3D morphometric analysis of calcified cartilage properties using micro-computed tomography

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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 , vol. 27 , no. 1 , pp. 172-180 . https://doi.org/10.1016/j.joca.2018.09.009

Title: 3D morphometric analysis of calcified cartilage properties using micro-computed tomography
Author: 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.
Contributor: University of Helsinki, Department of Physics
University of Helsinki, Department of Physics
Date: 2019-01
Language: eng
Number of pages: 9
Belongs to series: Osteoarthritis and Cartilage
ISSN: 1063-4584
URI: http://hdl.handle.net/10138/290311
Abstract: Objective: Our aim is to establish methods for quantifying morphometric properties of calcified cartilage (CC) from micro-computed tomography (mu CT). 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 (r(s) = -0.600, P = 0.018), entropy of patterns (EP) (r(s) = -0.648, P = 0.018), homogeneity index (HI) (r(s) = 0.555, P = 0.032)) and tidemark roughness (TMR) (r(s) = -0.579, P = 0.024). Amount of different patterns (ADP) and EP associated with channel area fraction (CAF) (r(p) = 0.876, P <0.0001; r(p) = 0.665, P = 0.007, respectively) and channel density (CD) (r(p) = 0.680, P = 0.011; r(p) = 0.582, P = 0.023, respectively). TMR was associated with CAF (r(p) = 0.926, P <0.0001) and average channel size (r(p) = 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. (c) 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/).
Subject: Osteoarthritis
Calcified cartilage
Micro-computed tomography
318 Medical biotechnology
114 Physical sciences

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