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Grant: Collaborative Health Research Projects

Queen's University

$237,556.00

Robotic breast cancer surgery

EF 2020-21

Résumé
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 the cancer while conserving healthy parts of the breast. Wirth current resection methods, on average, one out of every three women undergoing breastconservation surgery needs at least one additional surgery due incomplete tumor resection. Repeat surgery leads to increased risk of postoperative complications, impaired cosmetics, delayed radiation therapy, increased psychological distress, and increased costs and risks of undergoing 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. As early stage breast cancer is not palpable or visible, surgeons tend to apply generous safety margins around the target tumor and remove a great deal of healthy breast tissue. In current practice, up to 40% of patients who undergo breast-conservation surgery experience severe breast deformity that requires surgical reconstruction, but over half of these women do not get treated due to lack reconstructive surgical capacity. In this research, we aim to develop NaviKnife, a next-generation breast conserving surgery navigation system to achieve complete tumor resection with minimal tissue loss. NaviKnife builds on novel multiparametric ultrasound imaging to accurately target the cancer prior to resection and novel real-time metabolomic tissue typing to identify and trace the tumor boundary during resection while guided by a simple robotic arm. NaviKnife assists the surgeon in precise tumor resection and allows for systematic probing of the resection cavity for residual cancer and, if necessary, guides the surgeon in targeted shaving of the cavity wall with minimal loss of healthy tissue, thus guaranteeing complete tumor removal before the wound is closed.
Programme
Collaborative Health Research Projects
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
549590-2020
Name nom
Fichtinger, Gabor
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
2020
Award amount
237556
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
1900
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical engineering
Research subject fr
Génie biomédical
Installment
inst:1 - 2
Partie
2
Nb partie
2
Application title
Robotic breast cancer surgery
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 the cancer while conserving healthy parts of the breast. Wirth current resection methods, on average, one out of every three women undergoing breastconservation surgery needs at least one additional surgery due incomplete tumor resection. Repeat surgery leads to increased risk of postoperative complications, impaired cosmetics, delayed radiation therapy, increased psychological distress, and increased costs and risks of undergoing 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. As early stage breast cancer is not palpable or visible, surgeons tend to apply generous safety margins around the target tumor and remove a great deal of healthy breast tissue. In current practice, up to 40% of patients who undergo breast-conservation surgery experience severe breast deformity that requires surgical reconstruction, but over half of these women do not get treated due to lack reconstructive surgical capacity. In this research, we aim to develop NaviKnife, a next-generation breast conserving surgery navigation system to achieve complete tumor resection with minimal tissue loss. NaviKnife builds on novel multiparametric ultrasound imaging to accurately target the cancer prior to resection and novel real-time metabolomic tissue typing to identify and trace the tumor boundary during resection while guided by a simple robotic arm. NaviKnife assists the surgeon in precise tumor resection and allows for systematic probing of the resection cavity for residual cancer and, if necessary, guides the surgeon in targeted shaving of the cavity wall with minimal loss of healthy tissue, thus guaranteeing complete tumor removal before the wound is closed.