not easy to quantify.