Grant: Project Grant
Polytechnique Montréal
$420,750.00
Multimodal Image-based Simulation Tool to Support Decision-Making in Scoliosis Surgery
FY 2017-18
Summary
Adolescent idiopathic scoliosis (AIS) is a complex 3-D deformation of the trunk, with a prevalence of about 1 - 3% in the general population. Among patients with AIS, about one in a thousand will need surgery using spinal instrumentation and fusion to correct the deformity. About 15 000 such surgeries are performed every year in North America and more than 4000 were performed at Sainte Justine hospital during the last 30 years. Persistence of external trunk asymmetry after scoliosis surgical treatment is frequent and difficult to predict by clinicians. This is a significant problem considering that correction of the apparent deformity is a major factor of satisfaction for the patients. A simulation of the correction on the external appearance would allow the clinician to illustrate to the patient the potential result of the surgery and would help in deciding on a surgical strategy that could most improve his/her appearance. The main objective of this project is to develop a simulator to predict the scoliotic trunk shape after a spine surgical intervention.
Once validated, the proposed simulator will benefit the surgeon by providing an enhanced preoperative planning tool and the patient by allowing her/him to readily understand the outcome of surgery. This technology will increase the quality of life of the patient and will benefit the Canadian economy by reduction in health care costs, due to an objectively chosen optimal strategy of treatment.
Department
Program
Project Grant
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
370466
Name
Cheriet Farida
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Musculoskeletal Health and Arthritis
Theme2
Biomedical
Prcname2
Biomedical Engineering
Projecttitle
Multimodal Image-based Simulation Tool to Support Decision-Making in Scoliosis Surgery
Programtype2
Operating Grants
Orgnameinp2
Polytechnique Montréal
Cihramount2
$420,750
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Artificial Intelligence; Biomedical Engineering; Bomedical Technology; Geometric Modeling; Machine Learning; Non Invasive Imaging; Physical Modeling; Scoliosis; Software Development; Surface Topography
Abstract
Adolescent idiopathic scoliosis (AIS) is a complex 3-D deformation of the trunk, with a prevalence of about 1 - 3% in the general population. Among patients with AIS, about one in a thousand will need surgery using spinal instrumentation and fusion to correct the deformity. About 15 000 such surgeries are performed every year in North America and more than 4000 were performed at Sainte Justine hospital during the last 30 years. Persistence of external trunk asymmetry after scoliosis surgical treatment is frequent and difficult to predict by clinicians. This is a significant problem considering that correction of the apparent deformity is a major factor of satisfaction for the patients. A simulation of the correction on the external appearance would allow the clinician to illustrate to the patient the potential result of the surgery and would help in deciding on a surgical strategy that could most improve his/her appearance. The main objective of this project is to develop a simulator to predict the scoliotic trunk shape after a spine surgical intervention.
Once validated, the proposed simulator will benefit the surgeon by providing an enhanced preoperative planning tool and the patient by allowing her/him to readily understand the outcome of surgery. This technology will increase the quality of life of the patient and will benefit the Canadian economy by reduction in health care costs, due to an objectively chosen optimal strategy of treatment.
Competitiondate
201709
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Cheriet, Farida; Parent, Stefan
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $420,750~ $0~