Grant: Alliance Grants
École Polytechnique de Montréal
$200,000.00
Spine-Sim Advanced Simulation of Posterior Spine Deformity Instrumentation and Fusion
FY 2024-25
Summary
The proposed biomechanical engineering partnership project is addressing technological and practical problems faced by the medical device industry and orthopedic surgeons for posterior instrumentation related to the treatment of complex spinal pathologies. Each year, more than 450,000 patients with spinal pathologies, trauma, or degenerative conditions undergo surgical instrumentation and osteosynthesis (fusion) procedures. Significant variability in approaches exists in actual practice (implant types, specifications, rod contours) and there is no clear consensus on either optimal instrumentation systems or the ideal postoperative profile (specifics of a patient's pathology, age, or morphology). Surgeons primarily rely on empirical rules, population-based results from clinical studies and their own experience. To achieve the best overall surgical outcome, construct configuration and instrumentation techniques must be optimized based on the patient-specific biomechanical characteristics.
The main objective is to develop "SpineSim", an advanced engineering simulation platform intended to enhance surgeon's ability to plan the procedure and determine the most appropriate instrumentation and fusion strategy for each patient to maximize outcomes, appropriate spinal rebalancing and safety. It will integrate an original hybrid approach of patient-specific 3D imaging, artificial intelligence (AI), deterministic simulation and value-based optimization integrating correction, risk, and cost. A comprehensive verification and validation to confirm the reliability of the model for the context of use as a future preoperative planning platform will follow the recently published ASME V&V40:2018 standard.
Combined with the industrial partner's advanced assistive technologies, such as navigation, robotics, and custom solutions, SpineSim will serve as a platform to effectively plan surgery, transferable to intraoperative assistive technologies, and minimize postoperative biomechanical complications, including adding-on deformities, degenerative changes, and mechanical failures.
Program
Alliance Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
577616-2022
Name nom
Aubin, Carl-Éric CE
Department département
Génie mécanique
Organization id
64
Institution établissement
École Polytechnique de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
200000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1903
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomechanics
Research subject fr
Biomécanique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Spine-Sim Advanced Simulation of Posterior Spine Deformity Instrumentation and Fusion
Keywords
adult spine deformity; biomechanical modeling; biomedical engineering; medical devices; multibody modeling; scoliosis; software as a medical device; spine biomechanics; surgical planning; verification and validation
Application summary
The proposed biomechanical engineering partnership project is addressing technological and practical problems faced by the medical device industry and orthopedic surgeons for posterior instrumentation related to the treatment of complex spinal pathologies. Each year, more than 450,000 patients with spinal pathologies, trauma, or degenerative conditions undergo surgical instrumentation and osteosynthesis (fusion) procedures. Significant variability in approaches exists in actual practice (implant types, specifications, rod contours) and there is no clear consensus on either optimal instrumentation systems or the ideal postoperative profile (specifics of a patient's pathology, age, or morphology). Surgeons primarily rely on empirical rules, population-based results from clinical studies and their own experience. To achieve the best overall surgical outcome, construct configuration and instrumentation techniques must be optimized based on the patient-specific biomechanical characteristics.
The main objective is to develop "SpineSim", an advanced engineering simulation platform intended to enhance surgeon's ability to plan the procedure and determine the most appropriate instrumentation and fusion strategy for each patient to maximize outcomes, appropriate spinal rebalancing and safety. It will integrate an original hybrid approach of patient-specific 3D imaging, artificial intelligence (AI), deterministic simulation and value-based optimization integrating correction, risk, and cost. A comprehensive verification and validation to confirm the reliability of the model for the context of use as a future preoperative planning platform will follow the recently published ASME V&V40:2018 standard.
Combined with the industrial partner's advanced assistive technologies, such as navigation, robotics, and custom solutions, SpineSim will serve as a platform to effectively plan surgery, transferable to intraoperative assistive technologies, and minimize postoperative biomechanical complications, including adding-on deformities, degenerative changes, and mechanical failures.
