Literature DB >> 26471210

Radiographic progression of knee osteoarthritis is associated with MRI abnormalities in both the patellofemoral and tibiofemoral joint.

B J E de Lange-Brokaar1, J Bijsterbosch2, P R Kornaat3, E Yusuf2, A Ioan-Facsinay2, A-M Zuurmond4, H M Kroon5, I Meulenbelt6, J L Bloem5, M Kloppenburg7.   

Abstract

OBJECTIVE: To investigate patterns of MRI abnormalities in the patellofemoral (PFJ) and tibiofemoral joint (TFJ) and their association with radiographic progression, using hypothesis free analyses.
DESIGN: 205 patients from the GARP study with symptomatic OA at multiple sites (mean age 60 years, 80% woman, median BMI 26 kg/m(2)), underwent knee MRI at baseline. Cartilage damage, osteophytes, cysts, bone marrow lesions (BMLs) and effusion/synovitis were scored according to a validated scoring method. Baseline and 6-year TFJ and PFJ radiographs were scored (0-3) for JSN and osteophytes according to OARSI and Burnett atlases, respectively; progression was defined as ≥1 point increase. Baseline patterns of MRI abnormalities derived from principal component analysis (PCA) were associated with progression using adjusted generalized estimating equations (GEE).
RESULTS: PCA resulted in extraction of six components, explaining 69% of variance. In 29% and 29% of 133 patients with follow-up the TFJ progressed, whereas in 15% and 9% the PFJ progressed for osteophytes and JSN, respectively. Component 1 (cartilage damage of the PFJ and osteophytes of both joints) was statistically significant associated with TFJ JSN progression and PFJ osteophyte progression. Component 2 (all lateral PFJ abnormalities except osteophytes) was associated with JSN/osteophyte progression in the PFJ alone, whereas component 3 (all medial TFJ abnormalities except osteophytes) was associated with JSN and osteophyte progression in both PFJ and TFJ.
CONCLUSION: Baseline structural damage and bone turnover activity, as reflected by BMLs, seem to be involved in knee OA progression. Moreover, progression in PFJ and TFJ seems to be related.
Copyright © 2015 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Osteoarthritis; Radiographic progression; Synovitis

Mesh:

Year:  2015        PMID: 26471210     DOI: 10.1016/j.joca.2015.09.021

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


  6 in total

1.  Identification of the most important features of knee osteoarthritis structural progressors using machine learning methods.

Authors:  Afshin Jamshidi; Mickael Leclercq; Aurelie Labbe; Jean-Pierre Pelletier; François Abram; Arnaud Droit; Johanne Martel-Pelletier
Journal:  Ther Adv Musculoskelet Dis       Date:  2020-08-13       Impact factor: 5.346

2.  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

3.  Novel Ex Vivo Human Osteochondral Explant Model of Knee and Spine Osteoarthritis Enables Assessment of Inflammatory and Drug Treatment Responses.

Authors:  Jeroen Geurts; Doria Jurić; Miriam Müller; Stefan Schären; Cordula Netzer
Journal:  Int J Mol Sci       Date:  2018-04-28       Impact factor: 5.923

4.  Structural abnormalities detected by knee magnetic resonance imaging are common in middle-aged subjects with and without risk factors for osteoarthritis.

Authors:  Jaanika Kumm; Aleksandra Turkiewicz; Fan Zhang; Martin Englund
Journal:  Acta Orthop       Date:  2018-07-17       Impact factor: 3.717

5.  The Patello-Femoral Joint Degeneration and the Shape of the Patella in the Population Needing an Arthroscopic Procedure.

Authors:  Rimtautas Gudas; Laimonas Šiupšinskas; Agnė Gudaitė; Vladas Vansevičius; Edgaras Stankevičius; Alfredas Smailys; Akvilė Vilkytė; Rasa Simonaitytė
Journal:  Medicina (Kaunas)       Date:  2018-04-24       Impact factor: 2.430

6.  The combination of an inflammatory peripheral blood gene expression and imaging biomarkers enhance prediction of radiographic progression in knee osteoarthritis.

Authors:  Mukundan Attur; Svetlana Krasnokutsky; Hua Zhou; Jonathan Samuels; Gregory Chang; Jenny Bencardino; Pamela Rosenthal; Leon Rybak; Janet L Huebner; Virginia B Kraus; Steven B Abramson
Journal:  Arthritis Res Ther       Date:  2020-09-10       Impact factor: 5.156

  6 in total

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