Grant: Collaborative Health Research Projects
École Polytechnique de Montréal
$157,701.00
Image-Guided Molecular Optical Spectroscopy for Tumor-Targeted Prostate Cancer Interventions
EF 2019-20
Résumé
Confirming the location, extent, and grade of prostate cancer for diagnostic and therapeuticpurposes remains challenging due to the architectural and phenotypic heterogeneity. In thecase of blind systematic ultrasound-guided biopsies, this leads to more than 30% of falsenegative rates, while for tumor-targeted (focal) therapies such as brachytherapy, theirsuccess hinge on precise mapping of MRI cancer targets to provide the gross tumor location,but lack molecular information at the treatment location, without accurate grading of the tumorand can lead to a poor balance of toxicities. Therefore, there is no existing medicaltechnologies addressing the timely confirmation of tumor location/grade during therapy. Ourobjective is to develop an image-guidance system integrating real-time molecular tissuecharacterization with an optical Raman spectroscopy (RS) instrument for tumor-targetedprostate cancer interventions, improving tumor localization and characterization. Specifically,we will develop and conduct first in-human studies using a real-time navigation platformtechnology allowing for high-precision and tumor-specific harvesting of samples during biopsyprocedures. Four research aims will be completed to insure in-human translation of thetechnology into to our partners Elekta and Philips Canada within 3 years: (1) Develop a fiberoptics RS needle device for tissue characterization to guide prostate interventions; (2) Trainsupervised machine-learning algorithms from spectral RS signatures to infer biologicalproperties; (3) Implement an integrated image-guidance platform with real-time RS tissueclassification and needle tracking to identified MRI targets with prostate motion compensation;(4) Conduct a pilot clinical study patients with localized PCa visible on MRI and who willundergo HDR brachytherapy. Ultimately, we will have a high-end technique clinically tested inprostate interventions for practical molecular identification and cancer detection.
Programme
Collaborative Health Research Projects
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
523532-2018
Name nom
Kadoury, Samuel
Department département
Génie informatique et génie logiciel
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
2019
Competition year année de concours
2018
Award amount
157701
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
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
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Installment
inst:2 - 3
Partie
2
Nb partie
3
Application title
Image-Guided Molecular Optical Spectroscopy for Tumor-Targeted Prostate Cancer Interventions
Keyword
NSERC
Application summary
Confirming the location, extent, and grade of prostate cancer for diagnostic and therapeuticpurposes remains challenging due to the architectural and phenotypic heterogeneity. In thecase of blind systematic ultrasound-guided biopsies, this leads to more than 30% of falsenegative rates, while for tumor-targeted (focal) therapies such as brachytherapy, theirsuccess hinge on precise mapping of MRI cancer targets to provide the gross tumor location,but lack molecular information at the treatment location, without accurate grading of the tumorand can lead to a poor balance of toxicities. Therefore, there is no existing medicaltechnologies addressing the timely confirmation of tumor location/grade during therapy. Ourobjective is to develop an image-guidance system integrating real-time molecular tissuecharacterization with an optical Raman spectroscopy (RS) instrument for tumor-targetedprostate cancer interventions, improving tumor localization and characterization. Specifically,we will develop and conduct first in-human studies using a real-time navigation platformtechnology allowing for high-precision and tumor-specific harvesting of samples during biopsyprocedures. Four research aims will be completed to insure in-human translation of thetechnology into to our partners Elekta and Philips Canada within 3 years: (1) Develop a fiberoptics RS needle device for tissue characterization to guide prostate interventions; (2) Trainsupervised machine-learning algorithms from spectral RS signatures to infer biologicalproperties; (3) Implement an integrated image-guidance platform with real-time RS tissueclassification and needle tracking to identified MRI targets with prostate motion compensation;(4) Conduct a pilot clinical study patients with localized PCa visible on MRI and who willundergo HDR brachytherapy. Ultimately, we will have a high-end technique clinically tested inprostate interventions for practical molecular identification and cancer detection.