Literature DB >> 22213129

Risk factors for magnetic resonance imaging-detected patellofemoral and tibiofemoral cartilage loss during a six-month period: the joints on glucosamine study.

Frank W Roemer1, C Kent Kwoh, Michael J Hannon, Stephanie M Green, John M Jakicic, Robert Boudreau, Michel D Crema, Carolyn E Moore, Ali Guermazi.   

Abstract

OBJECTIVE: To assess several baseline risk factors that may predict patellofemoral and tibiofemoral cartilage loss during a 6-month period.
METHODS: For 177 subjects with chronic knee pain, 3T magnetic resonance imaging (MRI) of both knees was performed at baseline and followup. Knees were semiquantitatively assessed, evaluating cartilage morphology, subchondral bone marrow lesions, meniscal morphology/extrusion, synovitis, and effusion. Age, sex, and body mass index (BMI), bone marrow lesions, meniscal damage/extrusion, synovitis, effusion, and prevalent cartilage damage in the same subregion were evaluated as possible risk factors for cartilage loss. Logistic regression models were applied to predict cartilage loss. Models were adjusted for age, sex, treatment, and BMI.
RESULTS: Seventy-nine subregions (1.6%) showed incident or worsening cartilage damage at followup. None of the demographic risk factors was predictive of future cartilage loss. Predictors of patellofemoral cartilage loss were effusion, with an adjusted odds ratio (OR) of 3.5 (95% confidence interval [95% CI] 1.3-9.4), and prevalent cartilage damage in the same subregion with an adjusted OR of 4.3 (95% CI 1.3-14.1). Risk factors for tibiofemoral cartilage loss were baseline meniscal extrusion (adjusted OR 3.6 [95% CI 1.3-10.1]), prevalent bone marrow lesions (adjusted OR 4.7 [95% CI 1.1-19.5]), and prevalent cartilage damage (adjusted OR 15.3 [95% CI 4.9-47.4]).
CONCLUSION: Cartilage loss over 6 months is rare, but may be detected semiquantitatively by 3T MRI and is most commonly observed in knees with Kellgren/Lawrence grade 3. Predictors of patellofemoral cartilage loss were effusion and prevalent cartilage damage in the same subregion. Predictors of tibiofemoral cartilage loss were prevalent cartilage damage, bone marrow lesions, and meniscal extrusion.
Copyright © 2012 by the American College of Rheumatology.

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Year:  2011        PMID: 22213129     DOI: 10.1002/art.34353

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  23 in total

1.  Imaging of Osteoarthritis in Geriatric Patients.

Authors:  Alexandra S Gersing; Thomas M Link
Journal:  Curr Radiol Rep       Date:  2016-01-02

2.  What comes first? Multitissue involvement leading to radiographic osteoarthritis: magnetic resonance imaging-based trajectory analysis over four years in the osteoarthritis initiative.

Authors:  Frank W Roemer; C Kent Kwoh; Michael J Hannon; David J Hunter; Felix Eckstein; Tomoko Fujii; Robert M Boudreau; Ali Guermazi
Journal:  Arthritis Rheumatol       Date:  2015-05       Impact factor: 10.995

3.  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 4.  Cartilage regeneration for treatment of osteoarthritis: a paradigm for nonsurgical intervention.

Authors:  Moti L Tiku; Hatem E Sabaawy
Journal:  Ther Adv Musculoskelet Dis       Date:  2015-06       Impact factor: 5.346

5.  Knee Cartilage Defect Characteristics Vary among Symptomatic Recreational and Competitive Scholastic Athletes Eligible for Cartilage Restoration Surgery.

Authors:  Joshua S Everhart; Zak Boggs; Alex C DiBartola; Brennan Wright; David C Flanigan
Journal:  Cartilage       Date:  2019-03-03       Impact factor: 4.634

6.  Baseline radiographic osteoarthritis and semi-quantitatively assessed meniscal damage and extrusion and cartilage damage on MRI is related to quantitatively defined cartilage thickness loss in knee osteoarthritis: the Multicenter Osteoarthritis Study.

Authors:  A Guermazi; F Eckstein; D Hayashi; F W Roemer; W Wirth; T Yang; J Niu; L Sharma; M C Nevitt; C E Lewis; J Torner; D T Felson
Journal:  Osteoarthritis Cartilage       Date:  2015-07-08       Impact factor: 6.576

Review 7.  The role of radiography and MRI for eligibility assessment in DMOAD trials of knee OA.

Authors:  Frank W Roemer; C Kent Kwoh; Daichi Hayashi; David T Felson; Ali Guermazi
Journal:  Nat Rev Rheumatol       Date:  2018-06       Impact factor: 20.543

Review 8.  MRI-based semiquantitative scoring of joint pathology in osteoarthritis.

Authors:  Ali Guermazi; Frank W Roemer; Ida K Haugen; Michel D Crema; Daichi Hayashi
Journal:  Nat Rev Rheumatol       Date:  2013-01-15       Impact factor: 20.543

9.  Noninvasive assessment of osteoarthritis severity in human explants by multicontrast MRI.

Authors:  Adam J Griebel; Stephen B Trippel; Nancy C Emery; Corey P Neu
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

10.  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

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