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.
By identifying the patients for whom the model predicts a significant progression the investigators could focus their efforts on being more pro-active towards brace wear for those at risk of progression. With the advent of new growth modulation techniques, these patients could also potentially receive early management of their curves to prevent further progression and diminish the need for surgical correction and fusion of their curve. Alternatively, by identifying the patients that will not progress immediately at the first visit, the investigators could arguably decrease their number needed to treat from 4 to 2 by removing those patients that won't progress no matter what their treatment is. So, the prediction model will not only have an impact for the patients at risk of progression but will also impact those that are braced despite having a low risk of progression.
Patient enrollment:
Patients who meet the inclusion criteria will be offered enrollment in the project. If the family wishes to enroll in the project, the informed consent process will be undertaken and the patient will be enrolled.
If Patients need to be treated with brace No changes in the usual treatment and monitoring will be instituted. Therefore, patients will be allowed to undergo brace treatment. The investigators are aware that brace treatment could have an impact on curve progression but these patients are still included as progression despite brace treatment may give meaningful information regarding these difficult-to-treat curves. Patient under brace treatment will have to remove brace at least the night before their appointment and follow-up spine radiographs. Also the protocol requires that patients have at least one spine radiograph out of brace every 12 months. Bracing compliance will be evaluated as a specific covariable in the upcoming study. To better understand the impact of bracing on progression, the investigators will be using brace monitors, pressure sensitive transducers that can monitor brace wear and brace effectiveness, in their multicenter study and use the data generated by these monitors as a co-factor in an improved prediction model.
If patients need to have surgery Although patients showing sufficient curve progression to undergo surgical correction will not be kept in the prospective cohort after surgery, their data will still be analyzed to assess the correlation between local 3-D measurements and curve progression.
-Data collection
Data collected at first visit will include:
The pelvis will be reconstructed in 3-D for all normal and AIS subjects using a combination of the Non-Stereo Corresponding Points (NSCP) and Non-Stereo Corresponding Contours (NSCC) methods, which were successfully by the investigator's team to reconstruct the spine in 3D. Preliminary evaluation of the technique gave an overall accuracy of 1,6 mm, which is adequate for the calculation of clinical geometric indices of the pelvis. Four steps are required with this 3D reconstruction technique:
The calculated parameters were divided into six categories. Each category refers to global (whole spine), regional (scoliotic segment) and local (vertebra) descriptors. Vertebra centroid is understood as the halfway point between the centers of the two endplates of the vertebra. The local vertebra axis system is defined by the Scoliosis Research Society (SRS) 3D terminology group: the origin is at the centroid of the vertebral body, the local 'z' axis passes through the centers of the upper and lower endplates, and 'y' axis is parallel to a line joining similar landmarks on the bases of the right and left pedicles.
Geometric pelvic indices will be calculated automatically with the generation of the 3D pelvic model. Indices describing the orientation of the pelvis in 3D (positional indices), based on the line joining the center of both femoral heads (hip axis), will be calculated first. Pelvic axial rotation is the orientation of the hip axis around the vertical axis (gravity line) as viewed in the transverse plane. Pelvic obliquity is the orientation of the hip axis around the horizontal line as viewed from the coronal plane. Pelvic tilt is the orientation of the pelvis around the medio-lateral axis of the pelvis as viewed from the sagittal plane. In this last case, at least another landmark from the pelvis (such as the center of the upper sacral plate) needs to be identified in addition to the hip axis. The sacral slope (angle between the upper sacral plate and the horizontal line is also calculated since it is highly correlated with lumbar lordosis. Sacral obliquity is the angle between the upper sacral plate and the horizontal line. Morphological indices of the pelvis (not dependent on the patient's position) are computed in a reference coordinate system based on the hip axis orientation, in order to eliminate the effect of pelvic axial rotation and obliquity. This means that transformation into the reference coordinate system allows calculation of morphological indices in the true coronal, axial and sagittal planes of the pelvis. The investigators selected the pelvis as their reference system based on the pelvic vertebra principle from Dubousset, which states that the pelvis can be viewed as a separate vertebra. As described earlier, numerous morphologic parameters of the pelvis have been used in the past, as detailed in Tables I to III. Of these, after a thorough review of the literature, the investigators selected what they consider the 7 most pertinent specific indices. The investigators based their decision on the potential association of the pelvic indices with the pathogenesis of AIS. Since they demonstrated the close relationship between pelvic incidence and lumbar lordosis in AIS, the investigators selected morphological indices of the pelvis that are correlated with the spine geometry.
Condition | Scoliosis |
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Clinical Study Identifier | NCT02434003 |
Sponsor | St. Justine's Hospital |
Last Modified on | 16 May 2022 |
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