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Erschienen in: Medical & Biological Engineering & Computing 2/2012

01.02.2012 | Original Article

Towards determining soft tissue properties for modelling spine surgery: current progress and challenges

verfasst von: J. Paige Little, Clayton Adam

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 2/2012

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Abstract

Current complication rates for adolescent scoliosis surgery necessitate the development of better surgical planning tools to improve outcomes. Here we present our approach to developing finite element models of the thoracolumbar spine for deformity surgery simulation, with patient-specific model anatomy based on low-dose pre-operative computed tomography scans. In a first step towards defining patient-specific tissue properties, an initial ‘benchmark’ set of properties were used to simulate a clinically performed pre-operative spinal flexibility assessment, the fulcrum bending radiograph. Clinical data for ten patients were compared with the simulated results for this assessment and in cases where these data differed by more than 10%, soft tissue properties for the costo-vertebral joint (CVJt) were altered to achieve better agreement. Results from these analyses showed that changing the CVJt stiffness resulted in acceptable agreement between clinical and simulated flexibility in two of the six cases. In light of these results and those of our previous studies in this area, it is suggested that spinal flexibility in the fulcrum bending test is not governed by any single soft tissue structure acting in isolation. More detailed biomechanical characterisation of the fulcrum bending test is required to provide better data for determination of patient-specific soft tissue properties.

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Metadaten
Titel
Towards determining soft tissue properties for modelling spine surgery: current progress and challenges
verfasst von
J. Paige Little
Clayton Adam
Publikationsdatum
01.02.2012
Verlag
Springer-Verlag
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 2/2012
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-011-0848-6

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