Skip to main content
Log in

Evaluation of Mechanical Adaptation on Preoperative Planning for Total Hip Arthroplasty

  • Regular Paper
  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

Bone structure can change by remodeling to adapt to mechanical status. Such change can result in bone affecting the long-term stability of the stem. The objective of this study was to propose a method to evaluate mechanical adaptation for preoperative planning of total hip arthroplasty. Finite element models of preoperative planning were examined in two ways: bone remodeling simulation and initial mechanical status of femur. A mathematical model of remodeling for long-term changes of bone was developed assuming that bone resorption/formation could be distinguished by strain magnitude of bone. Also, initial compatibility between stem and bone was set with four strain levels based on mechanostat theory. The results of bone remodeling simulation were shown average equivalent stress change was mainly observed in Gruen zone 1 and zone 7 where stress shielding or bone resorption could occur. The proportion of this value was the smallest in the first choice of the stem by a specialist surgeon. Also, these are showed same tendency with evaluation of initial strain distribution results that Gruen zone 1 and 7. Initial strain distribution after total hip arthroplasty was correlated with the long-term change of bone structures after total hip arthroplasty. Bone structure changes around prostheses occur due to changes in the mechanical environment, and this is correlated with strain distribution of immediate post-operative model. Findings of this study suggest that biomechanical indices might be useful for exploring difference in long-term fitting among different surgical plans.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Klein-Nulend, J., Bacabac, R. G., & Mullender, M. G. (2001). Mechanobiology of bone tissue. Pathologie-Biologie, 53, 576–580.

    Google Scholar 

  2. Hughes, J. (2010). Biological underpinnings of Frost’s mechanostat thresholds: the important role of osteocytes. Journal of Musculoskelet Neuronal Interact, 10(April), 128–135.

    Google Scholar 

  3. Kaneps, A. J., Stover, S. M., & Lane, N. E. (1997). Changes in canine cortical and cancellous bone mechanical properties following immobilization and remobilization with exercise. Bone, 21(5), 419–423.

    Google Scholar 

  4. Frost, H. M. (2003). Bone’s mechanostat: a 2003 update. The Anatomical Record. Part A, Discoveries in Molecular, Cellular, and Evolutionary Biology, 275(2), 1081–1101.

    Google Scholar 

  5. Gu, G., Mulari, M., Peng, Z., Hentunen, T. A., & Väänänen, H. K. (2005). Death of osteocytes turns off the inhibition of osteoclasts and triggers local bone resorption. Biochemical and Biophysical Research Communications, 335(4), 1095–1101.

    Google Scholar 

  6. Tanck, E., Ruimerman, R., & Huiskes, R. (2006). Trabecular architecture can remain intact for both disuse and overload enhanced resorption characteristics. Journal of Biomechanics, 39(14), 2631–2637.

    Google Scholar 

  7. Skerry, T. M. (2008). The response of bone to mechanical loading and disuse: fundamental principles and influences on osteoblast/osteocyte homeostasis. Archives of Biochemistry and Biophysics, 473(2), 117–123.

    Google Scholar 

  8. Makarand, G., Joshi, S., Adavani, F., & Michael, H. (2000). Analysis of a femoral hip prosthesis designed to reduce stress shielding. Journal of Biomechanics, 33, 1655–1662.

    Google Scholar 

  9. Smolders, J. M. H., Hol, A., Rijnders, T., & van Susante, J. L. C. (2010). Changes in bone mineral density in the proximal femur after hip resurfacing and uncemented total hip replacement: A prospective randomised controlled study. The Journal of Bone and Joint Surgery British, 92(11), 1509–1514.

    Google Scholar 

  10. Sumner, D. R. (2015). Long-term implant fixation and stress-shielding in total hip replacement. Journal of Biomechanics, 48(5), 787–800.

    Google Scholar 

  11. Affatato, S., Zanini, F., & Carmignato, S. (2017). Micro X-ray computed tomography mass loss assessment of different UHMWPE: a hip joint simulator study on standard vs. cross-linked polyethylene. PLoS ONE, 12(1), e0170263.

    Google Scholar 

  12. Annapaola, P., Stefano, F., Milena, F., & Saverio, A. (2016). Is micro-computed tomography useful for wear assessment of ceramic femoral heads? A preliminary evaluation of volume measurements. Journal of Applied Biomaterials & Fundamental Materials, 14(4), e483–e489.

    Google Scholar 

  13. Kassi, J.-P., Heller, M. O., Stoeckle, U., Perka, C., & Duda, G. N. (2005). Stair climbing is more critical than walking in pre-clinical assessment of primary stability in cementless THA in vitro. Journal of Biomechanics, 38(5), 1143–1154.

    Google Scholar 

  14. Rondon, A., Sariali, E., Vallet, Q., & Grimal, Q. (2017). Modal analysis for the assessment of cementless hip stem primary stability in preoperative THA planning. Medical Engineering & Physics, 49, 79–88.

    Google Scholar 

  15. Kim, S. Y., Park, S., Park, Y. S., et al. (2015). Primary stability evaluation of a hip-joint implant systems according to different surgical methods and bone densities under cyclic loading condition. International journal of Precision Engineering and Manufacturing, 16(6), 1094–1100.

    Google Scholar 

  16. Ehrlich, P. J., & Lanyon, L. E. (2002). Mechanical strain and bone cell function: A review introduction: The strain-adaptive response of bone. Osteoporosis International, 13, 688–700.

    Google Scholar 

  17. Liedert, A., Kaspar, D., Blakytny, R., Claes, L., & Ignatius, A. (2006). Signal transduction pathways involved in mechanotransduction in bone cells. Biochemical and Biophysical Research Communications, 349(1), 1–5.

    Google Scholar 

  18. Coelho, P. G., Rodrigues, H. C., & Fernandes, P. R. (2008). Bone tissue adaptation—A hierarchical approach for apparent density and trabecular structure. Journal of Biomechanics, 41(1), S125.

    Google Scholar 

  19. Fernandes, P. R., Folgado, J., Jacobs, C., & Pellegrini, V. (2002). A contact model with ingrowth control for bone remodelling around cementless stems. Journal of Biomechanics, 35(2), 167–176.

    Google Scholar 

  20. Huiskes, R. (2000). If bone is the answer, then what is the question? Journal of Anatomy, 197(2), 145–156.

    Google Scholar 

  21. McNamara, L. M., & Prendergast, P. J. (2007). Bone remodelling algorithms incorporating both strain and microdamage stimuli. Journal of Biomechanics, 40(6), 1381–1391.

    Google Scholar 

  22. Mullender, M. G., & Huiskes, R. (1995). Proposal for the regulatory mechanism of Wolff’s law. Journal of Orthopedic Research, 13(4), 503–512.

    Google Scholar 

  23. Smith, T. S., Martin, R. B., Hubbard, M., & Bay, B. K. (1997). Surface remodeling of trabecular bone using a tissue level model. Journal of Orthopaedic Research, 15(4), 593–600.

    Google Scholar 

  24. Weinkamer, R., Hartmann, M. A., Brechet, Y., & Fratzl, P. (2004). Stochastic lattice model for bone remodeling and aging. Physical Review Letters, 93, 228102.

    Google Scholar 

  25. Duchmin, L., Bousson, V., Raossanaly, C., Bergot, C., Laredo, J., Skalli, W., et al. (2008). Prediction of mechanical properties of cortical bone by quantitative computed tomography. Medical Engineering & Physics, 30, 321–328.

    Google Scholar 

  26. Beaupré, G. S., Orr, T. E., & Carter, D. R. (1990). An approach for time-dependent bone modeling-application: A preliminary remodeling simulation. Journal of Orthopaedic Research, 8(5), 662–670.

    Google Scholar 

  27. Adachi, T., Tomita, Y., Sakaue, H., & Tanaka, M. (1997). Simulation of trabecular surface remodeling based on local stress nonuniformity. JSME International Series C, 40(4), 782–792.

    Google Scholar 

  28. Tsubota, K., Suzuki, Y., Yamada, T., Hojo, M., Makinouchi, M., & Adachi, T. (2009). Computer simulation of trabecular remodeling in human proximal femur using large-scale voxel FE models: approach to understanding Wolff’s law. Journal of Biomechanics, 42, 1088–1094.

    Google Scholar 

  29. Adachi, T., Tsubota, K., Tomita, Y., & Hollister, S. J. (2001). Trabecular surface remodeling simulation for cancellous bone using microstructural voxel finite element models. Journal of Biomechanical Engineering, 123(5), 403.

    Google Scholar 

  30. Kwon, J., Naito, H., Matsumoto, T., & Tanaka, M. (2010). Simulation model of trabecular bone remodeling considering effects of osteocyte apoptosis and targeted remodeling. Journal of Biomechanical Science and Engineering, 5(5), 539–551.

    Google Scholar 

  31. Cowin, S. C., Moss-Salentijn, L., & Moss, M. L. (1991). Candidates for the mechanosensory system in bone. Journal of Biomechanical Engineering, 113, 191–197.

    Google Scholar 

  32. Bacabac, R. G., Van Loon, J. J. W. A., & Klein-Nulend, J. (2007). Microgravity and bone cell mechanosensitivity. Biology in Space and Life on Earth: Effects of Spaceflight on Biological Systems, 22(5), 157–177.

    Google Scholar 

  33. Kwon, J., Naito, H., Matsumoto, T., & Tanaka, M. (2010). Computational study on trabecular bone remodeling in human femur under reduced weight-bearing conditions. Journal of Biomechanical Science and Engineering, 5(5), 552–564.

    Google Scholar 

  34. Engh, C., McGovern, T., & Harris, W. (1992). A quantitative evaluation of periprosthetic bone-remodeling after cementless total hip arthroplasty. Journal of Bone and Joint Surgery, 74, 1009–1020.

    Google Scholar 

  35. Engh, C., Hooten, J., Jr., Zettl-Schaffer, K., Ghaffarpour, M., McGovern, T., Macalino, G., et al. (1994). Porous-coated total hip replacement. Clinical Orthopaedics and Related Research, 298, 89–96.

    Google Scholar 

  36. Herrera, A., Panisello, J. J., Ibarz, E., Cegoñino, J., Puértolas, J. A., & Gracia, L. (2007). Long-term study of bone remodelling after femoral stem: a comparison between dexa and finite element simulation. Journal of Biomechanics, 40(16), 3615–3625.

    Google Scholar 

  37. Viceconti, M., Lattanzi, R., Antonietti, B., Paderni, S., Olmi, R., Sudanese, A., et al. (2003). CT-based surgical planning software improves the accuracy of total hip replacement preoperative planning. Medical Engineering & Physics, 25(5), 371–377.

    Google Scholar 

  38. Pancanti, A., Bernakiewicz, M., & Viceconti, M. (2003). The primary stability of a cementless stem varies between subjects as much as between activities. Journal of Biomechanics, 36(6), 777–785.

    Google Scholar 

  39. Otomaru, I., Nakamoto, M., Takao, M., Sugano, N., Kagiyama, Y., Yoshikawa, H., et al. (2008). Automated preoperative planning of femoral component for total hip arthroplasty (THA) from 3D CT images. Journal of Biomechanical Science and Engineering, 3(4), 478–489.

    Google Scholar 

  40. Alessandro, R., Roberto, D., & Saverio, A. (2019). Comparison of meshing strategies in THR finite element modelling. Materials, 12, 2332.

    Google Scholar 

  41. Ruggiero, A., Merola, M., & Affatato, S. (2018). Finite element simulations of hard-on-soft hip joint prosthesis accounting for dynamic loads calculated from a musculoskeletal model during walking. Materials, 11, 574.

    Google Scholar 

  42. Alejandro, D., Douglas, P., & Eduardo, S. (2005). Preoperative planning for primary total hip arthroplasty. Journal of the American Academy of Orthopaedic Surgeons, 13(7), 455–462.

    Google Scholar 

  43. Heather, P., Maria, I., Anshuman, S., Robert, N., & Elizabeth, P. (2019). Preoperative risk factors for opioid utilization after total hip arthroplasty. The Journal of Bone and Joint Surgery, 101(18), 1670–1678.

    Google Scholar 

  44. Boisgard, S., Descamps, S., & Bouillet, B. (2013). Complex primary total hip arthroplasty. Orthopaedics & Traumatology: Surgery & Research, 99(1), S34–S42.

    Google Scholar 

Download references

Acknowledgements

This research was supported by the training program for advanced medical device industry professional manpower of Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health and Welfare, Republic of Korea. The authors would like to thank Prof. Yoshinobu Sato, Dr. Masaki Takao and Ph.D. Itaru Otomaru at Medical School of Osaka University for providing the preoperative planning CT-image data.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ji Yean Kwon.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kwon, J.Y., Kim, S.M. & Tanaka, M. Evaluation of Mechanical Adaptation on Preoperative Planning for Total Hip Arthroplasty. Int. J. Precis. Eng. Manuf. 21, 1975–1983 (2020). https://doi.org/10.1007/s12541-020-00390-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-020-00390-0

Keywords

Navigation