About this trial
Scoliosis is a three-dimensional deformity affecting the orientation and position of the spine. Locally, the shape of the vertebra is also affected. The most common form is adolescent idiopathic scoliosis (AIS) with a prevalence of 1-3% affecting primarily young adolescent females. AIS can either be treated using a brace and in some cases necessitate surgical correction to prevent progressive deformity. Risk factors for progression include female gender, curve magnitude and location, skeletal maturity and growth velocity. However, these risk factors have been shown to be inconsistent in predicting curve progression. Over the past 6 years, the investigators have developed a predictive model of the final Cobb angle in AIS based on 3D spinal parameters. This analysis was based on a prospective cohort of 195 patients that were enrolled upon their initial visit and followed until maturity. This predictive model has a determination coefficient of 0.702. The proposed new study aims at refining and testing the external validity of this model in a larger cohort. The next step towards using the new model in the clinical setting is to redesign the model and to externally validate the model by measuring the agreement between the new method and the traditional Cobb angle at maturity in a larger multicenter study. The objective of this study is to characterize the risk of scoliosis progression based on local three-dimensional vertebral and pelvic measurements present on initial evaluation. Three-dimensional reconstructions will be derived from stereo-radiographs acquired with a new biplanar low-dose radiographic system installed in all 8 clinical sites (EOS system, EOS-Imaging, Paris). These calibrated radiographs will then be used to reconstruct the vertebrae and intervertebral disks at each level as well as the geometry of the pelvis. A series of local and regional parameters will then be calculated from these 3D reconstructions. Correlation analysis will help determine if intervertebral disk wedging, vertebral wedging, transverse plane rotation or pelvic geometry can be used as early predictors of curve progression in AIS.
Identifying a new 3D measure of scoliosis associated with rapid curve progression could help predict which curves need early treatment to prevent further progression. The ultimate goal of this research project will be to validate this new predictive model and finally transfer this new predictive tool in the hands of clinicians treating AIS.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Idiopathic Scoliosis (as diagnosed by the surgeon)
Patients above 10 year old at the time of recruitment
Spina bifida occulta with no neurological signs and otherwise normal
Curves ranging between 11º and 40º of Cobb angle measurement and
Disqualifiers
Previous thoracic, pelvis or spine surgery as they may be co-factors in scoliosis initiation,
Congenital scoliosis,
MRI abnormalities (including > 4mm of Syrinx and/or Chiari malformation)
Syndromic scoliosis (associated with Marfan's or other genetic syndromes),
Trial population
A total of 1200 patients will be recruited from the scoliosis clinic at eight (8) tertiary care facilities located around the world. All consecutive patients seen at these clinics will be screened for the presence of scoliosis first by clinical examination and followed by radiographic confirmation using the EOS™ system.
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Change in scoliosis severity based on the 3D reconstruction of the spine at the initial visit and follow ups in a large multicenter prospective study
The main objective of this study is to validate a predictive model for determining scoliosis severity based on the 3D reconstruction of the spine at the initial visit in a large multicenter prospective study. This objective can be divided in two specific objectives: Objective 1: to improve the determination coefficient of the predictive model by including new findings of a subset of this prospective cohort of patients. Objective 2: to test the external validity of the predictive model
Sponsors and contacts
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St. Justine's Hospital
Lead sponsor
Queen Mary Hospital, Hong Kong
Collaborator
The Meijo Hospital, Nagoya, Japan
Collaborator
National University of Singapore
Collaborator
Hopital Universitaire Robert-Debre
Collaborator
Alfred I. duPont Hospital for Children
Collaborator
Nicklaus Children's Hospital f/k/a Miami Children's Hospital
Collaborator
Rady Children's Hospital, San Diego
Collaborator