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MRI of the wrist in juvenile idiopathic arthritis: proposal of a paediatric synovitis score by a consensus of an international working group. Results of a multicentre reliability study

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An Erratum to this article was published on 20 October 2012

Abstract

Background

MRI is a sensitive tool for the evaluation of synovitis in juvenile idiopathic arthritis (JIA).

Objective

The purpose of this study was to introduce a novel MRI-based score for synovitis in children and to examine its inter- and intraobserver variability in a multi-centre study.

Materials and methods

Wrist MRI was performed in 76 children with JIA. On postcontrast 3-D spoiled gradient-echo and fat-suppressed T2-weighted spin-echo images, joint recesses were scored for the degree of synovial enhancement, effusion and overall inflammation independently by two paediatric radiologists. Total-enhancement and inflammation-synovitis scores were calculated.

Results

Interobserver agreement was poor to moderate for enhancement and inflammation in all recesses, except in the radioulnar and radiocarpal joints. Intraobserver agreement was good to excellent. For enhancement and inflammation scores, mean differences (95 % CI) between observers were −1.18 (−4.79 to 2.42) and −2.11 (−6.06 to 1.83). Intraobserver variability (reader 1) was 0 (−1.65 to 1.65) and 0.02 (−1.39 to 1.44).

Conclusion

Intraobserver agreement was good. Except for the radioulnar and radiocarpal joints, interobserver agreement was not acceptable. Therefore, the proposed scoring system requires further refinement.

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References

  1. Ravelli A, Martini A (2007) Juvenile idiopathic arthritis. Lancet 369:767–778

    Article  PubMed  CAS  Google Scholar 

  2. Cassidy JT, Petty RE, Laxer RM et al (2005) Textbook of pediatric rheumatology, 5th edn. Elsevier, Philadelphia

    Google Scholar 

  3. Martini A, Lovell DJ (2010) Juvenile idiopathic arthritis: state of the art and future perspectives. Ann Rheum Dis 69:1260–1263

    Article  PubMed  Google Scholar 

  4. Breedveld F (2011) The value of early intervention in RA-a window of opportunity. Clin Rheumatol 30(Suppl 1):S33–39

    Google Scholar 

  5. Lovell DJ, Giannini EH, Reiff A et al (2000) Etanercept in children with polyarticular juvenile rheumatoid arthritis. N Engl J Med 342:763–769

    Article  PubMed  CAS  Google Scholar 

  6. Lovell DJ, Ruperto N, Goodman S et al (2008) Adalimumab with or without methotrexate in juvenile rheumatoid arthritis. N Engl J Med 359:810–820

    Article  PubMed  CAS  Google Scholar 

  7. Ruperto N, Lovell DJ, Quartier P et al (2008) Abatacept in children with juvenile idiopathic arthritis: a randomised, double-blind, placebo-controlled withdrawal trial. Lancet 372:383–391

    Article  PubMed  CAS  Google Scholar 

  8. Nistala K, Babar J, Johnson K et al (2007) Clinical assessment and core outcome variables are poor predictors of hip arthritis diagnosed by MRI in juvenile idiopathic arthritis. Rheumatology (Oxford) 46:699–702

    Article  CAS  Google Scholar 

  9. Lamer S, Sebag GH (2000) MRI and ultrasound in children with juvenile chronic arthritis. Eur J Radiol 33:85–93, Review

    Article  PubMed  CAS  Google Scholar 

  10. Brown AK, Quinn MA, Karim Z et al (2006) Presence of significant synovitis in rheumatoid arthritis patients with disease-modifying antirheumatic drug-induced clinical remission: evidence from an imaging study may explain structural progression. Arthritis Rheum 54:3761–3773

    Article  PubMed  CAS  Google Scholar 

  11. Østergaard M, Peterfy C, Conaghan P et al (2003) OMERACT Rheumatoid Arthritis Magnetic Resonance Imaging Studies. Core set of MRI acquisitions, joint pathology definitions, and the OMERACT RA-MRI scoring system. J Rheumatol 30:1385–1386

    PubMed  Google Scholar 

  12. Haavardsholm EA, Ostergaard M, Ejbjerg BJ et al (2005) Reliability and sensitivity to change of the OMERACT rheumatoid arthritis magnetic resonance imaging score in a multireader, longitudinal setting. Arthritis Rheum 52:3860–3867

    Article  PubMed  Google Scholar 

  13. Conaghan P, Lassere M, Østergaard M et al (2003) OMERACT Rheumatoid Arthritis Magnetic Resonance Imaging Studies. Exercise 4: an international multicenter longitudinal study using the RA-MRI Score. J Rheumatol 30:1376–1379

    PubMed  Google Scholar 

  14. Malattia C, Damasio MB, Pistorio A et al (2011) Development and preliminary validation of a paediatric-targeted MRI scoring system for the assessment of disease activity and damage in juvenile idiopathic arthritis. Ann Rheum Dis 70:440–446

    Article  PubMed  Google Scholar 

  15. Hodgson RJ, O’Connor P, Moots R (2008) MRI of rheumatoid arthritis—image quantitation for the assessment of disease activity, progression and response to therapy. Rheumatology 47:13–21

    Article  PubMed  CAS  Google Scholar 

  16. Konig H, Sieper J, Wolf KJ et al (1990) Rheumatoid arthritis: evaluation of hypervascular and fibrous pannus with dynamic MR imaging enhanced with Gd-DTPA. Radiology 176:473–477

    PubMed  CAS  Google Scholar 

  17. Malattia C, Damasio MB, Basso C et al (2010) Dynamic contrast-enhanced magnetic resonance imaging in the assessment of disease activity in patients with juvenile idiopathic arthritis. Rheumatology (Oxford) 49:178–185

    Article  Google Scholar 

  18. Workie DW, Graham TB, Laor T et al (2007) Quantitative MR characterization of disease activity in the knee in children with juvenile idiopathic arthritis: a longitudinal pilot study. Pediatr Radiol 37:535–543

    Article  PubMed  Google Scholar 

  19. Boers M, Brooks P, Strand CV et al (1998) The OMERACT filter for outcome measures in rheumatology. J Rheumatol 25:198–199

    PubMed  CAS  Google Scholar 

  20. Petty RE, Southwood TR, Manners P et al (2004) International League of Associations for Rheumatology classification of juvenile idiopathic arthritis: second revision, Edmonton 2001. J Rheumatol 31:390–392

    PubMed  Google Scholar 

  21. Ejbjerg B, McQueen F, Lassere M et al (2005) The EULAR-OMERACT rheumatoid arthritis MRI reference image atlas: the wrist joint. Ann Rheum Dis 64(Suppl 1):i23–i47

    Article  PubMed  Google Scholar 

  22. Donner A, Eliasziw M (1987) Sample size requirements for reliability studies. Stat Med 6:441–448

    Article  PubMed  CAS  Google Scholar 

  23. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174

    Article  PubMed  CAS  Google Scholar 

  24. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between methods of clinical measurement. Lancet 1:307–310

    Article  Google Scholar 

  25. Deyo RA, Diehr P, Patrick DL (1991) Reproducibility and responsiveness of health status measures: statistics and strategies for evaluation. Control Clin Trials 12(Suppl 4):142S–158S

    Article  PubMed  CAS  Google Scholar 

  26. Swinscow TDV (1997) Statistics at square one, 9th edn. Revised by Campbell MJ, University of Southampton. BMJ Publishing Group, Southampton, London, p 78

  27. Gaffney K, Cookson J, Blades S et al (1998) Quantitative assessment of the rheumatoid synovial microvascular bed by gadolinium-DTPA enhanced magnetic resonance imaging. Ann Rheum Dis 57:152–157

    Article  PubMed  CAS  Google Scholar 

  28. Konig H, Sieper J, Wolf KJ (1990) Rheumatoid arthritis: evaluation of hypervascular and fibrous pannus with dynamic MR imaging enhanced with Gd-DTPA. Radiology 176:473–477

    PubMed  CAS  Google Scholar 

  29. Ostergaard M, Klarlund M, Lassere M et al (2001) Interreader agreement in the assessment of magnetic resonance images of rheumatoid arthritis wrist and finger joints—an international multicenter study. J Rheumatol 28:1143–1150

    PubMed  CAS  Google Scholar 

  30. Bird P, Joshua F, Lassere M et al (2005) Training and calibration improve inter-reader reliability of joint damage assessment using magnetic resonance image scoring and computerized erosion volume measurement. J Rheumatol 32:1452–1458

    PubMed  Google Scholar 

  31. Ejbjerg BJ, Vestergaard A, Jacobsen S et al (2005) The smallest detectable difference and sensitivity to change of magnetic resonance imaging and radiographic scoring of structural joint damage in rheumatoid arthritis finger, wrist, and toe joints: a comparison of the OMERACT rheumatoid arthritis magnetic resonance imaging score applied to different joint combinations and the Sharp/van der Heijde radiographic score. Arthritis Rheum 52:2300–2306

    Article  PubMed  Google Scholar 

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Acknowledgement

Supported by a grant from the European Union, Health-e-Child Integrated Project (IST-2004-027749).

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Correspondence to Maria Beatrice Damasio.

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Damasio, M.B., Malattia, C., Tanturri de Horatio, L. et al. MRI of the wrist in juvenile idiopathic arthritis: proposal of a paediatric synovitis score by a consensus of an international working group. Results of a multicentre reliability study. Pediatr Radiol 42, 1047–1055 (2012). https://doi.org/10.1007/s00247-012-2392-4

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  • DOI: https://doi.org/10.1007/s00247-012-2392-4

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