3D morphometric analysis of calcified cartilage properties using micro-computed tomography
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. (2018-10-01)
S. Kauppinen, S.S. Karhula, J. Thevenot, T. Ylitalo, L. Rieppo, I. Kestilä, M. Haapea, I. Hadjab, M.A. Finnilä, E. Quenneville, M. Garon, H.K. Gahunia, K.P.H. Pritzker, M.D. Buschmann, S. Saarakkala, H.J. Nieminen, 3D morphometric analysis of calcified cartilage properties using micro-computed tomography, Osteoarthritis and Cartilage, Volume 27, Issue 1, 2019, Pages 172-180, ISSN 1063-4584, https://doi.org/10.1016/j.joca.2018.09.009
© 2018 The Authors. Published by Elsevier Ltd on behalf of Osteoarthritis Research Society International. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
https://urn.fi/URN:NBN:fi-fe202003097640
Tiivistelmä
Abstract
Objective: Our aim is to establish methods for quantifying morphometric properties of calcified cartilage (CC) from micro-computed tomography (μCT). 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 μ-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.
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