Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Accuracy of Model-based RSA Contour Reduction in a Typical Clinical Application

  • Original Article
  • Published:
Clinical Orthopaedics and Related Research

Abstract

Marker-based roentgen stereophotogrammetric analysis (RSA) is an accurate method for measuring in vivo implant migration, which requires attachment of tantalum markers to the implant. Model-based RSA allows migration measurement without implant markers; digital pose estimation, which can be thought of as casting a shadow of a surface model of the implant into the stereoradiographs, is used instead. The number of surface models required in a given clinical study depends on the number of implanted sizes and design variations of prostheses. Contour selection can be used to limit pose estimation to areas of the prosthesis that do not vary with design, reducing the number of surface models required. The effect of contour reduction on the accuracy of the model-based method was investigated using three different contour selection schemes on tibial components in 24 patients at 3 and 6 month followup. The agreement interval (mean ± 2 standard deviations), which bounds the differences between the marker-based and model-based methods with contour reduction was smaller than −0.028 ± 0.254 mm. The data suggest that contour reduction does not result in unacceptable loss of model-based RSA accuracy, and that the model-based method can be used interchangeably with the marker-based method for measuring tibial component migration.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2A–B
Fig. 3
Fig. 4A–F
Fig. 5A–D

Similar content being viewed by others

References

  1. Banks SA, Hodge WA. Accurate measurement of three-dimensional knee replacement kinematics using single-plane fluoroscopy. IEEE Trans Biomed Eng. 1996;43:638–649.

    Article  PubMed  CAS  Google Scholar 

  2. Biedermann R, Krismer M, Stockl B, Mayrhofer P, Ornstein E, Franzen H. Accuracy of EBRA-FCA in the measurement of migration of femoral components of total hip replacement. Einzel-Bild-Rontgen-Analyse-femoral component analysis. J Bone Joint Surg Br. 1999;81:266–272.

    Article  PubMed  CAS  Google Scholar 

  3. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–310.

    PubMed  CAS  Google Scholar 

  4. Borlin N, Rohrl SM, Bragdon CR. RSA wear measurements with or without markers in total hip arthroplasty. J Biomech. 2006;39:1641–1650.

    Article  PubMed  Google Scholar 

  5. Freeman MA, Plante-Bordeneuve P. Early migration and late aseptic failure of proximal femoral prostheses. J Bone Joint Surg Br. 1994;76:432–438.

    PubMed  CAS  Google Scholar 

  6. Ilchmann T, Franzen H, Mjoberg B, Wingstrand H. Measurement accuracy in acetabular cup migration: a comparison of four radiologic methods versus roentgen stereophotogrammetric analysis. J Arthroplasty. 1992;7:121–127.

    Article  PubMed  CAS  Google Scholar 

  7. Jorn LP, Friden T, Ryd L, Lindstrand A. Simultaneous measurements of sagittal knee laxity with an external device and radiostereometric analysis. J Bone Joint Surg Br. 1998;80:169–172.

    Article  PubMed  CAS  Google Scholar 

  8. Kaptein BL, Valstar ER, Spoor CW, Stoel BC, Rozing PM. Model-based RSA of a femoral hip stem using surface and geometrical shape models. Clin Orthop Relat Res. 2006;448:92–97.

    Article  PubMed  Google Scholar 

  9. Kaptein BL, Valstar ER, Stoel BC, Reiber HC, Nelissen RG. Clinical validation of model-based RSA for a total knee prosthesis. Clin Orthop Relat Res. 2007;464:205–209.

    PubMed  Google Scholar 

  10. Kaptein BL, Valstar ER, Stoel BC, Rozing PM, Reiber JH. A new model-based RSA method validated using CAD models and models from reversed engineering. J Biomech. 2003;36:873–882.

    Article  PubMed  CAS  Google Scholar 

  11. Kaptein BL, Valstar ER, Stoel BC, Rozing PM, Reiber JH. Evaluation of three pose estimation algorithms for model-based roentgen stereophotogrammetric analysis. Proc Inst Mech Eng [H]. 2004;218:231–238.

    CAS  Google Scholar 

  12. Karrholm J. Roentgen stereophotogrammetry: review of orthopedic applications. Acta Orthop Scand. 1989;60:491–503.

    Article  PubMed  CAS  Google Scholar 

  13. Karrholm J, Borssen B, Lowenhielm G, Snorrason F. Does early micromotion of femoral stem prostheses matter? 4–7-year stereoradiographic follow-up of 84 cemented prostheses. J Bone Joint Surg Br. 1994;76:912–917.

    PubMed  CAS  Google Scholar 

  14. Karrholm J, Gill RH, Valstar ER. The history and future of radiostereometric analysis. Clin Orthop Relat Res. 2006;448:10–21.

    Article  PubMed  Google Scholar 

  15. Karrholm J, Malchau H, Snorrason F, Herberts P. Micromotion of femoral stems in total hip arthroplasty: a randomized study of cemented, hydroxyapatite-coated, and porous-coated stems with roentgen stereophotogrammetric analysis. J Bone Joint Surg Am. 1994;76:1692–1705.

    PubMed  CAS  Google Scholar 

  16. Krismer M, Biedermann R, Stockl B, Fischer M, Bauer R, Haid C. The prediction of failure of the stem in THR by measurement of early migration using EBRA-FCA: Einzel-Bild-Roentgen-Analyse-femoral component analysis. J Bone Joint Surg Br. 1999;81:273–280.

    Article  PubMed  CAS  Google Scholar 

  17. Mahfouz MR, Hoff WA, Komistek RD, Dennis DA. Effect of segmentation errors on 3D-to-2D registration of implant models in x-ray images. J Biomech. 2005;38:229–239.

    Article  PubMed  Google Scholar 

  18. Medis bv. RSA-CMS 4.3 User Manual. Leiden, The Netherlands: Medis Medical Imaging Systems bv; 2004.

  19. Ryd L, Albrektsson BE, Carlsson L, Dansgard F, Herberts P, Lindstrand A, Regner L, Toksvig-Larsen S. Roentgen stereophotogrammetric analysis as a predictor of mechanical loosening of knee prostheses. J Bone Joint Surg Br. 1995;77:377–383.

    PubMed  CAS  Google Scholar 

  20. Ryd L, Yuan X, Lofgren H. Methods for determining the accuracy of radiostereometric analysis (RSA). Acta Orthop Scand. 2000;71:403–408.

    Article  PubMed  CAS  Google Scholar 

  21. Selvik G. Roentgen stereophotogrammetry: a method for the study of the kinematics of the skeletal system. Acta Orthop Scand Suppl. 1989;232:1–51.

    PubMed  CAS  Google Scholar 

  22. Sundfeldt M, Carlsson LV, Johansson CB, Thomsen P, Gretzer C. Aseptic loosening, not only a question of wear: a review of different theories. Acta Orthop. 2006;77:177–197.

    Article  PubMed  Google Scholar 

  23. Valstar ER, de Jong FW, Vrooman HA, Rozing PM, Reiber JH. Model-based Roentgen stereophotogrammetry of orthopaedic implants. J Biomech. 2001;34:715–722.

    Article  PubMed  CAS  Google Scholar 

  24. Valstar ER, Gill HS. Radiostereometric analysis in orthopaedic surgery: editorial comment. Clin Orthop Relat Res. 2006;448:2.

    Article  PubMed  Google Scholar 

  25. Valstar ER, Gill R, Ryd L, Flivik G, Borlin N, Karrholm J. Guidelines for standardization of radiostereometry (RSA) of implants. Acta Orthop. 2005;76:563–572.

    Article  PubMed  Google Scholar 

  26. Valstar ER, Nelissen RG, Reiber JH, Rozing PM. The use of Roentgen sterophotogrammetry to study micromotion of orthopaedic implants. ISPRS Journal of Photogrammetry & Remote Sensing. 2002;56:376–389.

    Article  Google Scholar 

Download references

Acknowledgments

We thank G. Klabisch, H. Kleinschmidt, and E. Fröhlich of the Annastift Radiology Department.

Author information

Authors and Affiliations

  1. Department of Orthopaedics, Laboratory for Biomechanics and Biomaterials, Hannover Medical School, Anna-von-Borries-Str 1-7, 30625, Hannover, Germany

    Christof Hurschler PhD, Frank Seehaus Dipl-Sportwiss, Judith Emmerich MD & Henning Windhagen MD

  2. Department of Orthopaedics, Leiden University Medical Center, Leiden, The Netherlands

    Bart L. Kaptein PhD

  3. Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands

    Bart L. Kaptein PhD

Authors
  1. Christof Hurschler PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Frank Seehaus Dipl-Sportwiss
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Judith Emmerich MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bart L. Kaptein PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Henning Windhagen MD
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christof Hurschler PhD.

Additional information

Each author certifies that he or she has no commercial associations (eg, consultancies, stock ownership, equity interest, patent/licensing arrangements, etc) that might pose a conflict of interest in connection with the submitted article.

Each author certifies that his or her institution has approved the human protocol for this investigation, that all investigations were conducted in conformity with ethical principles of research, and that informed consent for participation in the study was obtained.

About this article

Cite this article

Hurschler, C., Seehaus, F., Emmerich, J. et al. Accuracy of Model-based RSA Contour Reduction in a Typical Clinical Application. Clin Orthop Relat Res 466, 1978–1986 (2008). https://doi.org/10.1007/s11999-008-0287-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11999-008-0287-3

Keywords

Search

Navigation