Patient-Specific Modeling of Scoliosis

Little, J. Paige & Adam, Clayton J. (2012) Patient-Specific Modeling of Scoliosis. In Gefen, Amit (Ed.) Patient-Specific Modeling in Tomorrow's Medicine. Springer Verlag, Berlin, pp. 103-131.

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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 applications 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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ID Code: 48151
Item Type: Book Chapter
Keywords: adolescent idiopathic scoliosis, scoliosis, patient-specific spine model, finite element analysis (FEA), scoliosis correction surgery, surgical planning, AIS
DOI: 10.1007/8415_2011_97
ISBN: 9783642246173
ISSN: 1868-2006
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > CLINICAL SCIENCES (110300) > Orthopaedics (110314)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 Springer-Verlag Berlin Heidelberg
Deposited On: 19 Jan 2012 23:37
Last Modified: 05 May 2014 20:42

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