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Grant: Collaborative Health Research Projects

Queen's University

$134,450.00

An integrated spectroscopy-ultrasound surgical navigation system for residual cancer detection in breast surgery._x000d_

FY 2020-21

Summary
Breast cancer affects 1 in 8 women during their lives and is the second-leading cause of female cancer related deaths. The ideal treatment is breast-conservation surgery , during its early stage, to remove cancer while conserving healthy tissue. Unfortunately, the current resection methods have high positive margin rates (when cancer cells are found on the edge of the resected specimen) of up to nearly 40%. Positive margins are linked to high probability of recurrence and thus require repeat surgery. On average, one out of every three women undergoing breast-conservation surgery needs at least one additional surgery due to positive margins. Repeat surgery leads to increased risk of postoperative complications, impaired cosmetics, delayed radiation therapy, increased psychological distress, and increased costs and risks of a second general anesthesia. Repeat surgery often leads to full mastectomy, which is a traumatic experience for a patient who expected a curative treatment with breastconservation. Through development of a unique surgical navigation system that integrates intra-operative ultrasound imaging with an acoustic spectroscopy technique, we intend to ensure that the resection cavity is clear of cancer before releasing the patient from the operating table. We take advantage of conventional ultrasound scanners, while building a unique spectroscopic-ultrasound probe, and thus the resulting system will be affordable and accessible to all care facilities in Canada. The proposed system should enable significant reduction in positive margin rates, thereby reducing the number of repeat surgeries, and yielding significant quality of life benefits to patients and a significant reduction in health care costs.
Program
Collaborative Health Research Projects
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
538824-2019
Name nom
Mousavi, Parvin
Department département
Computing, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2019
Award amount
134450
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
360
Committee name en
Collaborative Health Research Projects Selection Panel
Committee name fr
Comité de sélection de projets de recherche concertée sur la santé
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2605
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Pattern analysis and machine intelligence
Research subject fr
Analyse de formes et intelligence artificielle
Installment
inst:2 - 4
Partie
3
Nb partie
4
Application title
An integrated spectroscopy-ultrasound surgical navigation system for residual cancer detection in breast surgery._x000d_
Keyword
NSERC
Application summary
Breast cancer affects 1 in 8 women during their lives and is the second-leading cause of female cancer related deaths. The ideal treatment is breast-conservation surgery , during its early stage, to remove cancer while conserving healthy tissue. Unfortunately, the current resection methods have high positive margin rates (when cancer cells are found on the edge of the resected specimen) of up to nearly 40%. Positive margins are linked to high probability of recurrence and thus require repeat surgery. On average, one out of every three women undergoing breast-conservation surgery needs at least one additional surgery due to positive margins. Repeat surgery leads to increased risk of postoperative complications, impaired cosmetics, delayed radiation therapy, increased psychological distress, and increased costs and risks of a second general anesthesia. Repeat surgery often leads to full mastectomy, which is a traumatic experience for a patient who expected a curative treatment with breastconservation. Through development of a unique surgical navigation system that integrates intra-operative ultrasound imaging with an acoustic spectroscopy technique, we intend to ensure that the resection cavity is clear of cancer before releasing the patient from the operating table. We take advantage of conventional ultrasound scanners, while building a unique spectroscopic-ultrasound probe, and thus the resulting system will be affordable and accessible to all care facilities in Canada. The proposed system should enable significant reduction in positive margin rates, thereby reducing the number of repeat surgeries, and yielding significant quality of life benefits to patients and a significant reduction in health care costs.