University of Oulu

Väärälä, A, Casula, V, Peuna, A, et al. Predicting osteoarthritis onset and progression with 3D texture analysis of cartilage MRI DESS: 6-year data from osteoarthritis initiative. J Orthop Res. 2022; 40: 2597- 2608. doi:10.1002/jor.25293

Predicting osteoarthritis onset and progression with 3D texture analysis of cartilage MRI DESS : 6-year data from osteoarthritis initiative

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Author: Väärälä, Ari1; Casula, Victor1,2; Peuna, Arttu1,2,3;
Organizations: 1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
2Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland
3Department of Medical Imaging, Central Finland Central Hospital, Jyväskylä, Finland
4Department of Regenerative Medicine, State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
5Departments of Orthopedics, Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
6Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
7Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.6 MB)
Persistent link:
Language: English
Published: John Wiley & Sons, 2022
Publish Date: 2022-09-30


In this study, we developed a gray level co-occurrence matrix-based 3D texture analysis method for dual-echo steady-state (DESS) magnetic resonance (MR) images to be used for knee cartilage analysis in osteoarthritis (OA) studies and use it to study changes in articular cartilage between different subpopulations based on their rate of progression into radiographically confirmed OA. In total, 642 series of right knee DESS MR images at 3T were obtained from baseline, 36- and 72-month follow-ups from the OA Initiative database. At baseline, all 214 subjects included in the study had Kellgren-Lawrence (KL) grade <2. Three groups were defined, based on time of progression into radiographic OA (ROA) (KL grades ≥2): control (no progression), fast progressor (ROA at 36 months), and slow progressor (ROA at 72 months) groups. 3D texture analysis was used to extract textural features for femoral and tibial cartilages. All textural features, in both femur and tibia, showed significant longitudinal changes across all groups and tissue layers. Most of the longitudinal changes were observed in progressors, but significant changes were observed also in controls. Differences between groups were mostly seen at baseline and 72 months. The method is sensitive to cartilage changes before and after ROA. It was able to detect longitudinal changes in controls and progressors and to distinguish cartilage alterations due to OA and aging. Moreover, it was able to distinguish controls and different progressor groups before any radiographic signs of OA and during OA. Thus, texture analysis could be used as a marker for the onset and progression of OA.

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Series: Journal of orthopaedic research
ISSN: 0736-0266
ISSN-E: 1554-527X
ISSN-L: 0736-0266
Volume: 40
Issue: 11
Pages: 2597 - 2608
DOI: 10.1002/jor.25293
Type of Publication: A1 Journal article – refereed
Field of Science: 217 Medical engineering
Funding: Jane ja Aatos Erkon Säätiö
Copyright information: © 2022 The Authors. Journal of Orthopaedic Research® published by Wiley Periodicals LLC on behalf of Orthopaedic Research Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.