Sami Kauppinen, Sakari S. Karhula, Jerome Thevenot, Tuomo Ylitalo, Lassi Rieppo, Iida Kestilä, Marianne Haapea, Insaf Hadjab, Mikko A. Finnilä, E. Quenneville, M. Garon, H. K. Gahunia, Ken P. H. Pritzker, Michael D. Buschmann, Simo Saarakkala and Heikki J. Nieminen
Article (2019)
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Abstract
OBJECTIVE: Our aim is to establish methods for quantifying morphometric properties of calcified cartilage (CC) from micro-computed tomography (muCT). Furthermore, we evaluated the feasibility of these methods in investigating relationships between osteoarthritis (OA), tidemark surface morphology and open subchondral channels (OSCCs). METHOD: Samples (n = 15) used in this study were harvested from human lateral tibial plateau (n = 8). Conventional roughness and parameters assessing local 3-dimensional (3D) surface variations were used to quantify the surface morphology of the CC. Subchondral channel properties (percentage, density, size) were also calculated. As a reference, histological sections were evaluated using Histopathological osteoarthritis grading (OARSI) and thickness of CC and subchondral bone (SCB) was quantified. RESULTS: OARSI grade correlated with a decrease in local 3D variations of the tidemark surface (amount of different surface patterns (rs = -0.600, P = 0.018), entropy of patterns (EP) (rs = -0.648, P = 0.018), homogeneity index (HI) (rs = 0.555, P = 0.032)) and tidemark roughness (TMR) (rs = -0.579, P = 0.024). Amount of different patterns (ADP) and EP associated with channel area fraction (CAF) (rp = 0.876, P < 0.0001; rp = 0.665, P = 0.007, respectively) and channel density (CD) (rp = 0.680, P = 0.011; rp = 0.582, P = 0.023, respectively). TMR was associated with CAF (rp = 0.926, P < 0.0001) and average channel size (rp = 0.574, P = 0.025). CC topography differed statistically significantly in early OA vs healthy samples. CONCLUSION: We introduced a mu-CT image method to quantify 3D CC topography and perforations through CC. CC topography was associated with OARSI grade and OSCC properties; this suggests that the established methods can detect topographical changes in tidemark and CC perforations associated with OA.
Uncontrolled Keywords
| Subjects: |
1800 Chemical engineering > 1800 Chemical engineering 1900 Biomedical engineering > 1900 Biomedical engineering 9000 Health sciences > 9000 Health sciences |
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| Department: | Department of Chemical Engineering |
| Funders: | Academy of Finland, Sigrid Jusélius Foundation, European Research Council under the European Union's Seventh Framework Programme, University of Oulu |
| Grant number: | 268378; 303786, (FP/2007-2013)/ERC Grant Agreement no. 336267 |
| PolyPublie URL: | https://publications.polymtl.ca/4965/ |
| Journal Title: | Osteoarthritis and Cartilage (vol. 27, no. 1) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.joca.2018.09.009 |
| Official URL: | https://doi.org/10.1016/j.joca.2018.09.009 |
| Date Deposited: | 24 Mar 2022 12:01 |
| Last Modified: | 09 Apr 2025 02:31 |
| Cite in APA 7: | Kauppinen, S., Karhula, S. S., Thevenot, J., Ylitalo, T., Rieppo, L., Kestilä, I., Haapea, M., Hadjab, I., Finnilä, M. A., Quenneville, E., Garon, M., Gahunia, H. K., Pritzker, K. P. H., Buschmann, M. D., Saarakkala, S., & Nieminen, H. J. (2019). 3D morphometric analysis of calcified cartilage properties using micro-computed tomography. Osteoarthritis and Cartilage, 27(1), 172-180. https://doi.org/10.1016/j.joca.2018.09.009 |
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