Literature DB >> 28838858

Predictive and concurrent validity of cartilage thickness change as a marker of knee osteoarthritis progression: data from the Osteoarthritis Initiative.

W Wirth1, D J Hunter2, M C Nevitt3, L Sharma4, C K Kwoh5, C Ladel6, F Eckstein7.   

Abstract

OBJECTIVE: To investigate the predictive and concurrent validity of magnetic resonance imaging (MRI)-based cartilage thickness change between baseline (BL) and year-two (Y2) follow-up (predictive validity) and between Y2 and Y4 follow-up (concurrent validity) for symptomatic and radiographic knee osteoarthritis (OA) progression during Y2→Y4.
METHODS: 777 knees from 777 Osteoarthritis Initiative (OAI) participants (age: 61.3 ± 9.0 years, BMI: 30.1 ± 4.8 kg/m2) with Kellgren Lawrence (KL) grade 1-3 at Y2 (visit before progression interval) had cartilage thickness measurements from 3T MRI at BL, Y2 (n = 777), and Y4 (n = 708). Analysis of covariance and logistic regression were used to assess the association of pain progression (≥9 WOMAC units [scale 0-100], n = 205/572 with/without progression) and radiographic progression (≥0.7 mm minimum joint space width (mJSW) loss, n = 166/611 with/without progression) between Y2 and Y4 with preceding (BL→Y2) and concurrent (Y2→Y4) change in central medial femorotibial (cMFTC) compartment cartilage thickness.
RESULTS: Symptomatic progression was associated with concurrent (Y2→Y4: -305 ± 470 μm vs -155 ± 346 μm, Odds ratios (OR) = 1.5 [1.2, 1.7]) but not with preceding cartilage thickness loss in cMFTC (-150 ± 276 μm vs -151 ± 299 μm, OR = 0.9 95% CI: [0.8, 1.1]). Radiographic progression, in contrast, was significantly associated with both concurrent (-542 ± 550 μm vs -98 ± 255 μm, OR = 3.4 [2.6, 4.3]) and preceding cMFTC thickness loss (-229 ± 355 μm vs -130 ± 270 μm, OR = 1.3 [1.1, 1.5]).
CONCLUSIONS: These results extend previous reports that did not discern predictive vs concurrent associations of cartilage thickness loss with OA progression. The observed predictive and concurrent validity of cartilage thickness loss for radiographic progression and observed concurrent validity for symptomatic progression provide an important step in qualifying cartilage thickness loss as a biomarker of knee OA progression. CLINICALTRIALS. GOV IDENTIFICATION: NCT00080171.
Copyright © 2017 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cartilage thickness; MRI; Osteoarthritis; Progression

Mesh:

Year:  2017        PMID: 28838858      PMCID: PMC5688009          DOI: 10.1016/j.joca.2017.08.005

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


  25 in total

1.  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.

Authors:  F Eckstein; J E Collins; M C Nevitt; J A Lynch; V B Kraus; J N Katz; E Losina; W Wirth; A Guermazi; F W Roemer; D J Hunter
Journal:  Arthritis Rheumatol       Date:  2015-12       Impact factor: 10.995

2.  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

3.  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

4.  Does the use of ordered values of subregional change in cartilage thickness improve the detection of disease progression in longitudinal studies of osteoarthritis?

Authors:  Robert J Buck; Bradley T Wyman; Marie-Pierre Hellio Le Graverand; Martin Hudelmaier; Wolfgang Wirth; Felix Eckstein
Journal:  Arthritis Rheum       Date:  2009-07-15

5.  Longitudinal validation of periarticular bone area and 3D shape as biomarkers for knee OA progression? Data from the FNIH OA Biomarkers Consortium.

Authors:  David Hunter; Michael Nevitt; John Lynch; Virginia Byers Kraus; Jeffrey N Katz; Jamie E Collins; Mike Bowes; Ali Guermazi; Frank W Roemer; Elena Losina
Journal:  Ann Rheum Dis       Date:  2015-10-19       Impact factor: 19.103

6.  Comparison of radiographic joint space width with magnetic resonance imaging cartilage morphometry: analysis of longitudinal data from the Osteoarthritis Initiative.

Authors:  Jeffrey Duryea; Gesa Neumann; Jingbo Niu; Saara Totterman; Jose Tamez; Christine Dabrowski; Marie-Pierre Hellio Le Graverand; Monica Luchi; Chan R Beals; David J Hunter
Journal:  Arthritis Care Res (Hoboken)       Date:  2010-07       Impact factor: 4.794

7.  Impact of obesity and knee osteoarthritis on morbidity and mortality in older Americans.

Authors:  Elena Losina; Rochelle P Walensky; William M Reichmann; Holly L Holt; Hanna Gerlovin; Daniel H Solomon; Joanne M Jordan; David J Hunter; Lisa G Suter; Alexander M Weinstein; A David Paltiel; Jeffrey N Katz
Journal:  Ann Intern Med       Date:  2011-02-15       Impact factor: 25.391

8.  OARSI guidelines for the non-surgical management of knee osteoarthritis.

Authors:  T E McAlindon; R R Bannuru; M C Sullivan; N K Arden; F Berenbaum; S M Bierma-Zeinstra; G A Hawker; Y Henrotin; D J Hunter; H Kawaguchi; K Kwoh; S Lohmander; F Rannou; E M Roos; M Underwood
Journal:  Osteoarthritis Cartilage       Date:  2014-01-24       Impact factor: 6.576

9.  A technique for regional analysis of femorotibial cartilage thickness based on quantitative magnetic resonance imaging.

Authors:  Wolfgang Wirth; Felix Eckstein
Journal:  IEEE Trans Med Imaging       Date:  2008-06       Impact factor: 10.048

10.  Semi-quantitative MRI biomarkers of knee osteoarthritis progression in the FNIH biomarkers consortium cohort - Methodologic aspects and definition of change.

Authors:  Frank W Roemer; Ali Guermazi; Jamie E Collins; Elena Losina; Michael C Nevitt; John A Lynch; Jeffrey N Katz; C Kent Kwoh; Virginia B Kraus; David J Hunter
Journal:  BMC Musculoskelet Disord       Date:  2016-11-10       Impact factor: 2.362

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  12 in total

1.  Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images.

Authors:  Romil F Shah; Alejandro M Martinez; Valentina Pedoia; Sharmila Majumdar; Thomas P Vail; Stefano A Bini
Journal:  J Arthroplasty       Date:  2019-07-24       Impact factor: 4.757

Review 2.  Dietary fruits and arthritis.

Authors:  Arpita Basu; Jace Schell; R Hal Scofield
Journal:  Food Funct       Date:  2018-01-24       Impact factor: 5.396

3.  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

4.  Validation of a novel blinding method for measuring postoperative knee articular cartilage using magnetic resonance imaging.

Authors:  Rebecca Moyer; Trevor Birmingham; Felix Eckstein; Wolfgang Wirth; Susanne Maschek; Blaine Chronik; J Robert Giffin
Journal:  MAGMA       Date:  2019-07-12       Impact factor: 2.310

Review 5.  [Advanced cartilage imaging for detection of cartilage injuries and osteochondral lesions].

Authors:  A S Gersing; B J Schwaiger; K Wörtler; P M Jungmann
Journal:  Radiologe       Date:  2018-05       Impact factor: 0.635

6.  Varus-valgus knee laxity is related to a higher risk of knee osteoarthritis incidence and structural progression: data from the osteoarthritis initiative.

Authors:  Mingyang Li; Yi Zeng; Yong Nie; Yuangang Wu; Yuan Liu; Limin Wu; Bin Shen
Journal:  Clin Rheumatol       Date:  2022-01-22       Impact factor: 2.980

7.  A pilot study of peripheral blood DNA methylation models as predictors of knee osteoarthritis radiographic progression: data from the Osteoarthritis Initiative (OAI).

Authors:  Christopher M Dunn; Michael C Nevitt; John A Lynch; Matlock A Jeffries
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

8.  Photobiomodulation Therapy Partially Restores Cartilage Integrity and Reduces Chronic Pain Behavior in a Rat Model of Osteoarthritis: Involvement of Spinal Glial Modulation.

Authors:  Gustavo Balbinot; Clarissa Pedrini Schuch; Patricia Severo do Nascimento; Fabio Juner Lanferdini; Mayra Casanova; Bruno Manfredini Baroni; Marco Aurélio Vaz
Journal:  Cartilage       Date:  2019-09-30       Impact factor: 3.117

9.  Longitudinal Changes in Ultrasound-Assessed Femoral Cartilage Thickness in Individuals from 4 to 6 Months Following Anterior Cruciate Ligament Reconstruction.

Authors:  Caroline Lisee; Matthew Harkey; Zachary Walker; Karin Pfeiffer; Tracey Covassin; Jeffrey Kovan; Katharine D Currie; Christopher Kuenze
Journal:  Cartilage       Date:  2021-08-12       Impact factor: 4.634

Review 10.  Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis.

Authors:  Akshay S Chaudhari; Feliks Kogan; Valentina Pedoia; Sharmila Majumdar; Garry E Gold; Brian A Hargreaves
Journal:  J Magn Reson Imaging       Date:  2019-11-21       Impact factor: 4.813

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