University of Oulu

J. Hirvasniemi, J. Thevenot, J. Multanen, M. Haapea, A. Heinonen, M.T. Nieminen, S. Saarakkala, Association between radiography-based subchondral bone structure and MRI-based cartilage composition in postmenopausal women with mild osteoarthritis, Osteoarthritis and Cartilage, Volume 25, Issue 12, 2017, Pages 2039-2046, ISSN 1063-4584, https://doi.org/10.1016/j.joca.2017.09.008

Association between radiography-based subchondral bone structure and MRI-based cartilage composition in postmenopausal women with mild osteoarthritis

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Author: Hirvasniemi, J.1; Thevenot, J.2; Multanen, J.3;
Organizations: 1Center for Machine Vision and Signal Analysis, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
2Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland
3Department of Physical Medicine and Rehabilitation, Central Finland Central Hospital, Jyväskylä, Finland
4Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
5Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
6Faculty of Sports and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
7Infotech Oulu, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019061920988
Language: English
Published: Elsevier, 2017
Publish Date: 2019-06-19
Description:

Abstract

Objective: Our aim was to investigate the relation between radiograph-based subchondral bone structure and cartilage composition assessed with delayed gadolinium enhanced magnetic resonance imaging of cartilage (dGEMRIC) and T₂ relaxation time.

Design: Ninety-three postmenopausal women (Kellgren–Lawrence grade 0: n = 13, 1: n = 26, 2: n = 54) were included. Radiograph-based bone structure was assessed using entropy of the Laplacian-based image (ELap) and local binary patterns (ELBP), homogeneity indices of the local angles (HIAngles,mean, HIAngles,Perp, HIAngles,Paral), and horizontal (FDHor) and vertical fractal dimensions (FDVer). Mean dGEMRIC index and T₂ relaxation time of tibial cartilage were calculated to estimate cartilage composition.

Results: HIAngles,mean (rs = −0.22) and HIAngles,Paral (rs = −0.24) in medial subchondral bone were related (P < 0.05) to dGEMRIC index of the medial tibial cartilage. ELap (rs = −0.23), FDHor,0.34 mm (r = 0.21) and FDVer,0.68 mm (r = 0.24) in medial subchondral bone were related (P < 0.05) to T₂ relaxation time values of the medial tibial cartilage. FDHor at different scales in lateral subchondral bone were related (P < 0.01) to dGEMRIC index (r = 0.29–0.41) and T₂ values of lateral tibial cartilage (r = −0.28 to −0.36). FDVer at larger scales were related (P < 0.05) to dGEMRIC index (r = 0.24–0.25) and T₂ values of lateral tibial cartilage (r = −0.21). HIAngles,Paral (r = −0.25) and FDVer,0.68 mm (rs = 0.22) in the lateral tibial trabecular bone were related (P < 0.05) to dGEMRIC index of the lateral tibial cartilage.

Conclusion: Our results support the presumption that several tissues are affected in the early osteoarthritis (OA). Furthermore, they indicate that the detailed analysis of radiographs may serve as a complementary imaging tool for OA studies.

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Series: Osteoarthritis and cartilage
ISSN: 1063-4584
ISSN-E: 1522-9653
ISSN-L: 1063-4584
Volume: 25
Issue: 12
Pages: 2039 - 2046
DOI: 10.1016/j.joca.2017.09.008
OADOI: https://oadoi.org/10.1016/j.joca.2017.09.008
Type of Publication: A1 Journal article – refereed
Field of Science: 3126 Surgery, anesthesiology, intensive care, radiology
Subjects:
MRI
Funding: The research leading to these results has received funding from Academy of Finland (projects 308165 and 268378), the Päivikki and Sakari Sohlberg Foundation, the Radiological Society of Finland, the Orion Corporation Research Foundation, the Sigrid Jusélius Foundation, and European Research Council under the European Union's Seventh Framework Programme (FP/2007e2013)/ERC Grant Agreement no. 336267. The funding sources had no role in thestudy design, data collection or analysis, interpretation of data,writing of the manuscript, or in the decision to submit the manuscript for publication.
EU Grant Number: (336267) 3D-OA-HISTO - Development of 3D Histopathological Grading of Osteoarthritis
Academy of Finland Grant Number: 308165
268378
Detailed Information: 308165 (Academy of Finland Funding decision)
268378 (Academy of Finland Funding decision)
Copyright information: © 2017 The Author(s). Published by Elsevier Ltd on behalf of Osteoarthritis Research Society International. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
  https://creativecommons.org/licenses/by-nc-nd/4.0/