Docteur en Médecine : Université Libre de Bruxelles 2001
Docteur spécialiste en Orthopédie et traumatologie : Université Libre de Bruxelles 2008
2020-2021, 2021-2022, 2022-2023: "Bourse en l’honneur de Steve et Elisabeth Freidberg-Strauss"
Use of a kinematic model in the evaluation of the spine
The objective of this study is to characterize the segmental mobility of a deformed spine by kinematic data from motion analysis of the BTS SMART-DX system.
Scoliosis is a general term that groups together a set of conditions leading to changes in the shape and position of the spine. The diagnosis is confirmed when the Cobb angle is greater than or equal to 10 ° with axial rotation of the vertebrae on the x-ray. The basic objectives of treatment, whether conservative (brace) or surgical, are to improve the balance of the spine and fight against the progression of the deformity. In correcting the scoliotic spine, predictive information can effectively help clinicians suggest better treatments and surgical plans.
Predictive information can be useful in a variety of areas: designing brace, planning appropriate surgical correction techniques. This information should be patient specific and personalized. Several biomechanical models have been created over the past ten years to predict the effect of these treatments. In most of these studies, the flexibility properties of the scoliosis spine were not tailored specifically to patients.
We propose to include in a multibody model personalized kinematic data obtained by motion analysis.
The contribution of our study is to avoid preoperative irradiation when evaluating the flexibility of scoliosis and during the follow-up of conservative treatment as well as improving the planning of these treatments.