The Vertebral Vector in a Horizontal Plane. A Simple Way to See in 3D.

NCT ID: NCT03418987

Last Updated: 2025-02-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-03-20

Study Completion Date

2024-11-12

Brief Summary

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The diagnosis and classification of scoliosis are almost exclusively based on frontal and lateral radiographs. Current classifications of adolescent or adult idiopathic degenerative scoliosis are based only on the 2D approach. The classifications consider only the lateral deviation and the sagittal alignment and completely ignore all the changes (the axial vertebral rotation and the lateral translation etc ...) in the horizontal plane.

The demand for an accurate assessment of the vertebral rotation in scoliosis is not new. Biplane x-ray images provide insufficient quantitative or qualitative information on the anatomical landmarks needed to determine axial rotation. Several measurement methods have been published, all of which are based on the evaluation of the relative positions of various posterior vertebral elements. The Perdriolle torsiometer is currently the most accepted method in clinical practice, but its reproducibility is very limited and can not be quantified accurately.The horizontal plane deviations are more accurately evaluated by the CT scan, but the systematic use of this method is limited because of its relatively high cost and excessive radiation dose. Expert opinion is also divided on the veracity and reproducibility of CT scan for such measurements.

Given the absence of a definitive and reproducible measurement method for 3D characterization of the vertebral columnar deformities, the investigators introduced the concept and system of vertebral vectors.The vertebral vector technique is currently the only technique in the world that allows the visualization of vertebral column deformities by analyzing each vertebral body and defining characteristic mathematical and geometric parameters that uniquely characterize each vertebrae. A new digital radioimaging technique based on a low dose X-ray detection technology simultaneously creates frontal and lateral whole body radiographic images captured in a standing position, which is the basis of visualization of the vertebral vector.

To examine the two phenotypes of scoliosis, it is necessary to collect the radiological data specific to the disease. After generating the vertebral vectors and obtaining the three-dimensional coordinates, an analysis and an exact mathematical description will be performed. The projections of the curves in the three planes will also be analyzed, with particular attention to the projections in the horizontal planes. Based on the mathematical models and the axial projection of the curves, a new three-dimensional classification can be imagined for the first time not only for adolescent scoliosis, but also for adult degenerative scoliosis.

The main objective of this study is to develop new evidence-based treatments based on the unambiguous understanding of 3D features of vertebral columnar deformities.

Detailed Description

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Conditions

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Scoliosis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Deformities of the spinal column

Patients with adolescent idiopathic scoliosis or adult degenerative scoliosis, treated or untreated.

Medical File data analysis

Intervention Type OTHER

Analysis of the 2D/3D spine images (performed with the sterEOS software and the MATLAB software)

Interventions

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Medical File data analysis

Analysis of the 2D/3D spine images (performed with the sterEOS software and the MATLAB software)

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

Patients with adolescent idiopathic scoliosis or adult degenerative scoliosis, treated or untreated, radiographed with the EOS system

Exclusion Criteria

None
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Tamas Illes

OTHER

Sponsor Role lead

Responsible Party

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Tamas Illes

Head of clinic

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Tamas ILLES, MD

Role: PRINCIPAL_INVESTIGATOR

CHU Brugmann

Locations

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CHU Brugmann

Brussels, , Belgium

Site Status

Countries

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Belgium

Other Identifiers

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CHUB - 3D spine

Identifier Type: -

Identifier Source: org_study_id

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