About this trial
Adolescent Idiopathic Scoliosis (AIS) is a growth defect of the spine that primarily occurs in prepubertal children between the age of 10 to 14 years, affecting approximately 3% of these otherwise normal children. AIS has been associated with problems related to posture, load-related back pain, as well as aesthetic problems, e.g. the induced asymmetry of the shoulder. Therefore, early diagnosis followed by the appropriate treatment is vital to prevent further curve progression of AIS and minimize the health-related complications of these patients.
The current treatment recommendation to stop curve progression for an immature patient with a scoliosis curve between 25 and 40 degrees is to wear a brace. If the curve in the skeletally immature patient is not responding to the brace treatment, dynamic scoliosis correction by vertebral body tethering can be considered when there is still some growth potential left. State-of-the-art guidelines for the selection of fusion levels are currently mainly based on two-dimensional (2D) static radiographic parameters (such as, the Cobb angle and Shoulder balance) and a qualitative assessment of 2D bending or traction radiographs. Several classification systems and algorithms that are based on the 2D static radiographic (X-ray) parameters exist to assist surgeons in determining the appropriate levels to be instrumented. Despite this wide range of classification systems and detailed guidelines available in the literature, spinal fusion does not always yield satisfying 2D radiographic clinical outcome, with revision rates ranging from 3.9% to 22%.
Overall, the surgeon is presently not provided with 3D dynamic and mechanical information regarding the deformity of the AIS to guide the decision-making. Obtaining this vital 3D dynamic information regarding the curvature and mechanical behavior of the spine will allow the surgeon to make an evidence-based and well-informed decisions in the treatment of the AIS patient. Consequently, realizing these objectives has the potential to improve patient satisfaction, reduce the postoperative complications and accordingly reduce socio-economic costs associated with AIS treatment. Recent advances in the use of subject specific musculoskeletal models will form the basis to realize this shift from 2D to 3D dynamic in AIS care.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patient diagnosed with Adolescent Idiopathic Scoliosis
10-35 years old
Patient is scheduled to be surgically treated by vertebral body tethering (VBT) or selective fusion at UZ Leuven
Informed consent obtained: also from parent/guardian in case of minors
Disqualifiers
Patient has undergone a fusion or VBT procedure before
Patient has a severe underlying illness which might influence the outcome of the surgery
Making it reasonable for the investigator to exclude the patient
Trial design
Single group
Treatments tested in this trial
Adolescent Idiopathic Scoliosis
Procedure/SurgeryAdolescent Idiopathic Scoliosis
Treatment groups
Trial outcomes
Primary outcomes
3D dynamic parameters
The key 3D dynamic parameters that have the potential to improve the clinical decision-making in AIS specifically with regards to shoulder balance and PROMs will be identified from the wide range of data collected at the different timepoints of the present study. The specific parameters to be included in the analysis will be partially informed by the 3D parameters identified from our ongoing retrospective study.
Secondary outcomes
Biomechanically-informed Adolescent Idiopathic Scoliosis specific 3D model
The development of a biomechanically-informed AIS specific 3D model will allow us to calculate the parameters of interest at different timepoints. This information could additionally be used to investigate the compensations made by the AIS patients after surgery during static and dynamic activities. Furthermore, the developed 3D model could in the future be used to examine the possibility of integrating computational simulations at different timepoints in the treatment (e.g. pre- and preoperative), which are a safe non-invasive method to gain knowledge about the consequences of the surgery on the patient in a virtual environment.
Sponsors and contacts
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