Grant: Collaborative Health Research Projects
Queen's University
$55,900.00
RF Time Series Flashlight for Targeted Prostate Biopsy
EF 2015-16
Résumé
Prostate cancer remains the most common cancer diagnosed in men in Canada, with about 25,000 new cases per year.
Given the vagaries of early detection of prostate cancer (PCa) with the use of prostate specific antigen, there is an acute
need to enhance detection and grading of this malignancy in order to improve its clinical management. High grade PCa must
be diagnosed early and accurately to appropriately treat patients at higher risk of morbidity and mortality. Meanwhile, this
has to be balanced against over-treatment of low grade PCa which can be minimized via active surveillance. The gold
standard for PCa diagnosis and grading is Transrectal ultrasound (TRUS)-guided biopsy followed by pathology. TRUSguided
biopsy is performed by taking eight to 12 tissue samples from the prostate using a standard protocol that is blind to
individual patient anatomy or pathology and has a high rate of false negatives. Recent advancements in magnetic resonance
imaging (MRI) have helped improve high grade PCa detection rate. Unfortunately, MRI alone is not able to accurately
diagnose PCa. In addition, cancer foci identified in MR have to be accurately located during TRUS-guided biopsy. Currently,
this requires either sophisticated mechanical platforms to guide the biopsy needles or, if performed by software, does not
fully account for patient motion or organ deformation occurring during biopsy.
We propose a turnkey technology we name RF Flashlight, where information from a time series of ultrasound RF signals is
used along with MR information in order to improve the detection of high grade cancer for clinical intervention. We also
design advanced ultrasound imaging methods to enable localization of cancer foci identified by MRI in freehand biopsy; our
method compensates for patient or clinician motion. This technology has the potential to positively and rapidly impact the
lives of all patients.
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
462493-2014
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
2015
Competition year année de concours
2014
Award amount
55900
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
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
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
2
Nb partie
3
Application title
RF Time Series Flashlight for Targeted Prostate Biopsy
Keyword
NSERC
Application summary
Prostate cancer remains the most common cancer diagnosed in men in Canada, with about 25,000 new cases per year.
Given the vagaries of early detection of prostate cancer (PCa) with the use of prostate specific antigen, there is an acute
need to enhance detection and grading of this malignancy in order to improve its clinical management. High grade PCa must
be diagnosed early and accurately to appropriately treat patients at higher risk of morbidity and mortality. Meanwhile, this
has to be balanced against over-treatment of low grade PCa which can be minimized via active surveillance. The gold
standard for PCa diagnosis and grading is Transrectal ultrasound (TRUS)-guided biopsy followed by pathology. TRUSguided
biopsy is performed by taking eight to 12 tissue samples from the prostate using a standard protocol that is blind to
individual patient anatomy or pathology and has a high rate of false negatives. Recent advancements in magnetic resonance
imaging (MRI) have helped improve high grade PCa detection rate. Unfortunately, MRI alone is not able to accurately
diagnose PCa. In addition, cancer foci identified in MR have to be accurately located during TRUS-guided biopsy. Currently,
this requires either sophisticated mechanical platforms to guide the biopsy needles or, if performed by software, does not
fully account for patient motion or organ deformation occurring during biopsy.
We propose a turnkey technology we name RF Flashlight, where information from a time series of ultrasound RF signals is
used along with MR information in order to improve the detection of high grade cancer for clinical intervention. We also
design advanced ultrasound imaging methods to enable localization of cancer foci identified by MRI in freehand biopsy; our
method compensates for patient or clinician motion. This technology has the potential to positively and rapidly impact the
lives of all patients.