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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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Rieppo, Lassi
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
- 2023Micro-computed Tomography-Based Collagen Orientation and Anisotropy Analysis of Rabbit Articular Cartilagecitations
- 2021Infrared fiber-optic spectroscopy detects bovine articular cartilage degenerationcitations
- 2018Quantitative susceptibility mapping of articular cartilage: ex vivo findings at multiple orientations and following different degradation treatmentscitations
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article
Micro-computed Tomography-Based Collagen Orientation and Anisotropy Analysis of Rabbit Articular Cartilage
Abstract
<jats:title>Abstract</jats:title><jats:p>The collagen network is the highly organized backbone of articular cartilage providing tissue tensile stiffness and restricting proteoglycan bleaching out of the tissue. Osteoarthritis (OA) diminishes proper collagen network adaptation. Our aim was to provide quantitative three-dimensional (3D) information of the cartilage collagen network adaptation in early osteoarthritis using high resolution micro-computed tomography (<jats:italic>µ</jats:italic>CT)-imaging. Osteochondral samples from the femoral condyles were collected from healthy (<jats:italic>N</jats:italic> = 8, both legs) and experimental OA rabbit model with anterior cruciate ligament transection (<jats:italic>N</jats:italic> = 14, single leg). Samples were processed for cartilage <jats:italic>µ</jats:italic>CT-imaging and histological evaluation with polarized light microscopy (PLM). Structure tensor analysis was used to analyse the collagen fibre orientation and anisotropy of the <jats:italic>µ</jats:italic>CT-images, and PLM was used as a validation for structural changes. Depth-wise comparison of collagen fibre orientation acquired with <jats:italic>µ</jats:italic>CT-imaging and PLM correlated well, but the values obtained with PLM were systematically greater than those measured with <jats:italic>µ</jats:italic>CT-imaging. Structure tensor analysis allowed for 3D quantification of collagen network anisotropy. Finally, <jats:italic>µ</jats:italic>CT-imaging revealed only minor differences between the control and experimental groups.</jats:p>