Literature DB >> 23887285

What is the predictive value of MRI for the occurrence of knee replacement surgery in knee osteoarthritis?

J-P Pelletier1, C Cooper, C Peterfy, J-Y Reginster, M-L Brandi, O Bruyère, R Chapurlat, F Cicuttini, P G Conaghan, M Doherty, H Genant, G Giacovelli, M C Hochberg, D J Hunter, J A Kanis, M Kloppenburg, J-D Laredo, T McAlindon, M Nevitt, J-P Raynauld, R Rizzoli, C Zilkens, F W Roemer, J Martel-Pelletier, A Guermazi.   

Abstract

Knee osteoarthritis is associated with structural changes in the joint. Despite its many drawbacks, radiography is the current standard for evaluating joint structure in trials of potential disease-modifying osteoarthritis drugs. MRI is a non-invasive alternative that provides comprehensive imaging of the whole joint. Frequently used MRI measurements in knee osteoarthritis are cartilage volume and thickness; others include synovitis, synovial fluid effusions, bone marrow lesions (BML) and meniscal damage. Joint replacement is considered a clinically relevant outcome in knee osteoarthritis; however, its utility in clinical trials is limited. An alternative is virtual knee replacement on the basis of symptoms and structural damage. MRI may prove to be a good alternative to radiography in definitions of knee replacement. One of the MRI parameters that predicts knee replacement is medial compartment cartilage volume/thickness, which correlates with radiographic joint space width, is sensitive to change, and predicts outcomes in a continuous manner. Other MRI parameters include BML and meniscal lesions. MRI appears to be a viable alternative to radiography for the evaluation of structural changes in knee osteoarthritis and prediction of joint replacement.

Entities:  

Keywords:  Knee Osteoarthritis; Magnetic Resonance Imaging; Outcomes research

Mesh:

Year:  2013        PMID: 23887285     DOI: 10.1136/annrheumdis-2013-203631

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


  43 in total

1.  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

2.  Cartilage oligomeric protein, matrix metalloproteinase-3, and Coll2-1 as serum biomarkers in knee osteoarthritis: a cross-sectional study.

Authors:  Tsvetoslav Georgiev; Mariana Ivanova; Aleksandar Kopchev; Tsvetelina Velikova; Asen Miloshov; Ekaterina Kurteva; Kalina Yuzeir; Marin Penkov; Plamena Kabakchieva; Rasho Rashkov; Rumen Stoilov
Journal:  Rheumatol Int       Date:  2017-11-21       Impact factor: 2.631

3.  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

4.  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

5.  Trajectory of cartilage loss within 4 years of knee replacement--a nested case-control study from the osteoarthritis initiative.

Authors:  F Eckstein; R M Boudreau; Z Wang; M J Hannon; W Wirth; S Cotofana; A Guermazi; F Roemer; M Nevitt; M R John; C Ladel; L Sharma; D J Hunter; C K Kwoh
Journal:  Osteoarthritis Cartilage       Date:  2014-04-30       Impact factor: 6.576

6.  Effect of Intra-Articular Sprifermin vs Placebo on Femorotibial Joint Cartilage Thickness in Patients With Osteoarthritis: The FORWARD Randomized Clinical Trial.

Authors:  Marc C Hochberg; Ali Guermazi; Hans Guehring; Aida Aydemir; Stephen Wax; Patricia Fleuranceau-Morel; Asger Reinstrup Bihlet; Inger Byrjalsen; Jeppe Ragnar Andersen; Felix Eckstein
Journal:  JAMA       Date:  2019-10-08       Impact factor: 56.272

7.  Osteoarthritis: Bone as an imaging biomarker and treatment target in OA.

Authors:  Tuhina Neogi; David T Felson
Journal:  Nat Rev Rheumatol       Date:  2016-07-07       Impact factor: 20.543

8.  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

9.  Prediction of medial tibiofemoral compartment joint space loss progression using volumetric cartilage measurements: Data from the FNIH OA biomarkers consortium.

Authors:  Nima Hafezi-Nejad; Ali Guermazi; Frank W Roemer; David J Hunter; Erik B Dam; Bashir Zikria; C Kent Kwoh; Shadpour Demehri
Journal:  Eur Radiol       Date:  2016-05-24       Impact factor: 5.315

10.  Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.

Authors:  Berk Norman; Valentina Pedoia; Adam Noworolski; Thomas M Link; Sharmila Majumdar
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

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