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Semiautomated digital analysis of knee joint space width using MR images

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Abstract

Objective

The goal of this study was to (a) develop a semiautomated computer algorithm to measure knee joint space width (JSW) from magnetic resonance (MR) images using standard imaging techniques and (b) evaluate the reproducibility of the algorithm.

Design

Using a standard clinical imaging protocol, bilateral knee MR images were obtained twice within a 2-week period from 17 asymptomatic research participants. Images were analyzed to determine the variability of the measurements performed by the program compared with the variability of manual measurements.

Results

Measurement variability of the computer algorithm was considerably smaller than the variability of manual measurements. The average difference between two measurements of the same slice performed with the computer algorithm by the same user was 0.004 ± 0.07 mm for the tibiofemoral joint (TF) and 0.009 ± 0.11 mm for the patellofemoral joint (PF) compared with an average of 0.12 ± 0.22 mm TF and 0.13 ± 0.29 mm PF, respectively, for the manual method. Interuser variability of the computer algorithm was also considerably smaller, with an average difference of 0.004 ± 0.1 mm TF and 0.0006 ± 0.1 mm PF compared with 0.38 ± 0.59 mm TF and 0.31 ± 0.66 mm PF obtained using a manual method. The between-day reproducibility was larger but still within acceptable limits at 0.09 ± 0.39 mm TF and 0.09 ± 0.51 mm PF. This technique has proven consistently reproducible on a same slice base,while the reproducibility comparing different acquisitions of the same subject was larger. Longitudinal reproducibility improvement needs to be addressed through acquisition protocol improvements.

Conclusion

A semiautomated method for measuring knee JSW from MR images has been successfully developed.

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References

  1. Mannoni A, Briganti MP, Di Bari M, Ferrucci L, Serni U, Masotti G et al. Epidemiological profile of symptomatic osteroarthritis in older adults: a population based study in Dicomano, Italy. Ann Rheum Dis 2003;32:576–8.

    Article  Google Scholar 

  2. Guccione AA, Felson DT, Anderson JJ, Anthony JM, Zhang W, Wilson PWF. The effects of specific medical conditions on the functional limitations of elders in the Framingham study. Am J Public Health 1994;84:351–8.

    Article  CAS  Google Scholar 

  3. Schipplein OD, Andriacchi T. Interaction between active and passive knee stabilizers during level walking. J Orthop Res 1991;9:113–9.

    Article  CAS  Google Scholar 

  4. Harrington IJ. Static and dynamic loading patterns in knee joints with deformities. J Bone Joing Surg 1983;65-A:247–59.

    Article  Google Scholar 

  5. Baliunas AJ, Hurwitz DE, Ryals AB, Karrar A, Case JP, Block JA, Andriacchi TP. Increased knee joint loads during walking are present in subjects with knee osteoarthritis. Osteoarthr Cartil 2002;10:573–9.

    Article  CAS  Google Scholar 

  6. Chang A, Hayes K, Dunlop D, Hurwitz D, Song J, Cahue S et al. Thrust during ambulation and the progression of knee osteoarthritis. Arthritis Rheum 2004;50:3897–903.

    Article  Google Scholar 

  7. Bennet GA, Waine HW, Bauer W. Changes in the joint at various ages with particular reference to the nature and development of degenerative joint disease. New York: The Commonwealth Fund; 1942.

    Google Scholar 

  8. Gunther KP, Sun T. Reliability of radiographic assessment in hip and knee osteoarthritis. Osteoarthr Cartil 1999;7:239–46.

    Article  CAS  Google Scholar 

  9. Dacre JE, Huskisson E. The automatic assessment of knee radiographs in osteoarthritis using digital image analysis. Br J Rheumatol 1989;28:506–10.

    Article  CAS  Google Scholar 

  10. Lynch JA, Buckland-Wright JC, Macfarlane DG. Precision of joint space width measurement in knee osteoarthritis from digital image analysis of high definition macroradiographs. Osteoarthr Cartil 1993;1:209–18.

    Article  CAS  Google Scholar 

  11. Piperno M, Le Graverand M-PH, Conrozier T, Bochu M, Mathieu P, Vignon E. Quantitative evaluation of joint space width in femorotibial osteoarthritis: comparison of three radiographic views. Osteoarthr Cartil 1998;6:252–9.

    Article  CAS  Google Scholar 

  12. Schmidt JE, Amrami KK, Manduca A, Kaufman KR. Semi-automated digital image analysis of joint space width in knee radiographs. Skelet Radiol 2005;34:639–43

    Article  CAS  Google Scholar 

  13. Grochowski SJ, Amrami KK, Kaufman K. Semi-automated digital image analysis of patellofemoral joint space width from lateral knee radiographs. Skelet Radiol 2005;34:644–8

    Article  CAS  Google Scholar 

  14. McWalter EJ, Wirth W, Siebert M, von Eisenhart-Rothe RM, Hudelmaier M, Wilson DR et al. Use of novel interactive input devices for segmentation of articular cartilage from magnetic resonance images. Osteoarthr Cartil 2005;13:48–53.

    Article  CAS  Google Scholar 

  15. Kaufman K, Hughes C, Morrey B, Morrey M, An K. Gait characteristics of patients with knee osteoarthritis. J Biomech 2001;34:907–15.

    Article  CAS  Google Scholar 

  16. Morlock M, Schneider E, Bluhm A, Vollmer M, Bergmann G, Muller V, Honl M. Duration and frequency of everyday activities in total hip patients. J Biomech 2001;34:873–82.

    Article  CAS  Google Scholar 

  17. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;i:307.

    Article  Google Scholar 

  18. Gandy SJ, Dieppe PA, Keen MC, Maciewicz RA, Watt I, Waterton JC. No loss of cartilage volume over three years in patients with knee osteoarthritis as assessed by magnetic resonance imaging. Osteoarthr Cartil 2002;10:929–37.

    Article  CAS  Google Scholar 

  19. Bruyere O, Genant HK, Kothari M, Zaim S, White DE, Peterfy CG, Burlet N, Richy F, Ethgen D, Montague T, Dabrowski C, Reginster JY. Longitudinal study of magnetic resonance imaging and standard x-rays to assess disease progression in osteoarthritis. Osteoarthr Cartil 2006 (Epub ahead of print).

  20. Boegard T, Rudling O, Peterrsson I, Sanfridsson J, Saxne T, Svensson B, Jonsson K. Joint space width in the axial view of the patellofemoral joint: definitions and comparison with MR imaging. Acta Radiol 1998;39:24–31.

    CAS  PubMed  Google Scholar 

  21. Kijowski R, Blankenbaker D, Stanton P, Fine JB, DeSmet A. Correlation between radiographic findings of osteoarthritis and arthroscopic findings of articular cartilage degeneration within the patellofemoral joint. Skelet Radiol 2006; 35(12):895–902.

    Google Scholar 

  22. Peterfy CG, van Dijke CF, Janzen DL, Gluer CC, Namba R, Majumdar S, Lang P, Genant HK. Quantification of articular cartilage in the knee with pulsed saturation transfer subtraction and fat-suppressed MR imaging: optimization and validation. Radiology 1994;192:485–91.

    Article  CAS  Google Scholar 

  23. Pilch L, Stewart C, Gordon D, Inman R, Parsons K, Pataki I, Stevens J. Assessment of cartilage volume in the femorotibial joint with magnetic resonance imaging and 3D computer reconstruction. J Rheumatol 1994;21:2307–21.

    CAS  PubMed  Google Scholar 

  24. Eckstein F, Westhoff J, Sittek H, Maag K-P, Haubner M, Faber S, Englmeier K-H, Reiser M. In-vivo reproducibility of three-dimensional cartilage volume and thickness measurements with MR imaging. AJR Am J Roentgenol 1998;170:593–7.

    Article  CAS  Google Scholar 

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Acknowledgement

This study was funded by a grant from NIH (NIAMS R01 AR 48768).

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Correspondence to Kenton R. Kaufman.

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Agnesi, F., Amrami, K.K., Frigo, C.A. et al. Semiautomated digital analysis of knee joint space width using MR images. Skeletal Radiol 36, 437–444 (2007). https://doi.org/10.1007/s00256-006-0245-7

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  • DOI: https://doi.org/10.1007/s00256-006-0245-7

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