Literature DB >> 32860991

Automated MRI assessment confirms cartilage thickness modification in patients with knee osteoarthritis: post-hoc analysis from a phase II sprifermin study.

A Brett1, M A Bowes2, P G Conaghan3, C Ladel4, H Guehring5, F Moreau6, F Eckstein7.   

Abstract

BACKGROUND: Sprifermin is under investigation as a potential disease-modifying osteoarthritis drug. Previously, 2-year results from the FORWARD study showed significant dose-dependent modification of cartilage thickness in the total femorotibial joint (TFTJ), medial and lateral femorotibial compartments (MFTC, LFTC), and central medial and lateral TFTJ subregions, by quantitative magnetic resonance imaging (qMRI) using manual segmentation.
OBJECTIVE: To determine whether qMRI findings from FORWARD could be reproduced by an independent method of automated segmentation using an identical dataset and similar anatomical regions in a post-hoc analysis.
METHOD: Cartilage thickness was assessed at baseline and 6, 12, 18 and 24 months, using automated cartilage segmentation with active appearance models, a supervised machine learning method. Images were blinded for treatment and timepoint. Treatment effect was assessed by observed and adjusted changes using a linear mixed model for repeated measures.
RESULTS: Based on automated segmentation, statistically significant, dose-dependent structural modification of cartilage thickness was observed over 2 years with sprifermin vs placebo for TFTJ (overall treatment effect and dose response, both P < 0.001), MFTC (P = 0.004 and P = 0.044), and LFTC (both P < 0.001) regions. For highest dose, in the central medial tibial (P = 0.008), central lateral tibial (P < 0.001) and central lateral femoral (P < 0.001) regions.
CONCLUSIONS: Cartilage thickness assessed by automated segmentation provided a consistent dose response in structural modification compared with manual segmentation. This is the first time that two independent quantification methods of image analysis have reached the same conclusions in an interventional trial, strengthening the conclusions that sprifermin modifies structural progression in knee osteoarthritis.
Copyright © 2020 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Active appearance models; Cartilage; DMOAD; Machine learning; Osteoarthritis

Year:  2020        PMID: 32860991     DOI: 10.1016/j.joca.2020.08.005

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  5 in total

Review 1.  New Trends in Pharmacological Treatments for Osteoarthritis.

Authors:  Xiaoyan Cai; Shiwen Yuan; Yanting Zeng; Cuicui Wang; Na Yu; Changhai Ding
Journal:  Front Pharmacol       Date:  2021-04-15       Impact factor: 5.810

2.  Hierarchical functional nanoparticles boost osteoarthritis therapy by utilizing joint-resident mesenchymal stem cells.

Authors:  Yao Lu; Jieli Chen; Lihua Li; Yumei Cao; Yang Zhao; Xiaoyu Nie; Changhai Ding
Journal:  J Nanobiotechnology       Date:  2022-02-19       Impact factor: 10.435

Review 3.  The superficial zone of articular cartilage.

Authors:  Taku Saito
Journal:  Inflamm Regen       Date:  2022-05-02

Review 4.  Candidates for Intra-Articular Administration Therapeutics and Therapies of Osteoarthritis.

Authors:  Eriko Toyoda; Miki Maehara; Masahiko Watanabe; Masato Sato
Journal:  Int J Mol Sci       Date:  2021-03-30       Impact factor: 5.923

Review 5.  New developments in osteoarthritis pharmacological therapies.

Authors:  Asim Ghouri; Jonathan G Quicke; Philip G Conaghan
Journal:  Rheumatology (Oxford)       Date:  2021-12-24       Impact factor: 7.580

  5 in total

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