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Validation of Fully Automatic Quantitative Software for Finger Joint Space Narrowing Progression for Rheumatoid Arthritis Patients

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Abstract

In rheumatoid arthritis (RA), the radiographic progression of joint space narrowing (JSN) is evaluated using visual assessments. However, those methods are complicated and time-consuming. We developed an automatic system that can detect joint locations and compute the joint space difference index (JSDI), which was defined as the chronological change in JSN between two radiographs. The purpose of this study was to establish the validity of the software that automatically evaluates the temporal change of JSN. This study consisted of 39 patients with RA. All patients were treated with tocilizumab and underwent hand radiography (left and right hand separately) at 0, 6, and 12 months. The JSN was evaluated using mTSS (modified Total Sharp Score) by one musculoskeletal radiologist as well as our automatic system. Software measurement showed that JSDI between 0 and 12 months was significantly higher than that between 0 and 6 months (p < 0.01). While, there was no significant difference in mTSS between 0, 6, and 12 months. The group with higher disease activity at 0 months had significantly higher JSDI between 0 and 6 months than that with lower disease activity (p = 0.02). The automatic software can evaluate JSN progression of RA patients in the finger joint on X-ray.

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References

  1. Gary SF: Evolving concepts of rheumatoid arthritis. Nature 423:356-361, 2003

    Article  Google Scholar 

  2. McInnes IB, Schett G: The pathogenesis of rheumatoid arthritis. N Engl J Med 365:2205-2219, 2011

    Article  CAS  Google Scholar 

  3. Pollard L, Choy EH, Scott, DL: The consequences of rheumatoid arthritis: quality of life measures in the individual patient, 2005

  4. Van Nies JAB, Krabben A, Schoones JW, Huizinga TWJ, Kloppenburg M, Van Der Helm-Van Mil AHM: What is the evidence for the presence of a therapeutic window of opportunity in rheumatoid arthritis? A systematic literature review: BMJ Publishing Group, 2014

  5. Emery P, Breedveld FC, Dougados M, Kalden JR, Schiff MH, Smolen JS: Early referral recommendation for newly diagnosed rheumatoid arthritis: evidence based development of a clinical guide. Ann Rheum Dis 61:290-297, 2002

    Article  CAS  Google Scholar 

  6. Boers M: Understanding the window of opportunity concept in early rheumatoid arthritis, 2003

  7. Scott DL, Smith C, Kingsley G: Joint damage and disability in rheumatoid arthritis:An updated systematic review. Clin Exp Rheumatol 21:S20-27, 2003

    CAS  PubMed  Google Scholar 

  8. van der Heijde D: How to read radiographs according to the Sharp/van der Heijde method. J Rheumatol 27:261-263, 2000

    PubMed  Google Scholar 

  9. Van Der Heijde D, Boonen A, Boers M, Kostense P, Van Der Linden S: Reading radiographs in chronological order, in pairs or as single films has important implications for the discriminative power of rheumatoid arthritis clinical trials, 1999

  10. Sharp J, et al.: Variability of precision in scoring radiographic abnormalities in rheumatoid arthritis by experienced readers. J Rheumatol 31:1062-1072, 2004

    PubMed  Google Scholar 

  11. van 't Klooster R, Hendriks EA, Watt I, Kloppenburg M, Reiber JHC, Stoel BC: Automatic quantification of osteoarthritis in hand radiographs: validation of a new method to measure joint space width. Osteoarthr Cartil 16:18-25, 2008

    Article  Google Scholar 

  12. Langs G, Peloschek P, Bischof H, Kainberger F: Automatic quantification of joint space narrowing and erosions in rheumatoid arthritis. IEEE Trans Med Imaging 28:151-164, 2009

    Article  Google Scholar 

  13. Huo Y, Vincken KL, Van Der Heijde D, De Hair MJH, Lafeber FP, Viergever MA: Automatic quantification of radiographic finger joint space width of patients with early rheumatoid arthritis. IEEE Trans Biomed Eng 63:2177-2186, 2016

    Article  Google Scholar 

  14. Bielecki A, Korkosz M, Zieliński B: Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation. Pattern Recogn 41:3786-3798, 2008

    Article  Google Scholar 

  15. Ichikawa S, Kamishima T, Sutherland K, Okubo T, Katayama K: Performance of computer-based analysis using temporal subtraction to assess joint space narrowing progression in rheumatoid patients. Rheumatol Int 36:101-108, 2016

    Article  Google Scholar 

  16. Ichikawa S, Kamishima T, Sutherland K, Okubo T, Katayama K: Radiographic quantifications of joint space narrowing progression by computer-based approach using temporal subtraction in rheumatoid wrist. Br J Radiol 89, 2016

  17. Hatano K, et al.: A reliability study using computer-based analysis of finger joint space narrowing in rheumatoid arthritis patients. Rheumatol Int 37:189-195, 2017

    Article  Google Scholar 

  18. Okino T, et al.: Radiographic temporal subtraction analysis can detect finger joint space narrowing progression in rheumatoid arthritis with clinical low disease activity. Acta Radiol 59:460-467, 2018

    Article  Google Scholar 

  19. Kato K, et al.: Detection of fine radiographic progression in finger joint space narrowing beyond human eyes: Phantom experiment and clinical study with rheumatoid arthritis patients. Sci Rep 9:8526-8526, 2019

    Article  Google Scholar 

  20. Sharp van der Heijde Score Available at http://rheumatology.usherbrooke.ca/?q=scoresharp. Accessed 8 Aug 2020.

  21. Matrox Imaging Library (MIL). Available at https://www.matrox.com/imaging/en/products/software/mil/. Accessed 8 Aug 2020.

  22. Salaffi F, Carotti M, Ciapetti A, Gasparini S, Filippucci E, Grassi W: Relationship between time-integrated disease activity estimated by DAS28-CRP and radiographic progression of anatomical damage in patients with early rheumatoid arthritis. BMC Musculoskelet Disord 12, 2011

  23. Baker JF, et al.: Development and validation of modified disease activity scores in rheumatoid arthritis: Superior correlation with magnetic resonance imaging-detected synovitis and radiographic progression. Arthritis Rheum 66:794-802, 2014

    Article  Google Scholar 

  24. Keystone EC, Ahmad HA, Yazici Y, Bergman MJ: Disease activity measures at baseline predict structural damage progression: data from the randomized, controlled AMPLE and AVERT trials. Rheumatology, 2019

  25. Nam JL, et al.: Efficacy of biological disease-modifying antirheumatic drugs: A systematic literature review informing the 2016 update of the EULAR recommendations for the management of rheumatoid arthritis. Ann Rheum Dis 76:1108-1113, 2017

    Article  CAS  Google Scholar 

  26. Scott LJ: Tocilizumab: A Review in Rheumatoid Arthritis. Drugs 77:1865-1879, 2017

    Article  CAS  Google Scholar 

  27. Zerbini CAF, et al.: Biologic therapies and bone loss in rheumatoid arthritis: Springer London, 2017

    Book  Google Scholar 

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Correspondence to Tamotsu Kamishima.

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Video clip to show the flow of pattern matching. After models of hand, bone and finger joint ROI specification are consecutively matched, the baseline and follow up images are been aligned on the target joint, then the JSDI is computed by considering the pixels within the joint ROI. (AVI 261 kb)

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Narisawa, C., Sutherland, K., Lu, Y. et al. Validation of Fully Automatic Quantitative Software for Finger Joint Space Narrowing Progression for Rheumatoid Arthritis Patients. J Digit Imaging 33, 1387–1392 (2020). https://doi.org/10.1007/s10278-020-00390-6

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  • DOI: https://doi.org/10.1007/s10278-020-00390-6

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