The Heart and Stroke Richard Lewar Centre of Excellence (HSRLCE) and Toronto Academic Cardiac Vascular Collaborative (TACVC) Innovation Competition
In collaboration with the Heart and Stroke/Richard Lewar Centre of Excellence in Cardiovascular Research (HSRLCE), the academic/teaching hospitals from the Toronto Central Local Health Integration Network (i.e. St. Michael’s Hospital, Sunnybrook Health Sciences Centre, University Health Network, and Women’s College Hospital) are hosting a Cardiac and Vascular Collaborative Innovation Competition. The goal is to spur innovation and collaboration between institutes with the aim of improving quality of care within cardiac and vascular programs.
The purpose of the award is to provide seed funding for novel ideas aimed at cardiovascular disease management, emphasizing collaborative research and development at multiple sites within the TCLHIN and initiated by at least one investigator from within the LHIN. Priority will be given to ideas with a pathway toward commercialization within 5 years.
Each of the four participating sites (SMH, SHSC, UHN & WCH) will commit funds of $35,000 per site toward associated activities at their site. This will be matched by a $110,000 support by HSRLCE, to provide a total award pool of $250K per year. The total funding available per year is $250,000. The maximum award per successful proposal is $150,000. Award term will be one year. A second year of funding is possible with re-application and associated competitive review.
Dr. Andrew Dueck has been awarded the 2017 HSRLCE/TACVC Innovation Award in the amount of $150,000.
About the Researchers
Andrew Dueck, Vascular Surgeon, Associate Scientist, Sunnybrook Research Institute
Graham Wright, Senior Scientist, Professor, Sunnybrook Research Institute
Trisha Roy, Vascular Surgery Resident/PhD Candidate, University of Toronto
Thomas Forbes, Vascular Surgeon, Professor, University Health Network
Mark Wheatcroft, Vascular Surgeon, St. Michael’s Hospital
About the Innovation
We propose the development of a novel image analysis software program to plan peripheral vascular interventions (PVI) for patients with peripheral arterial disease (PAD). Using a combination of two MRI sequences, we have shown that it is possible to perform flow-independent native-contrast MR angiograms and to further characterize the mechanical properties of peripheral arterial lesions. These features are important determinants of PVI outcomes and can inform personalized treatment plans.
The solution we propose requires the development of an image analysis technique to automatically locate and characterize PAD lesions. To commercialize this technique, we will develop clinical-use software that implements this image analysis method, and create a well-designed and easy-to-use interface for surgeons to plan peripheral interventions. In the future, we will use this software in a clinical trial to develop new clinical protocols for patient selection, procedure planning, and prognostication.