Literature DB >> 26316262

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.

F Eckstein1, J E Collins2, M C Nevitt3, J A Lynch3, V B Kraus4, J N Katz2, E Losina2, W Wirth1, A Guermazi5, F W Roemer6, D J Hunter7.   

Abstract

OBJECTIVE: To investigate the association of cartilage thickness change over 24 months, as determined by magnetic resonance imaging (MRI), with knee osteoarthritis (OA) progression at 24-48 months.
METHODS: This nested case-control study included 600 knees with a baseline Kellgren/Lawrence (K/L) grade of 1-3 from 600 Osteoarthritis Initiative (OAI) participants. Case knees (n = 194) had both medial tibiofemoral radiographic joint space loss (≥0.7 mm) and a persistent increase in the Western Ontario and McMaster Universities Osteoarthritis Index pain score (≥9 on a 0-100 scale) 24-48 months from baseline. Control knees (n = 406) included 200 with neither radiographic nor pain progression, 103 with radiographic progression only, and 103 with pain progression only. Medial and lateral femorotibial cartilage was segmented from sagittal 3T MRIs at baseline, 12 months, and 24 months. Logistic regression was used to assess the association of change in cartilage thickness, with a focus on the central medial femorotibial compartment, and OA progression.
RESULTS: Central medial femorotibial compartment thickness loss was significantly associated with case status, with an odds ratio (OR) of 1.9 (95% confidence interval [95% CI] 1.6-2.3) (P < 0.0001). Association with case status reached P < 0.05 for both the central femur (OR 1.8 [95% CI 1.5-2.2]) and the central tibia (OR 1.6 [95% CI 1.3-1.9]). Lateral femorotibial compartment cartilage thickness loss, in contrast, was not significantly associated with case status. A reduction in central medial femorotibial compartment cartilage thickness was strongly associated with radiographic progression (OR 4.0 [95% CI 2.9-5.3]; P < 0.0001) and only weakly associated with pain progression (OR 1.3 [95% CI 1.1-1.6]; P < 0.01).
CONCLUSION: Our findings indicate that loss of medial femorotibial cartilage thickness over 24 months is associated with the combination of radiographic and pain progression in the knee, with a stronger association for radiographic progression.
© 2015, American College of Rheumatology.

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Year:  2015        PMID: 26316262      PMCID: PMC5495918          DOI: 10.1002/art.39324

Source DB:  PubMed          Journal:  Arthritis Rheumatol        ISSN: 2326-5191            Impact factor:   10.995


  15 in total

1.  Using ordered values of subregional cartilage thickness change increases sensitivity in detecting risk factors for osteoarthritis progression.

Authors:  R J Buck; B T Wyman; M-P Hellio Le Graverand; D Hunter; E Vignon; W Wirth; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2010-12-22       Impact factor: 6.576

Review 2.  OARSI-OMERACT definition of relevant radiological progression in hip/knee osteoarthritis.

Authors:  P Ornetti; K Brandt; M-P Hellio-Le Graverand; M Hochberg; D J Hunter; M Kloppenburg; N Lane; J-F Maillefert; S A Mazzuca; T Spector; G Utard-Wlerick; E Vignon; M Dougados
Journal:  Osteoarthritis Cartilage       Date:  2009-02-09       Impact factor: 6.576

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

Authors:  Felix Eckstein; 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
Journal:  Ann Rheum Dis       Date:  2012-06-23       Impact factor: 19.103

Review 4.  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

5.  Impact of knee osteoarthritis on health care resource utilization in a US population-based national sample.

Authors:  Elizabeth A Wright; Jeffrey N Katz; Miriam G Cisternas; Courtenay L Kessler; Aubrey Wagenseller; Elena Losina
Journal:  Med Care       Date:  2010-09       Impact factor: 2.983

6.  Smallest detectable and minimal clinically important differences of rehabilitation intervention with their implications for required sample sizes using WOMAC and SF-36 quality of life measurement instruments in patients with osteoarthritis of the lower extremities.

Authors:  F Angst; A Aeschlimann; G Stucki
Journal:  Arthritis Rheum       Date:  2001-08

Review 7.  Recent advances in osteoarthritis imaging--the osteoarthritis initiative.

Authors:  Felix Eckstein; Wolfgang Wirth; Michael C Nevitt
Journal:  Nat Rev Rheumatol       Date:  2012-07-10       Impact factor: 20.543

8.  Lifetime risk and age at diagnosis of symptomatic knee osteoarthritis in the US.

Authors:  Elena Losina; Alexander M Weinstein; William M Reichmann; Sara A Burbine; Daniel H Solomon; Meghan E Daigle; Benjamin N Rome; Stephanie P Chen; David J Hunter; Lisa G Suter; Joanne M Jordan; Jeffrey N Katz
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-05       Impact factor: 4.794

9.  Trajectories and risk profiles of pain in persons with radiographic, symptomatic knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  J E Collins; J N Katz; E E Dervan; E Losina
Journal:  Osteoarthritis Cartilage       Date:  2014-03-21       Impact factor: 6.576

10.  Lateral and medial joint space narrowing predict subsequent cartilage loss in the narrowed, but not in the non-narrowed femorotibial compartment--data from the Osteoarthritis Initiative.

Authors:  W Wirth; M Nevitt; M-P Hellio Le Graverand; J Lynch; S Maschek; M Hudelmaier; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2013-11-01       Impact factor: 6.576

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  38 in total

Review 1.  Biomarkers to guide clinical therapeutics in rheumatology?

Authors:  William H Robinson; Rong Mao
Journal:  Curr Opin Rheumatol       Date:  2016-03       Impact factor: 5.006

2.  Quantitative measurement of medial femoral knee cartilage volume - analysis of the OA Biomarkers Consortium FNIH Study cohort.

Authors:  L F Schaefer; M Sury; M Yin; S Jamieson; I Donnell; S E Smith; J A Lynch; M C Nevitt; J Duryea
Journal:  Osteoarthritis Cartilage       Date:  2017-01-30       Impact factor: 6.576

3.  Superolateral Hoffa's fat pad (SHFP) oedema and patellar cartilage volume loss: quantitative analysis using longitudinal data from the Foundation for the National Institute of Health (FNIH) Osteoarthritis Biomarkers Consortium.

Authors:  Arya Haj-Mirzaian; Ali Guermazi; Nima Hafezi-Nejad; Christopher Sereni; Michael Hakky; David J Hunter; Bashir Zikria; Frank W Roemer; Shadpour Demehri
Journal:  Eur Radiol       Date:  2018-04-12       Impact factor: 5.315

4.  Association Between Declining Walking Speed and Increasing Bone Marrow Lesion and Effusion Volume in Individuals with Accelerated Knee Osteoarthritis.

Authors:  Matthew S Harkey; Lori Lyn Price; Timothy E McAlindon; Julie E Davis; Alina C Stout; Bing Lu; Ming Zhang; Charles B Eaton; Mary F Barbe; Grace H Lo; Jeffrey B Driban
Journal:  Arthritis Care Res (Hoboken)       Date:  2019-02       Impact factor: 4.794

5.  Longitudinal association between foot and ankle symptoms and worsening of symptomatic radiographic knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  K L Paterson; J Kasza; D J Hunter; R S Hinman; H B Menz; G Peat; K L Bennell
Journal:  Osteoarthritis Cartilage       Date:  2017-05-13       Impact factor: 6.576

6.  Between-group differences in infra-patellar fat pad size and signal in symptomatic and radiographic progression of knee osteoarthritis vs non-progressive controls and healthy knees - data from the FNIH Biomarkers Consortium Study and the Osteoarthritis Initiative.

Authors:  A Ruhdorfer; F Haniel; T Petersohn; J Dörrenberg; W Wirth; T Dannhauer; D J Hunter; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2017-02-12       Impact factor: 6.576

7.  Number of Persons With Symptomatic Knee Osteoarthritis in the US: Impact of Race and Ethnicity, Age, Sex, and Obesity.

Authors:  Bhushan R Deshpande; Jeffrey N Katz; Daniel H Solomon; Edward H Yelin; David J Hunter; Stephen P Messier; Lisa G Suter; Elena Losina
Journal:  Arthritis Care Res (Hoboken)       Date:  2016-11-03       Impact factor: 4.794

8.  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

9.  Predictive Capacity of Thigh Muscle Strength in Symptomatic and/or Radiographic Knee Osteoarthritis Progression: Data from the Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium.

Authors:  Adam G Culvenor; Wolfgang Wirth; Melanie Roth; David J Hunter; Felix Eckstein
Journal:  Am J Phys Med Rehabil       Date:  2016-12       Impact factor: 2.159

10.  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

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