Literature DB >> 22730370

Quantitative MRI measures of cartilage predict knee replacement: a case-control study from the Osteoarthritis Initiative.

Felix Eckstein1, C Kent Kwoh, Robert M Boudreau, Zhijie Wang, Michael J Hannon, Sebastian Cotofana, Martin I Hudelmaier, Wolfgang Wirth, Ali Guermazi, Michael C Nevitt, Markus R John, David J Hunter.   

Abstract

OBJECTIVE: Knee osteoarthritis commonly requires joint replacement, substantially reduces quality of life and increases healthcare utilisation and costs. This study aimed to identify whether quantitative measures of articular cartilage structure predict knee replacement, and to establish their utility as outcomes in clinical trials of disease-modifying therapy.
METHODS: A nested case-control study was performed in Osteoarthritis Initiative participants, a multicentre observational cohort of 4796 participants with or at risk of knee osteoarthritis. 127 knees were replaced between baseline and 4 years follow-up, and one control knee per case matched for baseline radiographic disease stage (Kellgren-Lawrence grade; KLG), gender and age. Quantitative cartilage measures were obtained from 3 T magnetic resonance images at the exam before knee replacement, and longitudinal change during the previous 12 months when available (n=110).
RESULTS: Cartilage thickness loss in the central and total medial femorotibial compartment (primary and secondary predictor variables) was significantly greater in case than control knees (AUC=0.59/0.58). Differences in cartilage loss were greater at earlier than later radiographic disease stages (p<0.01 for interaction with KLG). Cartilage thickness loss in the central tibia was the most predictive longitudinal measure (AUC=0.64). Denuded bone areas in the medial femur were the most predictive and discriminatory cross-sectional measure between case and control knees (AUC=0.66).
CONCLUSIONS: This study demonstrates the predictive value of quantitative, MRI-based measures of cartilage for the clinically relevant endpoint of knee replacement, providing support for their utility in clinical trials to evaluate the effectiveness of structure-modifying intervention.

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Year:  2012        PMID: 22730370     DOI: 10.1136/annrheumdis-2011-201164

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


  41 in total

1.  Brief Report: Cartilage Thickness Change as an Imaging Biomarker of Knee Osteoarthritis Progression: Data From the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium.

Authors:  F Eckstein; J E Collins; M C Nevitt; J A Lynch; V B Kraus; J N Katz; E Losina; W Wirth; A Guermazi; F W Roemer; D J Hunter
Journal:  Arthritis Rheumatol       Date:  2015-12       Impact factor: 10.995

Review 2.  Segmentation of joint and musculoskeletal tissue in the study of arthritis.

Authors:  Valentina Pedoia; Sharmila Majumdar; Thomas M Link
Journal:  MAGMA       Date:  2016-02-25       Impact factor: 2.310

3.  Greater Lateral Femorotibial Cartilage Loss in Osteoarthritis Initiative Participants With Incident Total Knee Arthroplasty: A Prospective Cohort Study.

Authors:  Wolfgang Hitzl; Wolfgang Wirth; Susanne Maschek; Sebastian Cotofana; Michael Nevitt; Markus R John; Christoph Ladel; Felix Eckstein
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-10       Impact factor: 4.794

4.  Predictive and concurrent validity of cartilage thickness change as a marker of knee osteoarthritis progression: data from the Osteoarthritis Initiative.

Authors:  W Wirth; D J Hunter; M C Nevitt; L Sharma; C K Kwoh; C Ladel; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2017-08-31       Impact factor: 6.576

5.  Comparison of radiographic joint space width and magnetic resonance imaging for prediction of knee replacement: A longitudinal case-control study from the Osteoarthritis Initiative.

Authors:  Felix Eckstein; Robert Boudreau; Zhijie Wang; Michael J Hannon; Jeff Duryea; Wolfgang Wirth; Sebastian Cotofana; Ali Guermazi; Frank Roemer; Michael Nevitt; Markus R John; Christoph Ladel; Leena Sharma; David J Hunter; C Kent Kwoh
Journal:  Eur Radiol       Date:  2015-09-16       Impact factor: 5.315

6.  Can structural joint damage measured with MR imaging be used to predict knee replacement in the following year?

Authors:  Frank W Roemer; C Kent Kwoh; Michael J Hannon; David J Hunter; Felix Eckstein; Zhijie Wang; Robert M Boudreau; Markus R John; Michael C Nevitt; Ali Guermazi
Journal:  Radiology       Date:  2014-10-03       Impact factor: 11.105

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.  Longitudinal Changes in Magnetic Resonance Imaging-Based Measures of Femorotibial Cartilage Thickness as a Function of Alignment and Obesity: Data From the Osteoarthritis Initiative.

Authors:  Rebecca Moyer; Wolfgang Wirth; Felix Eckstein
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-06-07       Impact factor: 4.794

9.  Cartilage status in knees with recurrent patellar instability using magnetic resonance imaging T2 relaxation time value.

Authors:  Xiaodong Chen; Wei Wang; Hanlong Xin; Yue Wang; Jianhua Wang
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2014-05-08       Impact factor: 4.342

10.  Baseline Cartilage Thickness and Meniscus Extrusion Predict Longitudinal Cartilage Loss by Quantitative Magnetic Resonance Imaging: Data From the Osteoarthritis Initiative.

Authors:  Jason S Klein; Jean Jose; Michael G Baraga; Ty K Subhawong
Journal:  J Comput Assist Tomogr       Date:  2016 Nov/Dec       Impact factor: 1.826

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