Literature DB >> 33356475

Longitudinal Change in Knee Cartilage Thickness and Function in Subjects with and without MRI-Diagnosed Cartilage Damage.

Anna Wisser1,2, Andreas Lapper1, Frank Roemer3,4, David Fuerst1,2,5, Susanne Maschek1,2, Wolfgang Wirth1,2,5, Georg N Duda6, Felix Eckstein1,2,5.   

Abstract

OBJECTIVE: Cartilage damage diagnosed by magnetic resonance imaging (MRI) is highly prevalent in the population. In this article, we explore whether such cartilage damage is associated with greater longitudinal change in 3D cartilage thickness and knee function in subjects without (risk factors of) knee osteoarthritis.
DESIGN: Eighty-two knees of Osteoarthritis Initiative healthy reference cohort participants had baseline and 4-year follow-up MRI and knee function data. Baseline presence of semiquantitatively assessed MRI-based cartilage damage (MOAKS [MRI Osteoarthritis Knee Score] ≥ grade 1.0) was recorded by an experienced radiologist. Longitudinal femorotibial cartilage thickness change was determined after segmentation, using location-independent methodology. Knee function was evaluated by patient-reported outcomes and functional performance measures. Statistical comparisons included analysis of covariance adjusting for age, sex, and body mass index.
RESULTS: Forty-five percent of the participants had cartilage damage in at least one femorotibial subregion; the cartilage thickness change score was 15% greater in participants with than in those without damage (1216 ± 434 vs. 1058 ± 277 µm). This difference reached borderline statistical significance with and without adjustment for age, sex, and body mass index (P = 0.05). No significant differences in the change of patient-reported outcomes of knee function (PASE [physical activity score of the elderly] and WOMAC [Western Ontario McMaster Osteoarthritis Index]) or chair stand test results were detected. Of those without femorotibial damage, 58% had cartilage damage in at least one femoropatellar subregion; these had a 9% greater femorotibial cartilage change score than those without femoropatellar or femorotibial damage (difference not statistically significant).
CONCLUSIONS: In the absence of osteoarthritis risk factors, semiquantitatively assessed MRI-based cartilage damage appears to be associated with greater longitudinal location-independent femorotibial cartilage thickness changes, but not with greater functional deteriorations.

Entities:  

Keywords:  MRI; cartilage damage; cartilage thickness; deterioration; knee function

Mesh:

Year:  2020        PMID: 33356475      PMCID: PMC8808787          DOI: 10.1177/1947603520980157

Source DB:  PubMed          Journal:  Cartilage        ISSN: 1947-6035            Impact factor:   3.117


  20 in total

1.  Obesity increases the prevalence and severity of focal knee abnormalities diagnosed using 3T MRI in middle-aged subjects--data from the Osteoarthritis Initiative.

Authors:  Marc A Laberge; Thomas Baum; Warapat Virayavanich; Lorenzo Nardo; M C Nevitt; J Lynch; C E McCulloch; Thomas M Link
Journal:  Skeletal Radiol       Date:  2011-09-02       Impact factor: 2.199

2.  Evolution of semi-quantitative whole joint assessment of knee OA: MOAKS (MRI Osteoarthritis Knee Score).

Authors:  D J Hunter; A Guermazi; G H Lo; A J Grainger; P G Conaghan; R M Boudreau; F W Roemer
Journal:  Osteoarthritis Cartilage       Date:  2011-05-23       Impact factor: 6.576

3.  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

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.  Knee articular cartilage damage in osteoarthritis: analysis of MR image biomarker reproducibility in ACRIN-PA 4001 multicenter trial.

Authors:  Timothy J Mosher; Zheng Zhang; Ravinder Reddy; Sanaa Boudhar; Barton N Milestone; William B Morrison; C Kent Kwoh; Felix Eckstein; Walter R T Witschey; Arijitt Borthakur
Journal:  Radiology       Date:  2011-01-06       Impact factor: 11.105

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

7.  Reference values and Z-scores for subregional femorotibial cartilage thickness--results from a large population-based sample (Framingham) and comparison with the non-exposed Osteoarthritis Initiative reference cohort.

Authors:  F Eckstein; M Yang; A Guermazi; F W Roemer; M Hudelmaier; K Picha; F Baribaud; W Wirth; D T Felson
Journal:  Osteoarthritis Cartilage       Date:  2010-08-05       Impact factor: 6.576

Review 8.  The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee.

Authors:  C G Peterfy; E Schneider; M Nevitt
Journal:  Osteoarthritis Cartilage       Date:  2008-09-10       Impact factor: 6.576

Review 9.  Imaging research results from the osteoarthritis initiative (OAI): a review and lessons learned 10 years after start of enrolment.

Authors:  Felix Eckstein; C Kent Kwoh; Thomas M Link
Journal:  Ann Rheum Dis       Date:  2014-04-12       Impact factor: 19.103

Review 10.  Location-independent analysis of structural progression of osteoarthritis-Taking it all apart, and putting the puzzle back together makes the difference.

Authors:  Felix Eckstein; Robert Buck; Wolfgang Wirth
Journal:  Semin Arthritis Rheum       Date:  2016-08-26       Impact factor: 5.532

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  1 in total

1.  Deep learning for large scale MRI-based morphological phenotyping of osteoarthritis.

Authors:  Nikan K Namiri; Jinhee Lee; Bruno Astuto; Felix Liu; Rutwik Shah; Sharmila Majumdar; Valentina Pedoia
Journal:  Sci Rep       Date:  2021-05-25       Impact factor: 4.379

  1 in total

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