Differences between different posterior stabilization at atlanto-axial joint

G. L. Chang*, J. H. Chang, C. H. Change, E. J. Lee, A. T. Hsu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Trauma and disorders are the major cause of spinal cord injuries at the Cl-C level, which have resulted in complete or incomplete loss of sensory and motor functions. More and more accidents occur, which spend a lot of money in surgical treatment and rehabilitation. Conservative thepray or surfical treatment with internal fixation devices has been commonly used to stabilize the spine and enhance spine fusion for minimized compression in spinal cord leading to neurological deficits and other secondary injuries. The purpose of this research was to investigate the effect of various internal fixation devices for improving rotation stiffness of unstable atlanto-axial joint using a canine model. The results indicated that posterolateral plating provided the optimal stiffness across C1-2 in all the 6 tested directions than did the other 2 techniques although both the latter also had significantly increased stiffness compared to control group (P<0.05). Also, the results supported the use of each tested stabilization techniques for fixing the atlanto-axial instability. For preserving the optimal C1-2 motibility, procedures such as posterior wiring and/or Halifax interlaminar clamping rather than posterolateral plating and screwing should be considered first.

Original languageEnglish
Pages (from-to)1523
Number of pages1
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Publication statusPublished - 2001
Externally publishedYes
Event23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey
Duration: 2001 Oct 252001 Oct 28


  • Atlanto-axial joint
  • Posterior stabilization

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics


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