Literature DB >> 28339999

Bone curvature changes can predict the impact of treatment on cartilage volume loss in knee osteoarthritis: data from a 2-year clinical trial.

Jean-Pierre Raynauld1, Jean-Pierre Pelletier1, Philippe Delorme2, Pierre Dodin2, François Abram2, Johanne Martel-Pelletier1.   

Abstract

Objectives: Knee bone curvature assessed by MRI was associated with OA cartilage loss. A recent knee OA trial demonstrated the superiority of chondroitin sulfate over celecoxib (comparator) at reducing cartilage volume loss (CVL) in the medial compartment (condyle). The main objectives were to identify which baseline bone curvature regions of interest (BCROI) best associated with CVL and investigate whether baseline BCROI and 2-year change are correlated with the protective effect of chondroitin sulphate on CVL.
Methods: This post hoc analysis of a clinical trial used the according-to-protocol population (chondroitin sulphate, n = 57; celecoxib, n = 63) baseline and 2-year MRI to assess bone curvature and CVL. Global optimum search identified the BCROI in the medial condyle using celecoxib as reference. Statistical analyses were performed with Pearson's correlation, Mann-Whitney U -test, Student's t -test and analysis of covariance.
Results: The BCROI including the medial posterior condyle and lateral central condyle was found to correlate best with medial condyle CVL at 2 years ( r = 0.33, P = 0.008). In patients with a baseline BCROI value less than the median (more flattened bone), chondroitin sulphate demonstrated a protective effect on CVL compared with celecoxib in the medial compartment (P = 0.037). In patients with 2-year BCROI changes greater than the median (greater severity of bone flattening), chondroitin sulphate protected against CVL in the medial compartment, condyle and central plateau (P ⩽ 0.030).
Conclusion: This study is the first to demonstrate the feasibility and usefulness of bone curvature measurements to predict effectiveness of OA treatment on CVL. The results identify bone curvature as a potential novel biomarker for knee OA clinical trials.
© The Author 2017. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Entities:  

Keywords:  bone curvature; cartilage volume; celecoxib; chondroitin sulfate; knee; osteoarthritis; quantitative MRI

Mesh:

Substances:

Year:  2017        PMID: 28339999     DOI: 10.1093/rheumatology/kew504

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  5 in total

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Authors:  Daichi Hayashi; Frank W Roemer; Ali Guermazi
Journal:  Br J Radiol       Date:  2018-01-19       Impact factor: 3.039

2.  A Machine Learning Model to Predict Knee Osteoarthritis Cartilage Volume Changes over Time Using Baseline Bone Curvature.

Authors:  Hossein Bonakdari; Jean-Pierre Pelletier; François Abram; Johanne Martel-Pelletier
Journal:  Biomedicines       Date:  2022-05-26

3.  Quantification of Cartilage Surface Degeneration by Curvature Analysis Using 3D Scanning in a Rabbit Model.

Authors:  Dawei Liang; Tomohiro Onodera; Masanari Hamasaki; Ryosuke Hishimura; Kentaro Homan; Liang Xu; Yuan Tian; Satoshi Kanai; Norimasa Iwasaki
Journal:  Cartilage       Date:  2021-11-20       Impact factor: 3.117

4.  Levels of serum biomarkers from a two-year multicentre trial are associated with treatment response on knee osteoarthritis cartilage loss as assessed by magnetic resonance imaging: an exploratory study.

Authors:  Johanne Martel-Pelletier; Jean-Pierre Raynauld; François Mineau; François Abram; Patrice Paiement; Philippe Delorme; Jean-Pierre Pelletier
Journal:  Arthritis Res Ther       Date:  2017-07-20       Impact factor: 5.156

5.  Intra-articular corticosteroid knee injection induces a reduction in meniscal thickness with no treatment effect on cartilage volume: a case-control study.

Authors:  Jean-Pierre Pelletier; Jean-Pierre Raynauld; François Abram; Marc Dorais; Patrice Paiement; Johanne Martel-Pelletier
Journal:  Sci Rep       Date:  2020-08-14       Impact factor: 4.379

  5 in total

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