title: Statistical model based 3D shape prediction of postoperative trunks for non-invasive scoliosis surgery planning.
abstract: One of the major concerns of scoliosis patients undergoing surgical treatment is the aesthetic aspect of the surgery outcome. It would be useful to predict the postoperative appearance of the patient trunk in the course of a surgery planning process in order to take into account the expectations of the patient. In this paper, we propose to use least squares support vector regression for the prediction of the postoperative trunk 3D shape after spine surgery for adolescent idiopathic scoliosis. Five dimensionality reduction techniques used in conjunction with the support vector machine are compared. The methods are evaluated in terms of their accuracy, based on the leave-one-out cross-validation performed on a database of 141 cases. The results indicate that the 3D shape predictions using a dimensionality reduction obtained by simultaneous decomposition of the predictors and response variables have the best accuracy.
authors.affiliation: École Polytechnique de Montréal, P.O. Box 6097, Succursale Centre-ville, Montréal, Québec, Canada H3C 3A7; Sainte-Justine Hospital Research Center, 3175 Côte-Sainte-Catherine, Montréal, Québec, Canada H3T 1C5. Electronic address: kondo-claude.assi@polymtl.ca.
authors.forename: K C
authors.initials: KC
authors.lastname: Assi
authors.affiliation: Sainte-Justine Hospital Research Center, 3175 Côte-Sainte-Catherine, Montréal, Québec, Canada H3T 1C5.
authors.forename: H
authors.initials: H
authors.lastname: Labelle
authors.affiliation: École Polytechnique de Montréal, P.O. Box 6097, Succursale Centre-ville, Montréal, Québec, Canada H3C 3A7; Sainte-Justine Hospital Research Center, 3175 Côte-Sainte-Catherine, Montréal, Québec, Canada H3T 1C5.
authors.forename: F
authors.initials: F
authors.lastname: Cheriet
mesh_terms: D000293:Adolescent; D002648:Child; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015233:Models, Statistical; D012600:Scoliosis / Q000601:surgery*; D025321:Surgery, Computer-Assisted / Q000379:methods*; D060726:Torso / Q000033:anatomy & histology / Q000473:pathology*; D016896:Treatment Outcome
keywords: Orthopaedic treatment; Scoliosis; Shape prediction; Statistical model; Support vector regression