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Formulating a Pedicle Screw Fastening Strength Surrogate via Patient-Specific Virtual Templating and Planning

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Bio-Imaging and Visualization for Patient-Customized Simulations

Abstract

Traditional 2D images provide limited use for accurate planning of spine interventions, mainly due to the complex 3D anatomy of the and spine, and close proximity of nerve bundles and vascular structures that must be avoided during the procedure. Our clinician-friendly platform for spine surgery planning takes advantage of 3D pre-operative images, to enable oblique reformatting and 3D rendering of individual or multiple vertebrae, interactive templating and placement of virtual pedicle implants, and provide surrogate estimates of the “fastening strength” of implanted pedicle screws based on implant dimension and bone mineral density of the displaced bone substrate. Preliminary studies using retrospective clinical data have demonstrated the feasibility of the platform in assisting the surgeon with selection of appropriate size implant and trajectory that provides optimal “fastening strength”, given the intrinsic vertebral geometry and bone mineral density.

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Acknowledgments

The authors would like to thank all members of the Biomedical Imaging Resource who have helped with the development and implementation of this project, especially Alan Larson, Bruce Cameron, Phillip Edwards, and Dennis Hanson. Also, we would like to acknowledge our clinical collaborators for their continuous support: Dr. Jonathan Morris, Dr. Jane Matsumoto, and Dr. Shyam Shridharani.

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Correspondence to Cristian A. Linte .

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© 2014 Springer International Publishing Switzerland

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Linte, C.A. et al. (2014). Formulating a Pedicle Screw Fastening Strength Surrogate via Patient-Specific Virtual Templating and Planning. In: Tavares, J., Luo, X., Li, S. (eds) Bio-Imaging and Visualization for Patient-Customized Simulations. Lecture Notes in Computational Vision and Biomechanics, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-03590-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-03590-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03589-5

  • Online ISBN: 978-3-319-03590-1

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