Grant: Project Grant
Sunnybrook Research Institute (Toronto, Ontario)
$100,000.00
Quantitative Ultrasound for A Priori Breast Cancer Chemotherapy Response Prediction
EF 2017-18
Résumé
The proposed research will distinguish deadly from non-deadly breast cancers by using new methods in quantitative ultrasound to determine which tumours will respond to chemotherapy and which ones will not.
Quantitative ultrasound is a specialized method that can provide objective information about breast tumours and their composition. We have recently discovered that quantitative ultrasound can be used to predict tumor response to chemotherapy in advance of a patient receiving treatment. In the study, here, we will further investigate that discovery in patients.
We will determine which quantitative ultrasound parameters best predict tumour response. The work will be conducted by obtaining quantitative ultrasound scans in 150 patients before they receive chemotherapy "up front" for their tumours. Patient responses to treatment will be tracked. We will use computer methods to analyze patient ultrasound scans and determine which parameters are best linked to the response of a tumor to chemotherapy. We will then scan an additional 150 patients and track their outcomes after treatment in order to determine how well the parameters predict tumour response. The work will take place first in women with large advanced breast tumours and then in women with smaller breast cancers.
At the end of the work our goal is to have an ultrasound tool that can be used to determine whether a patient is going to respond favorably to their chemotherapy. If a tumour is determined to be a poor responder, the planned chemotherapy can be switched to a different regimen and care can be personalized for the patient.
Programme
Project Grant
Bénéficiaire
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
379020
Name
Czarnota Gregory J
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Medical Physics & Imaging
Projecttitle
Quantitative Ultrasound for A Priori Breast Cancer Chemotherapy Response Prediction
Programtype2
Operating Grants
Orgnameinp2
Sunnybrook Research Institute (Toronto, Ontario)
Cihramount2
$100,000
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Chemotherapy; Quantitative Ultrasound; Response Prediction
Abstract
The proposed research will distinguish deadly from non-deadly breast cancers by using new methods in quantitative ultrasound to determine which tumours will respond to chemotherapy and which ones will not.
Quantitative ultrasound is a specialized method that can provide objective information about breast tumours and their composition. We have recently discovered that quantitative ultrasound can be used to predict tumor response to chemotherapy in advance of a patient receiving treatment. In the study, here, we will further investigate that discovery in patients.
We will determine which quantitative ultrasound parameters best predict tumour response. The work will be conducted by obtaining quantitative ultrasound scans in 150 patients before they receive chemotherapy "up front" for their tumours. Patient responses to treatment will be tracked. We will use computer methods to analyze patient ultrasound scans and determine which parameters are best linked to the response of a tumor to chemotherapy. We will then scan an additional 150 patients and track their outcomes after treatment in order to determine how well the parameters predict tumour response. The work will take place first in women with large advanced breast tumours and then in women with smaller breast cancers.
At the end of the work our goal is to have an ultrasound tool that can be used to determine whether a patient is going to respond favorably to their chemotherapy. If a tumour is determined to be a poor responder, the planned chemotherapy can be switched to a different regimen and care can be personalized for the patient.
Competitiondate
201710
Approvedterm2
1 yr 0 mth
Pinamesdelim
Czarnota, Gregory J; Kolios, Michael C
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $100,000~ $0~