Literature DB >> 21622772

Clinical, radiographic, molecular and MRI-based predictors of cartilage loss in knee osteoarthritis.

F Eckstein1, M P Hellio Le Graverand, H C Charles, D J Hunter, V B Kraus, T Sunyer, O Nemirovskyi, B T Wyman, R Buck.   

Abstract

OBJECTIVE: To examine the relationship of baseline clinical, radiographic, molecular and MRI measures with structural progression (subregional MRI-based femorotibial cartilage loss) in knee osteoarthritis (OA).
METHODS: Single knees of 75 female participants with radiographic knee OA (and 77 healthy control participants) were examined over 24 months using MRI. Subregional femorotibial cartilage thickness was determined at baseline and follow-up. Baseline clinical, radiographic, molecular (n=16) and quantitative MRI-based measures of the meniscus and cartilage, including delayed gadolinium-enhanced MRI (dGEMRIC) and T2, were obtained. Differences in these baseline measures between radiographic osteoarthritic knees with longitudinal cartilage thinning (or thickening) and those with no significant change were evaluated by receiver operator characteristic analyses and Wilcoxon rank sum tests.
RESULTS: The relatively strongest predictors of longitudinal cartilage thinning were reduced baseline cartilage thickness in the medial femur (area under the curve (AUC)=0.81), varus malalignment (AUC=0.77), reduced minimum joint space width and a greater radiographic joint space narrowing (JSN) score (both AUC=0.74). These remained significant after adjusting for multiple comparisons using false discovery rates. Reduced bone resorption (C-terminal telopeptide of type I collagen; AUC=0.65) and a low dGEMRIC index (reflecting low proteoglycan content) in the medial tibia (AUC=0.68) were associated with longitudinal cartilage thinning, but failed to reach statistical significance after correction for multiple testing in this (small) sample.
CONCLUSIONS: This exploratory study indicates that baseline molecular or MRI cartilage compositional markers may not provide better discrimination between knees with cartilage thinning and those without longitudinal change than simple radiographic measures, such as greater JSN score.

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Year:  2011        PMID: 21622772     DOI: 10.1136/ard.2010.141382

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  22 in total

1.  Baseline mean and heterogeneity of MR cartilage T2 are associated with morphologic degeneration of cartilage, meniscus, and bone marrow over 3 years--data from the Osteoarthritis Initiative.

Authors:  G B Joseph; T Baum; H Alizai; J Carballido-Gamio; L Nardo; W Virayavanich; J A Lynch; M C Nevitt; C E McCulloch; S Majumdar; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2012-04-11       Impact factor: 6.576

Review 2.  Prognostic biomarkers in osteoarthritis.

Authors:  Mukundan Attur; Svetlana Krasnokutsky-Samuels; Jonathan Samuels; Steven B Abramson
Journal:  Curr Opin Rheumatol       Date:  2013-01       Impact factor: 5.006

3.  Early T2 changes predict onset of radiographic knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  Hans Liebl; Gabby Joseph; Michael C Nevitt; Nathan Singh; Ursula Heilmeier; Karupppasamy Subburaj; Pia M Jungmann; Charles E McCulloch; John A Lynch; Nancy E Lane; Thomas M Link
Journal:  Ann Rheum Dis       Date:  2014-03-10       Impact factor: 19.103

4.  The value of cartilage biomarkers in progressive knee osteoarthritis: cross-sectional and 6-year follow-up study in middle-aged subjects.

Authors:  Jaanika Kumm; Ann Tamm; Mare Lintrop; Agu Tamm
Journal:  Rheumatol Int       Date:  2012-07-21       Impact factor: 2.631

5.  Associations between molecular biomarkers and MR-based cartilage composition and knee joint morphology: data from the Osteoarthritis Initiative.

Authors:  G B Joseph; M C Nevitt; C E McCulloch; J Neumann; J A Lynch; U Heilmeier; N E Lane; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2018-05-23       Impact factor: 6.576

6.  Rates and sensitivity of knee cartilage thickness loss in specific central reading radiographic strata from the osteoarthritis initiative.

Authors:  S Maschek; W Wirth; C Ladel; M-P Hellio Le Graverand; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2014-10       Impact factor: 6.576

Review 7.  Imaging of cartilage and bone: promises and pitfalls in clinical trials of osteoarthritis.

Authors:  F Eckstein; A Guermazi; G Gold; J Duryea; M-P Hellio Le Graverand; W Wirth; C G Miller
Journal:  Osteoarthritis Cartilage       Date:  2014-10       Impact factor: 6.576

8.  Protein Levels and Microstructural Changes in Localized Regions of Early Cartilage Degeneration Compared with Adjacent Intact Cartilage.

Authors:  Bincy Jacob; Mia Jüllig; Martin Middleditch; Leo Payne; Neil Broom; Vijayalekshmi Sarojini; Ashvin Thambyah
Journal:  Cartilage       Date:  2018-11-28       Impact factor: 4.634

9.  Tibial coverage, meniscus position, size and damage in knees discordant for joint space narrowing - data from the Osteoarthritis Initiative.

Authors:  K Bloecker; A Guermazi; W Wirth; O Benichou; C K Kwoh; D J Hunter; M Englund; H Resch; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2012-12-05       Impact factor: 6.576

10.  Longitudinal sensitivity to change of MRI-based muscle cross-sectional area versus isometric strength analysis in osteoarthritic knees with and without structural progression: pilot data from the Osteoarthritis Initiative.

Authors:  Torben Dannhauer; Martina Sattler; Wolfgang Wirth; David J Hunter; C Kent Kwoh; Felix Eckstein
Journal:  MAGMA       Date:  2013-11-22       Impact factor: 2.310

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