Cell quantification at the osteochondral interface from synchrotron radiation phase contrast micro-computed tomography images using a deep learning approach.

Autor: Xu H; Institute of Innovation Science and Technology, Shenyang University, Dadong District, Wanghua South Street No. 21, Shenyang, 110044, China. xuhao19901106@hotmail.com.; Paris Cité University CNRS INSERM, B3OA, UMR 7052, U 1271, 10 avenue de Verdun, Paris, 75010, France. xuhao19901106@hotmail.com., Olivier C; Grenoble Alpes University, INSERM STROBE, UA 7, 2280 rue de la piscine, Saint Martin d'Hères, 38400, France., Sajidy H; Grenoble Alpes University, INSERM STROBE, UA 7, 2280 rue de la piscine, Saint Martin d'Hères, 38400, France., Pallu S; Paris Cité University CNRS INSERM, B3OA, UMR 7052, U 1271, 10 avenue de Verdun, Paris, 75010, France., Portier H; Paris Cité University CNRS INSERM, B3OA, UMR 7052, U 1271, 10 avenue de Verdun, Paris, 75010, France., Peyrin F; Lab CREATIS, Univ Lyon, INSA Lyon, CNRS UMR 5220, INSERM U1206, 21 avenue Jean Capelle, Lyon, France., Chappard C; Paris Cité University CNRS INSERM, B3OA, UMR 7052, U 1271, 10 avenue de Verdun, Paris, 75010, France.; Sorbonne University, CNRS, INSERM, LIB UMR 7371, 15 rue de l'Ecole de Médecine, Paris, U 1146, 75006, France.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Nov 28; Vol. 14 (1), pp. 29619. Date of Electronic Publication: 2024 Nov 28.
DOI: 10.1038/s41598-024-81333-x
Abstrakt: Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocytes, and subchondral bone (SCB) containing osteocytes that interact with each other. In this study, we propose a new method for the three-dimensional (3D) segmentation of chondrocyte and osteocyte lacunae in CC and SCB from human knees, imaged using high resolution (650 nm) synchrotron radiation phase contrast micro-computed tomography (SR phase contrast micro-CT). Our approach is based on marker-controlled watershed (MCW) algorithm combined with a deep learning method (nnU-Net). We demonstrate that incorporating nnU-Net into the MCW process improves the identification and segmentation of cell lacunae. Using this method, we analyzed a subsample of fifteen cores extracted from the central area of the medial tibial plateaus. Several quantitative parameters (lacunar volume fraction, number density, volume, anisotropy and structure model index of cell lacunae) were measured to compare 10 control and 5 osteoarthritic knees. While no significant differences were observed in chondrocytes, osteocytes showed lower anisotropy (width/depth) and a tendency toward more spherical shapes in the osteoarthritic group compared to the control group. The phase contrast underlying the chondro-osseous border allowed to analyze separately CC from SCB in SR phase contrast micro-CT images. This new method may help to better understand the cellular behavior at the osteochondral interface in osteoarthritis.
Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Informed consent: All the participants are informed about the study, and they have all signed the informed consent form.
(© 2024. The Author(s).)
Databáze: MEDLINE
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