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. 2010 Jul;19(7):1169-78.
doi: 10.1007/s00586-009-1268-2. Epub 2010 Jan 22.

Comparison of the biomechanical 3D efficiency of different brace designs for the treatment of scoliosis using a finite element model

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Comparison of the biomechanical 3D efficiency of different brace designs for the treatment of scoliosis using a finite element model

Julien Clin et al. Eur Spine J. 2010 Jul.

Abstract

The biomechanical influence of thoraco-lumbo-sacral bracing, a commonly employed treatment in scoliosis, is still not fully understood. The aim of this study was to compare the immediate corrections generated by different virtual braces using a patient-specific finite element model (FEM) and to analyze the most influential design factors. The 3D geometry of three patients presenting different types of curves was acquired with a multi-view X-ray technique and surface topography. A personalized FEM of the patients' trunk and a parametric model of a virtual custom-fit brace were then created. The installation of the braces on the patients was simulated. The influence of 15 design factors on the 3D correction generated by the brace was evaluated following a design of experiments simulation protocol allowing computing the main and two-way interaction effects of the design factors. A total of 12,288 different braces were tested. Results showed a great variability of the braces effectiveness. Of the 15 design factors investigated, according to the 2 modalities chosen for each one, the 5 most influential design factors were the position of the brace opening (posterior vs. anterior), the strap tension, the trochanter extension side, the lordosis design and the rigid shell shape. The position of the brace opening modified the correction mechanism. The trochanter extension position influenced the efficiency of the thoracic and lumbar pads by modifying their lever arm. Increasing the strap tension improved corrections of coronal curves. The lordosis design had an influence in the sagittal plane but not in the coronal plane. This study could help to better understand the brace biomechanics and to rationalize and optimize their design.

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Figures

Fig. 1
Fig. 1
Acquisition of the internal geometry using the multi-view radiographic reconstruction technique. a1 Postero-anterior (PA) and lateral acquisition. a2 PA, lateral, and PA with an incidence of 20° radiographs. a3 3D reconstruction. b Acquisition of the external geometry using the range sensor topography technique. c Superimposition of the two geometries (Rg global reference system)
Fig. 2
Fig. 2
Postero-anterior and lateral radiographs of the patients
Fig. 3
Fig. 3
Trunk FEM of the patient P2 (intercostal ligaments and abdominal beams are not shown for clarity)
Fig. 4
Fig. 4
a Generative curves; b geometrical model of the brace; c finite element model of the brace; d FEM Brace installed on the patient
Fig. 5
Fig. 5
Brace design factors: A and B Brace type; C lordosis design; D thoracic pad position; E lumbar pad height; F trochanter extension side; G trochanter pad; H iliac crest roll design; I thoracic pad height; J shell symmetry; K number of straps; L counter-thoracic pad; M opening position
Fig. 6
Fig. 6
Effect of the position of the trochanter extension side on the spine shape of the three patients P1, P2, P3 in the coronal plane (postero-anterior view) (blue diamond spinal shape without brace, red square in brace with the trochanter extension on the right side, green triangle in brace with the trochanter extension on the left side)

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