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Grant: Operating Grant

University of British Columbia

$627,332.00

Multi-parametric MRI for prostate cancer diagnosis and prognosis

EF 2010-11

Résumé
Prostate cancer remains one of the most common cancers in North American males and second leading cause of cancer related deaths in men. It is estimated that this year 25,500 men will be diagnosed in Canada alone with upwards of 4,000 deaths. Owing to the widespread use of screening tests, many more less advanced, localized, lower risk prostate cancers are being detected. This prompted increased interest in focal therapy as an alternative to the traditional therapies of surgery and radiation therapy. However, the ultimate success of focal therapy relies on proper patient selection and adequate characterization of the tumour's location, extend and histological grade. We have shown that a combination of different Magnetic Resonance Imaging (MRI) techniques have significantly better accuracy of prostate cancer diagnosis than either technique alone. We propose to further develop this MRI technology. Specifically, we will develop a technique called Magnetic Resonance Elastography (MRE). This technique allows non-invasive measurements of mechanical properties of tissue, and is often called "remote palpation". We believe that the combination of MRE and the MRI techniques we have developed so far will significantly improve prostate cancer diagnosis. In addition, we will develop a computer program capable of accurately predicting the tumour's location, volume and pathological grade based on the MRI/MRE measurements. The combination of the proposed MRI/MRE technology with this computer program will facilitate patient selection for focal prostate cancer therapy. We also propose to test the ability of this technology to predict outcome of the combined modality treatment.
Programme
Operating Grant
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
226573
Name
Kozlowski Piotr
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Medical Physics & Imaging
Projecttitle
Multi-parametric MRI for prostate cancer diagnosis and prognosis
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$627,332
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Diffusion Tensor Imaging; Dynamic Contrast Enhanced Mri; Prostate Cancer; Tissue Classification
Abstract
Prostate cancer remains one of the most common cancers in North American males and second leading cause of cancer related deaths in men. It is estimated that this year 25,500 men will be diagnosed in Canada alone with upwards of 4,000 deaths. Owing to the widespread use of screening tests, many more less advanced, localized, lower risk prostate cancers are being detected. This prompted increased interest in focal therapy as an alternative to the traditional therapies of surgery and radiation therapy. However, the ultimate success of focal therapy relies on proper patient selection and adequate characterization of the tumour's location, extend and histological grade. We have shown that a combination of different Magnetic Resonance Imaging (MRI) techniques have significantly better accuracy of prostate cancer diagnosis than either technique alone. We propose to further develop this MRI technology. Specifically, we will develop a technique called Magnetic Resonance Elastography (MRE). This technique allows non-invasive measurements of mechanical properties of tissue, and is often called "remote palpation". We believe that the combination of MRE and the MRI techniques we have developed so far will significantly improve prostate cancer diagnosis. In addition, we will develop a computer program capable of accurately predicting the tumour's location, volume and pathological grade based on the MRI/MRE measurements. The combination of the proposed MRI/MRE technology with this computer program will facilitate patient selection for focal prostate cancer therapy. We also propose to test the ability of this technology to predict outcome of the combined modality treatment.
Competitiondate
201103
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Kozlowski, Piotr
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $627,332~ $0~