Micro-computed tomography-based collagen orientation and anisotropy analysis of rabbit articular cartilage |
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Author: | Ojanen, Simo P.1,2; Finnilä, Mikko A. J.1,2; Herzog, Walter3; |
Organizations: |
1Department of Technical Physics, University of Eastern Finland, P.O. Box 1627, 70210, Kuopio, Finland 2Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland 3Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
4Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
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Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 3.7 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20230925136648 |
Language: | English |
Published: |
Springer Nature,
2023
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Publish Date: | 2023-09-25 |
Description: |
AbstractThe 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 (µCT)-imaging. Osteochondral samples from the femoral condyles were collected from healthy (N = 8, both legs) and experimental OA rabbit model with anterior cruciate ligament transection (N = 14, single leg). Samples were processed for cartilage µCT-imaging and histological evaluation with polarized light microscopy (PLM). Structure tensor analysis was used to analyse the collagen fibre orientation and anisotropy of the µCT-images, and PLM was used as a validation for structural changes. Depth-wise comparison of collagen fibre orientation acquired with µCT-imaging and PLM correlated well, but the values obtained with PLM were systematically greater than those measured with µCT-imaging. Structure tensor analysis allowed for 3D quantification of collagen network anisotropy. Finally, µCT-imaging revealed only minor differences between the control and experimental groups. see all
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Series: |
Annals of biomedical engineering |
ISSN: | 0090-6964 |
ISSN-E: | 1573-9686 |
ISSN-L: | 0090-6964 |
Volume: | 51 |
Issue: | 8 |
Pages: | 1769 - 1780 |
DOI: | 10.1007/s10439-023-03183-4 |
OADOI: | https://oadoi.org/10.1007/s10439-023-03183-4 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
217 Medical engineering |
Subjects: | |
Funding: |
This work was supported by the following funding sources: Saastamoinen Foundation, Päivikki ja Sakari Sohlberg Foundation, Finnish Cultural Foundation North Savo Regional Fund (Grant No. 65171624), Finnish Cultural Foundation (Grant No. 00180796), Emil Aaltonen Foundation, The Canadian Institutes of Health Research (CIHR), The Canada Research Chair Programme, The Killam Foundation, The Nigg Chair at the University of Calgary, The Arthritis Society—Canada, Academy of Finland (Grant Nos. 268378 and 303786, 324529), Sigrid Juselius Foundation, European Research Council under the European Union’s Seventh Framework Programme (FP/2007–2013)/ERC Grant Agreement No. 336267. |
EU Grant Number: |
(336267) 3D-OA-HISTO - Development of 3D Histopathological Grading of Osteoarthritis |
Academy of Finland Grant Number: |
268378 303786 324529 |
Detailed Information: |
268378 (Academy of Finland Funding decision) 303786 (Academy of Finland Funding decision) 324529 (Academy of Finland Funding decision) |
Copyright information: |
© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
https://creativecommons.org/licenses/by/4.0/ |