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The use of statistical modelling to identify important parameters for the shape of the torso following surgery for adolescent idiopathic scoliosis.
- Source :
-
Journal of anatomy [J Anat] 2021 Sep; Vol. 239 (3), pp. 602-610. Date of Electronic Publication: 2021 May 15. - Publication Year :
- 2021
-
Abstract
- The surgical strategy in adolescent idiopathic scoliosis (AIS) aims to recreate the symmetry of the torso. This requires the minimisation of both the size of the scoliosis and the angulation between the sides of the torso, along with the recreation of a normal thoracic kyphosis. This study uses predictive modelling to identify the significance of the value of the pre-operative parameters, and the change in the magnitude of the parameters as a result of an operation on the shape of the torso using the 'most prominent points'; two areas of maximum prominence on either side of the spine with x, y and z coordinates. The pre-operative values, and the change in magnitude between the pre and post-operative values, for scoliosis, kyphosis and skin angulation from a group of Lenke 1 convex to the right AIS were analysed with measures collected using Integrated Spine Imaging System 2 surface topography and compared with those without visible spinal deformity. The models best explained the z coordinate and least well explained the x coordinate, although there was a contribution to all of the models that remained unexplained. The parameters that affected the position of the coordinates in the model differed between the models. This confirms that surgically altering the shape of the spine and torso whilst correcting an AIS does not lead to a symmetrical torso. There are as yet, undefined factors which contribute to the shape of the torso and which if identified and corrected surgically would lead to greater symmetry post-operatively.<br /> (© 2021 Anatomical Society.)
Details
- Language :
- English
- ISSN :
- 1469-7580
- Volume :
- 239
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of anatomy
- Publication Type :
- Academic Journal
- Accession number :
- 33991430
- Full Text :
- https://doi.org/10.1111/joa.13454