Abstract
Current complication rates for adolescent spinal deformity surgery are unacceptably high and in order to improve patient outcomes, the development of a simulation tool which enables the surgical strategy for an individual patient to be optimized is necessary. In this chapter we will present our work to date in developing and validating patient-specific modeling techniques to simulate and predict patient outcomes for surgery to correct adolescent scoliosis deformity. While these simulation tools are currently being developed to simulate adolescent idiopathic scoliosis patients, they will have broader application in simulating spinal disorders and optimizing surgical planning for other types of spine surgery. Our studies to date have highlighted the need for not only patient-specific anatomical data, but also patient-specific tissue parameters and biomechanical loading data, in order to accurately predict the physiological behaviour of the spine. Even so, patient-specific computational models are the state-of-the-art in computational biomechanics and offer much potential as a pre-operative surgical planning tool.
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Notes
- 1.
The region of the spine with an intrinsic lateral curvature rather than a deformity related to a functional imbalance of the spinal soft tissues. The structural curve includes vertebrae which are within the extents of the spinal deformity measured by the Cobb angle.
- 2.
The apex of the scoliotic curve is the most laterally deviated vertebra on a frontal radiograph.
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Little, J.P., Adam, C.J. (2011). Patient-Specific Modeling of Scoliosis. In: Gefen, A. (eds) Patient-Specific Modeling in Tomorrow's Medicine. Studies in Mechanobiology, Tissue Engineering and Biomaterials, vol 09. Springer, Berlin, Heidelberg. https://doi.org/10.1007/8415_2011_97
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DOI: https://doi.org/10.1007/8415_2011_97
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