Literature DB >> 20851202

Comparison of BLOKS and WORMS scoring systems part II. Longitudinal assessment of knee MRIs for osteoarthritis and suggested approach based on their performance: data from the Osteoarthritis Initiative.

D T Felson1, J Lynch, A Guermazi, F W Roemer, J Niu, T McAlindon, M C Nevitt.   

Abstract

INTRODUCTION: There are two widely used scoring systems for knee magnetic resonance imaging (MRI) in osteoarthritis (OA) and the strengths and weaknesses of each system in terms of ease of use and association with known risk factors and outcomes are unknown.
OBJECTIVE: To compare Whole Organ Magnetic Resonance Imaging Score (WORMS) and Boston Leeds Osteoarthritis Knee Score (BLOKS) scales using longitudinal MRI and X-ray data.
METHODS: In the Osteoarthritis Initiative (OAI), knee radiographs, long limb films for alignment and MRI's were acquired in the interval from 0 to 24 months follow-up. OAI MRI's from baseline and 24 months were read separately using BLOKS and WORMS scales. X-rays were scored semiquantitatively for joint space loss and long limb films were measured for alignment angle. We evaluated which of the WORMS or BLOKS cartilage loss scores best correlated with joint space loss on the X-ray and which was best predicted by varus malalignment on long limb film. To examine the validity of bone marrow lesion (BML) and meniscal scales, we tested which of WORMS or BLOKS baseline scores for BML or meniscus best predicted cartilage loss from baseline to 24 months. We critically evaluated strengths and weaknesses of each scoring system also.
RESULTS: Of 113 knees read longitudinally, 33 showed any cartilage loss using BLOKS and 30 using WORMS with high agreement between the scales. In the medial compartment, both BLOKS and WORMS picked up only 42% of the knees with X-ray joint space loss with similar specificity (88 vs 86%). Varus knees were more likely to be a risk factor for medial cartilage loss in BLOKS [adj odds ratio (OR) 5.9 (95% confidence intervals (CIs) 1.5, 24.0)] than in WORMS [adj OR 2.1 (95% CI 0.7, 6.3)]. WORMS BML scores predicted cartilage loss more strongly than any BLOKS BML variables and some BLOKS BML measures did not affect risk of cartilage loss at all. However, across the range of scores, meniscal tear scores in BLOKS predicted cartilage loss better for each abnormality than did WORMS meniscal tear scores and the meniscal signal abnormality scored in BLOKS but not in WORMS, predicted cartilage loss. BLOKS took longer and was more difficult to score longitudinally especially for BML scores.
CONCLUSION: In a comparison of instruments limited by small numbers of knees compared, BLOKS meniscal score was preferable to WORMS meniscal scale in predicting cartilage loss most likely because it includes potentially important pathology missed by WORMS. On the other hand, BML scoring in WORMS was preferable in that it better predicted later cartilage loss, was easier to score and did not include potentially extraneous measures. Neither method was definitively better for cartilage scoring.
Copyright © 2010 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20851202      PMCID: PMC3005331          DOI: 10.1016/j.joca.2010.06.016

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


  12 in total

1.  The relationship between cartilage loss on magnetic resonance imaging and radiographic progression in men and women with knee osteoarthritis.

Authors:  Shreyasee Amin; Michael P LaValley; Ali Guermazi; Mikayel Grigoryan; David J Hunter; Margaret Clancy; Jingbo Niu; Daniel R Gale; David T Felson
Journal:  Arthritis Rheum       Date:  2005-10

2.  Comparison of BLOKS and WORMS scoring systems part II. Longitudinal assessment of knee MRIs for osteoarthritis and suggested approach based on their performance: data from the Osteoarthritis Initiative.

Authors:  D T Felson; J Lynch; A Guermazi; F W Roemer; J Niu; T McAlindon; M C Nevitt
Journal:  Osteoarthritis Cartilage       Date:  2010-09-17       Impact factor: 6.576

3.  Change in joint space width: hyaline articular cartilage loss or alteration in meniscus?

Authors:  D J Hunter; Y Q Zhang; X Tu; M Lavalley; J B Niu; S Amin; A Guermazi; H Genant; D Gale; D T Felson
Journal:  Arthritis Rheum       Date:  2006-08

4.  The association of bone marrow lesions with pain in knee osteoarthritis.

Authors:  D T Felson; C E Chaisson; C L Hill; S M Totterman; M E Gale; K M Skinner; L Kazis; D R Gale
Journal:  Ann Intern Med       Date:  2001-04-03       Impact factor: 25.391

Review 5.  The reliability of a new scoring system for knee osteoarthritis MRI and the validity of bone marrow lesion assessment: BLOKS (Boston Leeds Osteoarthritis Knee Score).

Authors:  D J Hunter; G H Lo; D Gale; A J Grainger; A Guermazi; P G Conaghan
Journal:  Ann Rheum Dis       Date:  2007-05-01       Impact factor: 19.103

6.  Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis.

Authors:  C G Peterfy; A Guermazi; S Zaim; P F J Tirman; Y Miaux; D White; M Kothari; Y Lu; K Fye; S Zhao; H K Genant
Journal:  Osteoarthritis Cartilage       Date:  2004-03       Impact factor: 6.576

7.  Premorbid knee osteoarthritis is not characterised by diffuse thinness: the Framingham Osteoarthritis Study.

Authors:  D J Hunter; J B Niu; Y Zhang; M LaValley; C E McLennan; M Hudelmaier; F Eckstein; D T Felson
Journal:  Ann Rheum Dis       Date:  2008-01-24       Impact factor: 19.103

8.  Subregional femorotibial cartilage morphology in women--comparison between healthy controls and participants with different grades of radiographic knee osteoarthritis.

Authors:  M-P Hellio Le Graverand; R J Buck; B T Wyman; E Vignon; S A Mazzuca; K D Brandt; M Piperno; H C Charles; M Hudelmaier; D J Hunter; C Jackson; V B Kraus; T M Link; S Majumdar; P V Prasad; T J Schnitzer; A Vaz; W Wirth; F Eckstein
Journal:  Osteoarthritis Cartilage       Date:  2009-03-24       Impact factor: 6.576

9.  Is obesity a risk factor for progressive radiographic knee osteoarthritis?

Authors:  J Niu; Y Q Zhang; J Torner; M Nevitt; C E Lewis; P Aliabadi; B Sack; M Clancy; L Sharma; D T Felson
Journal:  Arthritis Rheum       Date:  2009-03-15

10.  Does cartilage volume or thickness distinguish knees with and without mild radiographic osteoarthritis? The Framingham Study.

Authors:  S Reichenbach; M Yang; F Eckstein; J Niu; D J Hunter; C E McLennan; A Guermazi; F Roemer; M Hudelmaier; P Aliabadi; D T Felson
Journal:  Ann Rheum Dis       Date:  2010-01       Impact factor: 19.103

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  34 in total

Review 1.  Magnetic resonance imaging of subchondral bone marrow lesions in association with osteoarthritis.

Authors:  Li Xu; Daichi Hayashi; Frank W Roemer; David T Felson; Ali Guermazi
Journal:  Semin Arthritis Rheum       Date:  2012-04-26       Impact factor: 5.532

Review 2.  An illustrative overview of semi-quantitative MRI scoring of knee osteoarthritis: lessons learned from longitudinal observational studies.

Authors:  F W Roemer; D J Hunter; M D Crema; C K Kwoh; E Ochoa-Albiztegui; A Guermazi
Journal:  Osteoarthritis Cartilage       Date:  2015-08-28       Impact factor: 6.576

3.  Definition and classification of early osteoarthritis of the knee.

Authors:  Frank P Luyten; Matteo Denti; Giuseppe Filardo; Elizaveta Kon; Lars Engebretsen
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-11-08       Impact factor: 4.342

4.  Closing the gap between bench and bedside research for early arthritis therapies (EARTH): report from the AOSSM/NIH U-13 Post-Joint Injury Osteoarthritis Conference II.

Authors:  Constance R Chu; Bruce D Beynnon; Joseph A Buckwalter; William E Garrett; Jeffrey N Katz; Scott A Rodeo; Kurt P Spindler; Robert A Stanton
Journal:  Am J Sports Med       Date:  2011-07       Impact factor: 6.202

5.  Correlation of magnetic resonance imaging-based knee cartilage T2 measurements and focal knee lesions with body mass index: thirty-six-month followup data from a longitudinal, observational multicenter study.

Authors:  Thomas Baum; Gabby B Joseph; Lorenzo Nardo; Warapat Virayavanich; Ahilan Arulanandan; Hamza Alizai; Julio Carballido-Gamio; Michael C Nevitt; John Lynch; Charles E McCulloch; Thomas M Link
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-01       Impact factor: 4.794

Review 6.  Potential of PET-MRI for imaging of non-oncologic musculoskeletal disease.

Authors:  Feliks Kogan; Audrey P Fan; Garry E Gold
Journal:  Quant Imaging Med Surg       Date:  2016-12

7.  Synovitis and the risk of knee osteoarthritis: the MOST Study.

Authors:  D T Felson; J Niu; T Neogi; J Goggins; M C Nevitt; F Roemer; J Torner; C E Lewis; A Guermazi
Journal:  Osteoarthritis Cartilage       Date:  2015-09-30       Impact factor: 6.576

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.  Predictive validity of within-grade scoring of longitudinal changes of MRI-based cartilage morphology and bone marrow lesion assessment in the tibio-femoral joint--the MOST study.

Authors:  F W Roemer; M C Nevitt; D T Felson; J Niu; J A Lynch; M D Crema; C E Lewis; J Torner; A Guermazi
Journal:  Osteoarthritis Cartilage       Date:  2012-07-27       Impact factor: 6.576

10.  Can we have an overall osteoarthritis severity score for the patellofemoral joint using magnetic resonance imaging? Reliability and validity.

Authors:  Sarah Kobayashi; Anthony Peduto; Milena Simic; Marlene Fransen; Kathryn Refshauge; Jean Mah; Evangelos Pappas
Journal:  Clin Rheumatol       Date:  2017-11-06       Impact factor: 2.980

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