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3D correction of AIS in braces designed using CAD/CAM and FEM: a randomized controlled trial

Scoliosis and Spinal Disorders volume 12, Article number: 24 (2017) Cite this article

Abstract

Background

Recent studies showed that finite element model (FEM) combined to CAD/CAM improves the design of braces for the conservative treatment of adolescent idiopathic scoliosis (AIS), using 2D measurements from in-brace radiographs. We aim to assess the immediate effectiveness on curve correction in all three planes of braces designed using CAD/CAM and numerical simulation compared to braces designed with CAD/CAM only.

Methods

SRS standardized criteria for bracing were followed to recruit 48 AIS patients who were randomized into two groups. For both groups, 3D reconstructions of the spine and patient’s torso, respectively built from bi-planar radiographs and surface topography, were obtained and braces were designed using the CAD/CAM approach. For the test group, 3D reconstructions of the spine and patient’s torso were additionally used to generate a personalized FEM to simulate and iteratively improve the brace design with the objective of curve correction maximization in three planes and brace material minimization.

Results

For the control group (CtrlBraces), average Cobb angle prior to bracing was 29° (thoracic, T) and 25° (lumbar, L) with the planes of maximal curvature (PMC) respectively oriented at 63° and 57° on average with respect to the sagittal plane. Average apical axial rotation prior to bracing was 7° (T) and 9° (L). For the test group (FEMBraces), initial Cobb angles were 33° (T) and 28° (L) with the PMC at 68° (T) and 56° (L) and average apical axial rotation prior to bracing at 9° (T and L). On average, FEMBraces were 50% thinner and had 20% less covering surface than CtrlBraces while reducing T and L curves by 47 and 48%, respectively, compared to 25 and 26% for CtrlBraces. FEMBraces corrected apical axial rotation by 46% compared to 30% for CtrlBraces.

Conclusion

The combination of numerical simulation and CAD/CAM approach allowed designing more efficient braces in all three planes, with the advantages of being lighter than standard CAD/CAM braces. Bracing in AIS may be improved in 3D by the use of this simulation platform. This study is ongoing to recruit more cases and to analyze the long-term effect of bracing.

Trial registration

ClinicalTrials.gov, NCT02285621

Peer Review reports

Background

Orthopedic bracing is the conservative treatment generally prescribed to control curve progression in adolescent idiopathic scoliosis (AIS) showing curves between 20° and 40° of Cobb angle [1]. AIS is a three-dimensional (3D) deformity of the spine which includes a deviation in the coronal plane, changes in the sagittal curves, and an axial rotation of the vertebrae [2, 3]. Bracing was demonstrated as an effective treatment to prevent curve progression, as assessed using 2D coronal X-ray measurements, and immediate in-brace correction was found to be correlated to long-term effectiveness [4,5,6,7]. The treatment outcomes rely on multiple factors such as timing with adolescent growth spurt, spine flexibility, and patient compliance to treatment [8,9,10,11].

However, bracing is not always successful and there is a lack of knowledge regarding the correction in the sagittal and transverse planes [12]. Studies reported that brace wear tends to create a hypokyphotic effect and provide a non-significant correction of vertebral axial rotation [13, 14], as well as having no effect on the orientation of the planes of maximum curvature (PMC), which are defined by the planes passing through the apex and the end vertebrae of a given curve [2, 13, 15].

Traditional vs. CAD/CAM brace fabrication

Computer-aided design/computer-aided manufacturing (CAD/CAM) systems are now frequently used for brace design and have proven to be as effective compared to the traditional plaster-cast methods, using 2D metrics [16]. Traditional brace fabrication of rigid thoraco-lumbo-sacral orthosis (TLSO) is based on craftsmanship and involves plaster molding, which requires time and material consumption and presents a low accuracy [17]. However, the CAD/CAM design technique does not have an impact on brace effectiveness’ improvement. For this purpose, finite element models (FEM) have been developed to analyze brace biomechanics [18,19,20,21,22,23]. More recently, a simulation platform was created by combining CAD/CAM system and FEM [24, 25]. It allows the simulation of brace installation on the patient before its fabrication and the iterative improvement of its design and biomechanical efficiency [24, 25]. A randomized controlled trial (RCT) using this simulation platform was previously realized to evaluate the effectiveness of braces designed using this platform compared to standard braces designed with the plaster-cast technique and the CAD/CAM technology only [26]. Braces designed with the simulation platform were found to be more effective than the standard braces for correcting the major thoracic curve. Yet, measurements of brace effectiveness were done in 2D using the postero-anterior and lateral radiographs, and it remained to be demonstrated that the 3D correction of the curve could also be improved by the use of this simulation platform.

The objective of this study was to revisit the data from the previous RCT study to assess the 3D immediate effectiveness of braces designed using CAD/CAM and FEM compared to CAD/CAM only.

Methods

Study design

Inclusion criteria for this study were based on the SRS standardized criteria for bracing, and patients were consecutively recruited at our scoliosis clinic [27]. Inclusion criteria were AIS diagnosis (Cobb angle between 20° and 40°), a Risser sign of 0–2, and a full-time TLSO prescription. The study was approved by our institutional ethical committee, and each participant and their parents gave a written consent.

A simple randomization sequence was prepared by a biostatistician not involved in the recruitment and follow-up of the patients and was generated by a randomization table (simple block randomization list with a block size of 4). Patients were assigned to their group using the randomization sequence. The caregivers were blinded but not the orthotist. All patients had their brace designed by one of the two participating orthotists having more than 10 years of experience with TLSO and 2 years of experience with CAD/CAM technology. The patients from the control group received a TLSO designed and fabricated using the CAD/CAM approach only (CtrlBrace) while the patients from the test group received a TLSO designed and fabricated using the CAD/CAM approach but additionally simulated using a patient-specific FEM (FEMBrace).

Brace design and fabrication

For all patients, simultaneous calibrated bi-planar postero-anterior (PA) and lateral (LAT) radiographs were taken during the patient’s first visit and after the brace installation using a low-dose digital radiography system (EOS™, EOS imaging, Paris, France). The 3D reconstruction was done with a custom-developed software using a semi-automated method based on 19 anatomical control points on the vertebral bodies, pedicles, and posterior arches [28]. The following indices were computed using the initial and in-brace 3D reconstructions using a custom measurement software: main thoracic (T) and lumbar (L) Cobb angles, kyphosis (T4–T12) and lordosis (L1–S1) angles, apical rotation at the apex of both T and L curves, and orientation of the PMC for T and L curves [29]. The precision using this software has been shown to be less than 1.5 mm for mean point-to-surface error and inferior to 5° for angular measurements compared to computed tomographic scan reconstructions [30].

For all patients, the external torso geometry was acquired using a surface topography system (3-dimensional Capturor, Creaform Inc., Levis, Canada) [31, 32]. Modification of the external torso geometry was done by the orthotists using a CAD/CAM software (Rodin4D, Bordeaux, France) to design the shape of the brace by virtually adding or removing material to introduce pressure and relief areas and corrective translations. Braces were then fabricated using a numerically controlled carver (Model C, Rodin 4D, Bordeaux, France) linked to the CAD/CAM software. A polyurethane foam bloc was carved according to the CAD model, and brace shell thermoforming was done using a heated copolymer sheet. The fabricated brace was trimmed and adjusted by the orthotist, and brace effectiveness was assessed using the 3D reconstruction of the spine obtained from calibrated PA and LAT in-brace radiographs [28]. The brace covering surface area was computed by importing the STL file of the brace design in a CAD/CAM software (CATIA V5R21, Dassault Sytemes, Vélizy-Villacoublay, France). Brace shell thickness and corrective pad thickness were measured by the orthotist following brace adjustment using a caliper tool [26].

Additional steps for the test group (FEMBrace)

Radiopaque markers visible on X-rays and trunk surface were a priori positioned on anatomical points of the patient’s torso (vertebrae T1 and L5, sternum jugular notch and xiphoid process, right and left anterior iliac spines) and were used to register the 3D reconstruction and the external torso geometry using a point-to-point least square algorithm. Using a previously validated method, the registered geometry was used to create a personalized FEM using Ansys 14.5 software package (Ansys Inc., Canonsburg, PA, USA) [7, 33]. The FEM includes the vertebrae T1 to L5, intervertebral discs, ribs, sternum, costal cartilages, ligaments, abdominal cavity, and soft external tissues (Fig. 1). Mechanical properties of the anatomical structures were taken from published data obtained on typical human cadaveric spine segments [20, 21, 33,34,35,36,37].

Fig. 1
figure1

a Acquisition of the calibrated bi-planar radiographs and view of the corresponding 3D reconstruction of the spine, rib cage, and pelvis. b Top view of the planes of maximal curvature. c Torso 3D geometry following surface topography acquisition. d 3D geometric registration of the spine and torso geometry. e Finite element model of the trunk: vertebrae, intervertebral discs, ribs, sternum, costal cartilages, ligaments, and soft external tissues

Full size image

For FEMBraces, during the brace design process, the 3D reconstruction of the initial patient’s spinal geometry (previously obtained for the FEM generation) was available and imported as an STL file in the CAD/CAM software to help position the corrective translation and pressure areas on the torso geometry. A brace FEM using polyethylene mechanical properties was then created. The orthotist selected nodes on the brace FEM to define the strap localization and virtually positioned the brace on the patient’s FEM. The brace installation was then simulated using a point-to-surface contact interface between the brace and the trunk models to represent friction and force transfer from the brace shell to the patient’s trunk surface [33, 38]. During the brace installation simulation, the brace was opened by applying displacement on nodes of the brace posterior opening. The brace was then placed on the trunk model, and sets of co-linear forces were applied at the strap fixation sites as previously determined by the orthotist [33]. During all simulation steps, the pelvis was fixed in space and the first thoracic vertebra (T1) was allowed to rotate and translate longitudinally. For a given simulation, the correction was assessed using post-processed Cobb angles, lordosis and kyphosis, vertebral axial rotation, and the orientation of the PMC, as well as the distance between patient’s skin and brace shell (brace fitting) (Fig. 2). Following the brace simulation, it was possible to modify the brace design to improve brace correction. To improve 3D correction, the brace design was iteratively modified by the orthotist in the CAD/CAM software by varying mainly the corrective pressure area localization and depth, as well as the trim lines, relief zones, side of trochanteric pressure area, and openings on the brace, and was simulated. The brace effectiveness was computationally assessed by the orthotist to maximize the correction using post-processed 3D indices. The strategy for correction maximization was to incrementally accentuate pad depth by 5 mm until simulated spinal correction remained stable even with the corrective area depth increasing (2° Cobb angle) [25]. The numerical process required an average of 3 iterations per patient (minimum 2, maximum 6). The strategy for minimizing the brace surface contact was to create openings in the brace shell at locations where the simulated distance between brace material and patient’s skin was more than 6 mm.

Fig. 2
figure2

a Patient’s recruitment and randomization. b CtrlBrace design using the CAD software. c Iterative FEMBrace design using the CAD software and simulation of the FEMBrace installation. d Brace fabrication using a numerically controlled carver

Full size image

The optimal FEMBrace was then fabricated using the same numerical controlled carver and thermoforming process as for the control group (CtrlBrace). The FEMBrace was trimmed by the orthotist, and brace effectiveness was assessed using the 3D reconstruction of the spine computed from simultaneous PA and LAT radiographs. Brace covering surface and brace thickness were measured using the same methods as for CtrlBrace.

Statistical analysis

Statistical analysis was performed using STATISTICA 10.0 software package (Statistica, StatSoft Inc., Tulsa, Oklahoma, USA). To verify that both groups were statistically comparable, a paired Student t test (95% significance level) was applied to compare the curve severity, T4–T12 kyphosis, L1–S1 lordosis, apical axial rotation, and the orientation of the PMC between both groups. A statistical analysis was also realized using a paired Student t test (95% significance level) to analyze if there was a significant difference between both groups for in-brace indices.

Results

Twenty-five patients and 23 patients were respectively recruited in the control group and the test group. Following statistical analysis, both groups were found comparable and had non-statistically different age, sex, weight, height, skeletal maturity, curve type, curve severity, and initial 3D parameters (Table 1). For the control group, average Cobb angle prior to bracing was 29° (T) and 25° (L) and the apical axial rotation was of 7° for the T curve and 9° for the L curve with respective PMC oriented at 63° and 57° with respect to the sagittal plane. For the test group, average Cobb angle prior to bracing was 33° (T) and 28° (L) and the average apical axial rotation was of 9° for both T and L curves, with respective PMC of 68° and 56°. For both groups, average initial T4–T12 kyphosis was 25° and average L1–S1 lordosis was 66°.

Table 1 Patient data at initial visit (measurements in the three planes computed using the 3D reconstruction of the spine)
Full size table

The coronal plane correction was statistically significantly greater in the test group vs. the control group (p < 0.05): FEMBraces reduced T Cobb angle by 47% while it reduced the L Cobb angle by 48% vs. 25 and 26% respectively for the CtrlBraces (Table 2). The actual FEMBrace Cobb angle correction was predicted with an average difference inferior to 5° by the simulation.

Table 2 In-brace results for T and L Cobb angles, apical axial rotation for T and L apex, and orientation of the planes of maximal curvature and kyphosis and lordosis angles
Full size table

In the transverse plane, the correction also was statistically significantly greater in the test group vs. the control group (p < 0.05): apical axial rotation was corrected by 46% for FEMBraces vs. 30% for CtrlBraces for both T and L curves (Table 2). A statistically significant corrective effect was found between the in-brace-corrected PMC and the out of brace initial PMC for the L curve (p value = 0.01) for both groups. However, the orientation of the PMC of the T curve was not really modified in both groups, but with larger variability in the control group.

In the sagittal plane, the kyphosis was significantly less reduced in the test vs. control group (p < 0.05) (2 vs. 16%), but there was no significant difference for the change of lordosis (21 vs. 16%) (Table 2). Detailed statistical results including the p values are described in Table 2.

FEMBraces had an average of 20% less covering surface than the CtrlBraces. The brace shell thickness was the same for both groups (4 mm), but 13-mm-thick pads were added to the CtrlBraces (no foam pad (liner) was necessary for the FEMBraces). As CtrlBrace foam pads were covering on average 34% of the brace area, we estimated globally FEMBraces to be 50% thinner than CrtlBraces (Fig. 3).

Fig. 3
figure3

Results in the coronal (T and L Cobb angles), sagittal (kyphosis and lordosis), and transverse planes (T and L PMC as well as T and L apical axial rotation) for two typical patients: out of brace initial curve, with the CtrlBrace or with the FEMBrace

Full size image

The time needed for the orthotists to complete the iterative brace design process was of 5 min to start the simulation (manipulations to prepare and position the brace model on the trunk model, selection of the strap fixation sites) and 10–15 min per iteration to perform the modifications on the brace design in the CAD/CAM software for the next simulation. However, the time needed for the brace fitting was reduced by approximately 30 min as compared to the CtrlBraces.

Discussion

This study demonstrated a clinically and statistically significant greater 3D immediate in-brace effectiveness for braces designed using a new design platform combining CAD/CAM and FEM compared to CAD/CAM only. The main strength of this study is the 3D analysis and the RCT design, which confirms and supports previous feasibility studies with CAD/CAM and FEM simulations for brace design in AIS. It distinguishes from previous studies for which brace effectiveness was only evaluated in 2D using only the PA and LAT radiographs.

Using this simulation platform, it is possible to simulate/test different brace designs and better define the treatment plan to include the sagittal and transverse plane correction parameters. We believe that having access to spinal 3D reconstructions and FEM combined with CAD/CAM techniques allows orthotists to better visualize and address the sagittal, transverse, and coronal profiles of the spine. This could improve brace design with better 3D fitting to correct efficiently the spinal deformity in the frontal plane, as well as in the transverse plane, while preserving the kyphosis and lordosis curvatures in the sagittal plane.

Furthermore, by performing the measurements using the 3D reconstruction instead of radiographs, it was possible to assess additional 3D parameters, which were not evaluated in previous studies [24,25,26] such as the axial rotation at the apex of the curves and the orientation of the PMC for both T and L curves. Vertebral axial rotation is possibly associated with curve progression [39], and correcting or controlling this parameter could improve brace effectiveness for the long-term results.

The limited action of the CtrlBraces on the orientation of the PMC was also reported in previous studies [13, 37]. The PMC combines the regional description of the spine curvature in both the sagittal and the coronal planes; therefore, it is not an independent index as compared to the vertebral axial rotation, which is a measurement of the mechanical torsion in the spine. The components of brace design that could address the residual regional deformity of the PMC remain to be dealt with. The use of the patient-specific FEM could be useful to further improve the 3D effectiveness of braces.

However, there are limitations to this trial. The detailed muscles and muscular activation were not modeled in the FEM but were indirectly represented through a global evaluation of forces required to maintain the balance at T1. In this study, we only addressed the immediate effect of wearing a brace. Since a correlation has been reported between immediate in-brace correction and brace treatment long-term effectiveness [5] and that 3D parameters related to curve progression seem to be better controlled, it suggests that FEMBraces may also improve the long-term treatment efficacy in all three planes. A study of long-term effects in a larger cohort appears warranted to evaluate if the 3D correction of the deformity influence the treatment’s outcomes.

The use of the simulation platform allowed orthotists to analyze the contact surface between brace and patient’s skin, in order to adjust the openings and relief zones on the brace to obtain less covering surface and thinner braces. The addition of FEM to CAD/CAM techniques was not more time-consuming and did not add complexity to brace fabrication as the brace was optimized.

This simulation platform allowed to test any rigid brace design; therefore, it could also be used to study or improve any other braces like the ones with an anterior opening, orthoses used to treat scoliotic thoraco-lumbar curves or orthoses presenting possible 3D spinal correction in the sagittal and the transverse planes [40].

Conclusions

Combining the CAD/CAM approach with FEM simulation allowed the design of more efficient braces to correct the scoliotic spinal deformities in all three planes at the first immediate in-brace evaluation, with lighter design than standard CAD/CAM braces. These results suggest that long-term 3D effect of bracing in AIS may be improved by the use of this new platform, but this should be further tested as part of an ongoing RCT study. We feel that the ability to assess the biomechanical effects of bracing in 3D is becoming important.

Abbreviations

3D:

Three-dimensional

AIS:

Adolescent idiopathic scoliosis

CAD/CAM:

Computer-aided design/computer-aided manufacturing

FEM:

Finite element model

L:

Lumbar

LAT:

Lateral

PA:

Postero-anterior

PMC:

Plane of maximum curvature

RCT:

Randomized controlled trial

T:

Thoracic

TLSO:

Thoraco-lumbo-sacral orthosis

References

  1. 1.

    Nachemson AL, Peterson LE. Effectiveness of treatment with brace in girls who have adolescent idiopathic scoliosis. A prospective, controlled study based on data from the Brace Study of the Scoliosis Research Society. J Bone Joint Surg. 1995;77:815–22.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Trobisch P, Suess O, Schwab F. Idiopathic scoliosis. Dtsch Arztebl Int. 2010;107(49):875–83.

    PubMed  PubMed Central  Google Scholar 

  3. 3.

    Labelle H, Aubin CE, Jackson R, Lenke L, Newton P, Parent S. Seeing the spine in 3D: how will it change what we do? J Pediatr Orthop. 2011;31(1 Suppl):S37–45.

    Article  PubMed  Google Scholar 

  4. 4.

    Castro F. Adolescent idiopathic scoliosis, bracing, and the Hueter-Volkmann principle. Spine. 2003;3:182–5.

    Google Scholar 

  5. 5.

    Weinstein SL, Dolan LA, Wright JG, Dobbs MB. Effects of bracing in adolescents with idiopathic scoliosis. N Engl J Med. 2013;369(16):1512–21.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Landauer F, Wimmer C, Behensky H. Estimating the final outcome of brace treatment for idiopathic thoracic scoliosis at 6-month follow-up. Pediatric rehabilitation. 2003;6:201–7.

    Article  PubMed  Google Scholar 

  7. 7.

    Clin J, Aubin CE, Sangole A, Labelle H, Parent S. Correlation between immediate in-brace correction and biomechanical effectiveness of brace treatment in adolescent idiopathic scoliosis. Spine. 2010;35(18):1706–13.

    Article  PubMed  Google Scholar 

  8. 8.

    Nault M, Parent S, Phan P, Roy-Beaudry M, Labelle H, Rivard M. A modified Risser grading system predicts the curve acceleration phase of female adolescent idiopathic scoliosis. J Bone Joint Surg Am. 2010;92:1073–81.

    Article  PubMed  Google Scholar 

  9. 9.

    Lusini M, Donzelli S, Minnella S, Zaina F, Negrini S. Brace treatment is effective in idiopathic scoliosis over 45°: an observational prospective cohort controlled study. Spine J. 2010;14(9):1951–6.

    Article  Google Scholar 

  10. 10.

    Brox JI, Lange JE, Gunderson RB, Steen H. Good brace compliance reduced curve progression and surgical rates in patients with idiopathic scoliosis. Eur Spine J. 2012;21:1957–63.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Aulisa GO, Giordano M, Falciglia F, et al. Correlation between compliance and brace treatment in juvenile and adolescent idiopathic scoliosis: SOSORT 2014 award winner. Scoliosis. 2014;9:6.

    Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Courvoisier A, Drevelle X, Vialle R, Dubousset J, Skalli W. 3D analysis of brace treatment in idiopathic scoliosis. Eur Spine J. 2013;22:2449–55.

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Labelle H, Dansereau J, Bellefleur C, Poitras B. Three-dimensional effect of the Boston brace on the thoracic spine and rib cage. Spine. 1996;21:59–64.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Schmitz A, Kandyba J, Koenig R, Jaeger UE, Gieseke J, Schmitt O. A new method of MR total spine imaging for showing the brace effect in scoliosis. J Orthop Sci. 2001;6:316–9.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Sangole AP, Aubin CE, Labelle H, Stokes IA, Lenke LG, Jackson R, Newton P. Three-dimensional classification of thoracic scoliotic curves. Spine. 2009;34:91–9.

    Article  PubMed  Google Scholar 

  16. 16.

    Wong MS. A comparison of treatment effectiveness between the CAD/CAM method and the manual method for managing adolescent idiopathic scoliosis. Prosthet Orthot Int. 2005;29(1):105–11.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Wong MS. Computer-aided design and computer-aided manufacture (CAD/CAM) system for construction of spinal orthosis for patients with adolescent idiopathic scoliosis. Physiother Theory Pract. 2011;27(1):74–9.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Gignac D, Aubin CE, Dansereau J, Labelle H. Optimization method for 3D bracing correction of scoliosis using a finite element model. Eur Spine J. 2000;9:185–90.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Wynarsky GT, Schultz AB. Optimization of skeletal configuration: studies of scoliosis correction biomechanics. J Biomech. 1991;24(8):721–32.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Perie D, Aubin CE, Lacroix M, Lafon Y, Labelle H. Biomechanical modelling of orthotic treatment of the scoliotic spine including a detailed representation of the brace-torso interface. Med Biol Eng Comput. 2004;42:339–44.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Perie D, Aubin CE, Petit Y, Labelle H, Dansereau J. Personalized biomechanical simulations of orthotic treatment in idiopathic scoliosis. Clin Biomech. 2004;19:190–5.

    Article  Google Scholar 

  22. 22.

    Clin J, Aubin CE, Labelle H. Virtual prototyping of a brace design for the correction of scoliotic deformities. Med Biol Eng Comput. 2007;45:467–73.

    Article  PubMed  Google Scholar 

  23. 23.

    Clin J, Aubin CE, Parent S, Labelle H. Biomechanical modeling of brace treatment of scoliosis: effects of gravitational loads. Med Biol Eng Comput. 2011;49:743–53.

    Article  PubMed  Google Scholar 

  24. 24.

    Desbiens-Blais F, Clin J, Parent S, Labelle H, Aubin CE. New brace design combining CAD/CAM and biomechanical simulation for the treatment of adolescent idiopathic scoliosis. Clin Biomech. 2012;27:999–1005.

    Article  Google Scholar 

  25. 25.

    Cobetto N, Aubin CE, Clin J, Le May S, Desbiens-Blais F, Labelle H, Parent S. Braces optimized with computer-assisted design and simulations are lighter, comfortable and more efficient than plaster-casted braces for the treatment of adolescent idiopathic scoliosis. Spine Deformity. 2014;2(4):276–84.

    Article  PubMed  Google Scholar 

  26. 26.

    Cobetto N, Aubin CE, Parent S, Clin J, Barchi S, Tirgeon I, Labelle H. Effectiveness of braces designed using computer aided design and manufacturing (CAD/CAM) and finite element simulation compared to CAD/CAM only for the conservative treatment of adolescent idiopathic scoliosis: a prospective randomized controlled trial. Eur Spine J. 2016 [Epub ahead of print].

  27. 27.

    Richards BS, Bernstein RM, D’Amato CR, Thompson GH. Standardization of criteria for adolescent idiopathic scoliosis brace studies: SRS Committee on Bracing and Nonoperative Management. Spine. 2005;30(18):2068–75.

    Article  PubMed  Google Scholar 

  28. 28.

    Humbert L, De Guise JA, Aubert B, Godbout B, Skalli W. 3D reconstruction of the spine from bi-planar x-rays using parametric models based on transversal and longitudinal inferences. Med Eng Phys. 2009;31:681–7.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Sangole A, Aubin CE, Labelle H, Stokes AF, Lenke L, Jackson R, Newton P. Three-dimensional classification of thoracic scoliotic curves. Spine. 2008;34:91–9.

    Article  Google Scholar 

  30. 30.

    Pomero V, Mitton D, Laporte S, de Guise JA, Skalli W. Fast accurate stereoradiographic 3D-reconstruction of the spine using a combined geometric and statistic model. Clin Biomech. 2004;19(3):240–7.

    Article  Google Scholar 

  31. 31.

    Pazos V, Cheriet F, Dansereau J, Ronsky J, Zernicke RF, Labelle H. Reliability of trunk shape measurements based on 3-D surface reconstructions. Eur Spine J. 2007;16:1882–91.

    Article  PubMed  PubMed Central  Google Scholar 

  32. 32.

    Raux S, Kohler R, Garin C, Cunin V, Abelin-Genevois K. Tridimensional trunk surface acquisition for brace manufacturing in idiopathic scoliosis. Eur Spine J. 2014;4:S419–23.

    Article  Google Scholar 

  33. 33.

    Clin J, Aubin CE, Parent S, Labelle H. A biomechanical study of the Charleston brace for the treatment of scoliosis. Spine (Phila Pa 1976). 2010;35(19):E940–7.

    Article  Google Scholar 

  34. 34.

    Aubin C, Descrimes JL, Dansereau J, et al. Geometrical modeling of the spine and the thorax for the biomechanical analysis of scoliotic deformities using the finite element method. Ann Chir. 1995;49:749–61.

    CAS  PubMed  Google Scholar 

  35. 35.

    Aubin CE, Dansereau J, de Guise JA, Labelle H. A study of biomechanical coupling between spine and rib cage in the treatment by orthosis of scoliosis. Ann Chir. 1996;50:641–50.

    CAS  PubMed  Google Scholar 

  36. 36.

    Howard A, Wright JG, Hedden D. A comparative study of TLSO, Charleston and Milwaukee braces for idiopathic scoliosis. Spine. 1998;23:2404–11.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Aubin CE, Dansereau J, de Guise JA, Labelle H. Rib cage-spine coupling patterns involved in brace treatment of adolescent idiopathic scoliosis. Spine. 1996;22:629–35.

    Article  Google Scholar 

  38. 38.

    Zhang M, Mak A. In vivo friction properties of human skin. Prosthetics Orthot Int. 1999;23:135–41.

    CAS  Google Scholar 

  39. 39.

    Nault ML, Mac-Thiong JM, Roy-Beaudy M, Turgeon I, Deguise J, Labelle H, Parent S. Three-dimensional spinal morphology can differentiate between progressive and non-progressive patients with adolescent idiopathic scoliosis at the initial presentation: a prospective study. Spine. 2014;39:E601–6.

    Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Al-Aubaidi Z, Shin EJ, Howard A, Zeller R. Three dimensional analysis of brace biomechanical efficacy for patients with AIS. Eur Spine J. 2013;22(11):2445–8.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Special thanks to Marie-Chantal Bolduc and Benoit Bissonnette from Orthèse-Prothèse Rive-Sud who contributed to the design and fabrication of the braces and delivery to the patients.

Funding

This project was funded by the Natural Sciences and Engineering Research Council of Canada (RGPIN 239148-11) and the Canadian Institutes of Health Research (MOP-119455).

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

NC built the finite element models of the test group patients for the orthotists simulations, analyzed and interpreted the radiological patient data and statistical analysis, and was a major contributor in writing the manuscript. CEA interpreted the radiological and statistical analysis and was a major contributor in writing the manuscript. SP and HB were the attending physicians for the study and interpreted the radiological patient data. SB was responsible for the ethical procedures and patient recruitment for the study and was a major contributor in writing the manuscript. IT was responsible for the ethical procedures and patient recruitment for the study. All authors read and approved the final manuscript.

Competing interests

Research and development contract was obtained with Groupe Lagarrigue to develop and transfer a license of the simulation platform. Money was given to the university, and the contract was not directly related to the presented RCT study. The RCT study presented in this paper was funded by a peer-reviewed grant from the Canadian Institutes of Health Research. The participating orthotists from Orthèse-Prothèse Rive-Sud received nothing of value to realize this study.

Consent for publication

Consent for publication was obtained from all individual participants included in the study and their parents.

Ethics approval and consent to participate

All procedures performed in this study involving human participants were in accordance with the ethical standards of the CHU Sainte-Justine Research Ethics Board (Reference #3585) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study and their parents.

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Affiliations

  1. Department of Mechanical Engineering, Polytechnique Montreal, P.O. Box 6079, Downtown Station, Montreal, Quebec, H3C 3A7, Canada

    Nikita Cobetto, Carl-Éric Aubin, Stefan Parent, Soraya Barchi, Isabelle Turgeon & Hubert Labelle

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  1. Nikita Cobetto
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  2. Carl-Éric Aubin
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  3. Stefan Parent
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  4. Soraya Barchi
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  5. Isabelle Turgeon
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  6. Hubert Labelle
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Corresponding author

Correspondence to Carl-Éric Aubin.

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Cobetto, N., Aubin, C., Parent, S. et al. 3D correction of AIS in braces designed using CAD/CAM and FEM: a randomized controlled trial. Scoliosis 12, 24 (2017). https://doi.org/10.1186/s13013-017-0128-9

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Keywords

  • Computer-aided design/computer-aided manufacturing
  • Scoliosis
  • Thoraco-lumbo-sacral orthosis
  • Finite element model (FEM)
  • RCT

Scoliosis and Spinal Disorders

ISSN: 2397-1789

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