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Biomechanical Simulation of Stresses and Strains Exerted on the Spinal Cord and Nerves During Scoliosis Correction Maneuvers

  • Biomechanics
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Abstract

Study Design

Biomechanical analysis of the spinal cord and nerves during scoliosis correction maneuvers through numerical simulations.

Objective

To assess the biomechanical effects of scoliosis correction maneuvers and stresses generated on the spinal nervous structures.

Background Data

Important forces are applied during scoliosis correction surgery, which could potentially lead to neurologic complications due to stresses exerted on the nervous structures. The biomechanical impact of the different types of stresses applied on the nervous structures during correction maneuvers is not well understood.

Methods

Three correction techniques were simulated using a hybrid computer modeling approach, personalized to a right thoracic adolescent idiopathic scoliotic case (Cobb angle: 63°): (1) Harrington-type distraction; (2) segmental translation technique; and a (3) segmental rotation—based procedure. A multibody model was used to simulate the kinematics of the instrumentation maneuvers; a second comprehensive finite element model was used to analyze the local stresses and strains on the spinal cord and nerves. Average values of the internal medullar pressure (IMP), shear stresses, nerve compression, and strain were computed over three regions and compared between techniques.

Results

Harrington distraction maneuver generated high stresses and strains over the thoracolumbar region. In the main thoracic region, the segmental translation maneuver technique induced 15% more shear stress, 25% more strain, and 62% lower nerve compression than Harrington distraction maneuver. The segmental rotation—based procedure induced 25% lower shear stresses and 18% more strain, respectively, at the apical level, as well as 72%, 57%, and 7% lower IMP, nerve compression, and strain in the upper thoracic region, compared with Harrington distraction maneuver.

Conclusion

This study quantified the relative stress induced on the spinal cord and spinal nerves for different correction maneuvers using a novel hybrid patient-specific model. Of the three maneuvers studied, the Harrington distraction maneuver induced the most important stresses over the thoracolumbar region.

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References

  1. Cavali PTM. Overview of surgical techniques and implants. In: Manual of spine surgery. Berlin: Springer; 2012. p. 225–30.

    Chapter  Google Scholar 

  2. Hawes M. Impact of spine surgery on signs and symptoms of spinal deformity. Dev Neurorehabil 2006;9:318–39.

    Google Scholar 

  3. Harrington PR. Treatment of scoliosis correction and internal fixation by spine instrumentation. J Bone Joint Surg 1962;44:591–634.

    Article  PubMed  Google Scholar 

  4. MacEwen GD, Bunnell W, Sriram K. Acute neurological complications in the treatment of scoliosis. J Bone Joint Surg Am 1975;57:404–8.

    Article  CAS  PubMed  Google Scholar 

  5. Farcy JPC, Schwab FJ. Management of flatback and related kyphotic decompensation syndromes. Spine 1997;22:2452–7.

    Article  CAS  PubMed  Google Scholar 

  6. Delorme S, Labelle H, Aubin CE, et al. Intraoperative comparison of two instrumentation techniques for the correction of adolescent idiopathic scoliosis: rod rotation and translation. Spine 2000;25:77S–83S.

    Article  Google Scholar 

  7. Cotrel Y, Dubousset J, Guillaumat M. New universal instrumentation in spinal surgery. Clin Orthop Relat Res 1988;227:10–23.

    CAS  PubMed  Google Scholar 

  8. Mohan AL, Das K. History of surgery for the correction of spinal deformity. Neurosurg Focus 2003;14:1–5.

    Article  Google Scholar 

  9. Wang X, Aubin CE, Labelle H, et al. Biomechanical analysis of corrective forces in spinal instrumentation for scoliosis treatment. Spine 2012;37:E1479–87.

    Article  PubMed  Google Scholar 

  10. Miguel FRJ, Marcelino LC. Complications in scoliosis surgery. In: Recent advances in scoliosis. Rijeka, Croatia: InTech; 2012. p. 263–78.

    Google Scholar 

  11. Harrison DE, Cailliet R, Harrison DD, et al. A review of biomechanics of the central nervous system–part II: spinal cord strains from postural loads. J Manipulative Physiol Ther 1999;22:322–32.

    Article  CAS  PubMed  Google Scholar 

  12. Harrison DE, Cailliet R, Harrison DD, et al. A review of biomechanics of the central nervous system–part III: spinal cord stresses from postural loads and their neurologic effects. J Manipulative Physiol Ther 1999;22:399–410.

    Article  CAS  PubMed  Google Scholar 

  13. Fujioka H, Shimoji K. Spine surgery: scoliosis surgery. In: Evoked spinal cord potentials. Tokyo: Springer; 2006. p. 137–40.

    Chapter  Google Scholar 

  14. Persson C, Summers JL, Hall RM. Modelling of spinal cord biomechanics: in vitro and computational approaches. In: Neural tissue biomechanics. Berlin: Springer; 2011. p. 181–201.

    Google Scholar 

  15. Jarzem PF, Quance DR, Doyle DJ, et al. Spinal cord tissue pressure during spinal cord distraction in dogs. Spine 1992;17:227–34.

    Article  Google Scholar 

  16. Owen JH, Laschinger J, Bridwell K, et al. Sensitivity and specificity of somatosensory and neurogenic-motor evoked potentials in animals and humans. Spine 1988;13:1111–8.

    Article  CAS  PubMed  Google Scholar 

  17. Rydevik BL, Pedowitz RA, Hargens AR, et al. Effects of acute, graded compression on spinal nerve root function and structure: an experimental study of the pig cauda equina. Spine 1991;16:487–93.

    Article  CAS  PubMed  Google Scholar 

  18. Greaves CY, Gadala MS, Oxland TR. A three-dimensional finite element model of the cervical spine with spinal cord: an investigation of three injury mechanisms. Ann Biomed Eng 2008;36:396–405.

    Article  PubMed  Google Scholar 

  19. Li XF, Dai LY. Acute central cord syndrome: injury mechanisms and stress features. Spine 2010;35:E955–64.

    Article  PubMed  Google Scholar 

  20. Fradet L. Étude Biomécanique des traumatismes vertébromédullaires du rachis humain. École de Technologie Supérieure de Montreal - Université Aix-Marseille; 2014. p. 202.

  21. Kim HJ, Chun HJ, Kang KT, et al. A validated finite element analysis of nerve root stress in degenerative lumbar scoliosis. Med Biol Eng Comput 2009;47:599–605.

    Article  PubMed  Google Scholar 

  22. El-Rich M, Arnoux PJ, Wagnac E, et al. Finite element investigation of the loading rate effect on the spinal load-sharing changes under impact conditions. J Biomech 2009;42:1252–62.

    Article  PubMed  Google Scholar 

  23. Wagnac E, Arnoux PJ, Garo A, et al. Calibration of hyperelastic material properties of the human lumbar intervertebral disc under fast dynamic compressive loads. J Biomed Eng 2011;133:101007.

    Google Scholar 

  24. Wagnac E, Arnoux PJ, Garo A, Aubin CE. Finite element analysis of the influence of loading rate on a model of the full lumbar spine under dynamic loading conditions. Med Biol Eng Comput 2012;50:903–15.

    Article  PubMed  Google Scholar 

  25. Kameyama T, Hashizume Y, Ando T, Takahashi A. Morphometry of the normal cadaveric cervical spinal cord. Spine 1994;19:2077–81.

    Article  CAS  PubMed  Google Scholar 

  26. Garo A, Arnoux P-J, Aubin C-E. Estimation of bone material properties using an inverse finite element method. Comput Methods Biomech Biomed Eng 2009;12:121–2.

    Article  Google Scholar 

  27. Ichihara K, Taguchi T, Shimada Y, et al. Gray matter of the bovine cervical spinal cord is mechanically more rigid and fragile than the white matter. J Neurotrauma 2001;18:361–7.

    Article  CAS  PubMed  Google Scholar 

  28. Tunturi AR. Elasticity of the spinal cord, pia, and denticulate ligament in the dog. Neurosurg 1978;48:975–9.

    Article  CAS  Google Scholar 

  29. Wilcox RK, Bilston LE, Barton DC, Hall RM. Mathematical model for the viscoelastic properties of dura mater. J Orthop Sci 2003;8:432–4.

    Article  PubMed  Google Scholar 

  30. Kulkarni VA, Massie JB, Zauner F, et al. Novel biomechanical quantification methodology for lumbar intraforaminal spinal nerve adhesion in a laminectomy and disc injury rat model. Neurosci Methods 2007;166:20–3.

    Article  Google Scholar 

  31. Dubousset J, Charpak G, Skalli W, et al. EOS: a new imaging system with low dose radiation in standing position for spine and bone & joint disorders. J Musculoskelet Res 2010;13:1–12.

    Article  Google Scholar 

  32. Delorme S, Petit Y, de Guise JA, et al. Assessment of the 3-D reconstruction and high-resolution geometrical modeling of the human skeletal trunk from 2-D radiographic images. IEEE Trans Biomed Eng 2003;50:989–98.

    Article  CAS  PubMed  Google Scholar 

  33. Smorgick Y, Settecerri JJ, Baker KC, et al. Spinal cord position in adolescent idiopathic scoliosis. J Pediatr Orthop 2012;32:500–3.

    Article  PubMed  Google Scholar 

  34. Aubin CE, Labelle H, Chevrefils C, et al. Preoperative planning simulator for spinal deformity surgeries. Spine 2008;33:2143–52.

    Article  CAS  PubMed  Google Scholar 

  35. Petit Y, Aubin C, Labelle H. Patient-specific mechanical properties of a flexible multi-body model of the scoliotic spine. Med Biol Eng Comput 2004;42:55–60.

    Article  CAS  PubMed  Google Scholar 

  36. Henao J, Aubin CE, Labelle H, et al. Patient-specific finite element model of the spine and spinal cord to assess the neurological impact of scoliosis correction: preliminary application on two cases with and without intraoperative neurological complications. Comput Methods Biomech Biomed Eng 2016;19:901–10.

    Article  Google Scholar 

  37. Rossi L, Bianchi AM, Merzagora A, et al. Single trial somatosensory evoked potential extraction with ARX filtering for a combined spinal cord intraoperative neuromonitoring technique. Biomed Eng Online 2007;6:2.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Sakaki K, Kawabata S, Ukegawa D, et al. Warning thresholds on the basis of origin of amplitude changes in transcranial electrical motor-evoked potential monitoring for cervical compression myelopathy. Spine 2012;37:E913–21.

    Article  PubMed  Google Scholar 

Download references

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Carl-Éric Aubin PhD, PEng.

Additional information

Author disclosures

JH (grants from Natural Sciences and Engineering Research Council of Canada, grants from Institut Français des Sciences et Technologies des Transports, de l’Aménagement et des Réseaux [IFSTTAR], grants from Aix-Marseille University Foundation AMIDEX, during the conduct of the study); HL (other from Spinologics Inc., grants from DePuy Synthes, other from Scoliosis Research Society, grants from Canadian Institutes of Health Research [CIHR], outside the submitted work); PJA (grants from Institut Français des Sicences et Technologies des Transports, de l’Aménagement et des Réseaux [IFSTTAR], grants from Aix-Marseille Foundation AMIDEX, during the conduct of the study); CÉA (grants from Orthopedic Research and Education Foundation, grants from Natural Sciences and Engineering Research Council of Canada [Discovery Grant & Industrial Research Chair with Medtronic of Canada], during the conduct of the study; grants from Medtronic, other from Medtronic, outside the submitted work).

Disclosure

The authors receive a research grant from the NSERC-industrial research chair program with Medtronic of Canada for the realization of this study.

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Henao, J., Labelle, H., Arnoux, PJ. et al. Biomechanical Simulation of Stresses and Strains Exerted on the Spinal Cord and Nerves During Scoliosis Correction Maneuvers. Spine Deform 6, 12–19 (2018). https://doi.org/10.1016/j.jspd.2017.04.008

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  • DOI: https://doi.org/10.1016/j.jspd.2017.04.008

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