Grant: Project Grant
Polytechnique Montréal
$470,476.00
Non-Invasive Assessment of Scoliotic Trunk Mobility for an Effective Management of Patients
FY 2022-23
Summary
Adolescent idiopathic scoliosis (AIS) is a complex 3D deformation of the trunk, with a prevalence of 1 - 3% in the general population. Among AIS patients, 8%-9% will be treated by brace and about 1 / 1,000 will need corrective spinal surgery. Patient monitoring requires X-ray examinations at least every six months, more often during the maximal growth spurt, even though most patients' spinal curvatures will not progress to requiring conservative treatment such as physiotherapy specific scoliosis exercises (PSSE), bracing or surgery. In practice, clinical tests are performed for the assessment of the trunk mobility to guide the therapeutic approach. However, those tests cannot provide specific information on the mobility patterns of the trunk segments and on postural compensations while the person is performing specific movements. Thus, there is an urgent need to develop quantitative tools to assess scoliotic trunk mobility.
Our main objective is to develop a method to evaluate scoliotic trunk mobility utilizing dynamic surface topography (ST) technology to capture the 3D dynamic back shape. We will evaluate this approach in terms of its predictive value for treatment outcomes and examine how this can help in AIS management. Our specific objectives are to: 1) Propose a method exploiting dynamic ST to assess deformations in back shape as the patient performs prescribed movements. 2) Exploit the dynamic ST acquisitions to calibrate the parameters of a simulator predicting the effect of spinal surgery on the whole trunk shape. 3) Examine how the trunk mobility features can allow clinicians to make more timely treatment decisions.
Once validated, the developed tool will be a valuable decisional aid for AIS treatment and will enhance our understanding of the effect of scoliosis on the shape dynamics of the trunk. In the longer term, this research can increase patient involvement with their treatment, and reduce the number of radiographic exams required during monitoring.
Department
Program
Project Grant
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
469244
Name
Cheriet Farida
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Musculoskeletal Health and Arthritis
Theme2
Biomedical
Prcname2
Biomedical Engineering
Projecttitle
Non-Invasive Assessment of Scoliotic Trunk Mobility for an Effective Management of Patients
Programtype2
Operating Grants
Orgnameinp2
Polytechnique Montréal
Cihramount2
$470,476
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
3d Shape Analysis; Analysis; Artificial Intelligence; Biomedical Engineering; Geometric Modeling; Machine Learning; Non-Invasive Imaging; Numerical Simulation; Scoliosis; Surface Topography
Abstract
Adolescent idiopathic scoliosis (AIS) is a complex 3D deformation of the trunk, with a prevalence of 1 - 3% in the general population. Among AIS patients, 8%-9% will be treated by brace and about 1 / 1,000 will need corrective spinal surgery. Patient monitoring requires X-ray examinations at least every six months, more often during the maximal growth spurt, even though most patients' spinal curvatures will not progress to requiring conservative treatment such as physiotherapy specific scoliosis exercises (PSSE), bracing or surgery. In practice, clinical tests are performed for the assessment of the trunk mobility to guide the therapeutic approach. However, those tests cannot provide specific information on the mobility patterns of the trunk segments and on postural compensations while the person is performing specific movements. Thus, there is an urgent need to develop quantitative tools to assess scoliotic trunk mobility.
Our main objective is to develop a method to evaluate scoliotic trunk mobility utilizing dynamic surface topography (ST) technology to capture the 3D dynamic back shape. We will evaluate this approach in terms of its predictive value for treatment outcomes and examine how this can help in AIS management. Our specific objectives are to: 1) Propose a method exploiting dynamic ST to assess deformations in back shape as the patient performs prescribed movements. 2) Exploit the dynamic ST acquisitions to calibrate the parameters of a simulator predicting the effect of spinal surgery on the whole trunk shape. 3) Examine how the trunk mobility features can allow clinicians to make more timely treatment decisions.
Once validated, the developed tool will be a valuable decisional aid for AIS treatment and will enhance our understanding of the effect of scoliosis on the shape dynamics of the trunk. In the longer term, this research can increase patient involvement with their treatment, and reduce the number of radiographic exams required during monitoring.
Competitiondate
202209
Approvedterm2
4 yrs 0 mth
Pinamesdelim
Cheriet, Farida; Parent, Stefan
Approvedterm
4 ans 0 mois
Cihrcontribution2
~ $470,476~ $0~