NCT02434003

Brief Summary

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.

Trial Health

83
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,200

participants targeted

Target at P75+ for all trials

Timeline
19mo left

Started May 2014

Longer than P75 for all trials

Geographic Reach
6 countries

9 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress88%
May 2014Dec 2027

Study Start

First participant enrolled

May 1, 2014

Completed
12 months until next milestone

First Submitted

Initial submission to the registry

April 18, 2015

Completed
17 days until next milestone

First Posted

Study publicly available on registry

May 5, 2015

Completed
12.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2027

Last Updated

April 17, 2024

Status Verified

April 1, 2024

Enrollment Period

13.6 years

First QC Date

April 18, 2015

Last Update Submit

April 16, 2024

Conditions

Keywords

3D reconstructionAISComputer modelsSpinal Deformity

Outcome Measures

Primary Outcomes (1)

  • 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

    Baseline, 6 months, 12 months, 18 months, 24 months

Eligibility Criteria

Age10 Years - 15 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17)
Sampling MethodNon-Probability Sample
Study 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.

You may qualify if:

  • 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
  • Risser 0 or 1, as measured on a standing postero-anterior digital radiograph of the spine.
  • All single thoracic, thoraco-lumbar, lumbar, double major and triple major curves will be included in the study.

You may not qualify if:

  • 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),
  • Neuromuscular scoliosis,
  • Developmental delay
  • Spinal asymmetry
  • Symptomatic spondylolisthesis
  • Leg length discrepancy longer than 1 cm.
  • Unable or unwilling to firmly commit to returning for required follow-up visits

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (9)

Rady Children's Hospital

San Diego, California, 92123, United States

RECRUITING

Alfred I. duPont Hospital for Children

Wilmington, Delaware, 19803, United States

NOT YET RECRUITING

Miami Children's Hospital

Miami, Florida, 33155, United States

NOT YET RECRUITING

Mayo Clinic

Minneota, Minnesota, MN 55902, United States

NOT YET RECRUITING

St Justine's Hospital

Montreal, Quebec, H3T 1C4, Canada

RECRUITING

Robert Debré Hospital

Paris, 75019, France

NOT YET RECRUITING

Queen Mary Hospital

Hong Kong, Hong Kong

RECRUITING

The Meijo Hospital

Nagoya, Japan

RECRUITING

National University

Singapore, Singapore

NOT YET RECRUITING

MeSH Terms

Conditions

Scoliosis

Condition Hierarchy (Ancestors)

Spinal CurvaturesSpinal DiseasesBone DiseasesMusculoskeletal Diseases

Study Officials

  • Stefan Parent, MD, PhD

    St. Justine's Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Stefan Parent, MD, PhD

CONTACT

Marjolaine Roy-Beaudry

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Orthopaedic surgeon

Study Record Dates

First Submitted

April 18, 2015

First Posted

May 5, 2015

Study Start

May 1, 2014

Primary Completion (Estimated)

December 1, 2027

Study Completion (Estimated)

December 1, 2027

Last Updated

April 17, 2024

Record last verified: 2024-04

Locations