Grant: Project Grant
Centre hospitalier de l'Université de Montréal (CHUM)
$1,014,120.00
Quantitative ultrasound to improve detection and diagnosis of liver cancer
EF 2023-24
Résumé
Worldwide, liver cancers are the third most common cause of cancer mortality. Even when liver cancer is suspected by blood tests, imaging is required to determine the location, size, and extent of disease. Medical societies therefore recommend surveillance with ultrasound every 6 months in at-risk patients. However, a key challenge to improving the survival is that ultrasound may miss half of early-stage liver cancers, thus diagnosis must rely on additional tests such as computed tomography (CT), magnetic resonance imaging (MRI), or biopsy. Hence, there is a clear need to improve the ability to detect liver cancers, especially with ultrasound. Our team proposes novel ultrasound approaches to detect cancer nodules invisible on conventional ultrasound based on differences in mechanical and structural properties between liver and tumor. Improving detection is critical because liver cancer can be cured only if detected at an early stage, as shown by improvements in survival rates in patients enrolled in surveillance programs. Our multi-disciplinary, national, and international team includes experts in clinical fields (hepatology, oncology, radiology, pathology), basic sciences (engineering, medical physics, machine learning, biostatistics), and patient partnership. We will apply the methodology of patient partner recruitment and collaborate with the Centre of Excellence on Partnership with Patients and the Public to select potential new collaborators. This will permit this project to be informed at every stage by patient and family perspectives, ensuring that the results of this project will be more robust, impactful, and aligned with the priorities, needs and experiences of those who live with liver cancer. We submit a research proposal focused on advanced imaging techniques because imaging constitutes a foundation for surveillance, diagnosis, staging, treatment selection and assessment of treatment response in patients with liver cancer.
Programme
Project Grant
Emplacement
Quebec, Canada
Type de bénéficiaire
Not-for-profit organization or charity
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
490038
Name
Tang An
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Clinical
Prcname2
Tri-Agency Interdisciplinary - CIHR TIR
Projecttitle
Quantitative ultrasound to improve detection and diagnosis of liver cancer
Programtype2
Operating Grants
Orgnameinp2
Centre hospitalier de l'Université de Montréal (CHUM)
Cihramount2
$1,014,120
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Diagnosis; Diagnostic Performance; Elastography; Hepatocellular Carcinoma; Liver Cancer; Quantitative Ultrasound (Qus); Screening; Surveillance; Ultrasound; Viscoelastography
Abstract
Worldwide, liver cancers are the third most common cause of cancer mortality. Even when liver cancer is suspected by blood tests, imaging is required to determine the location, size, and extent of disease. Medical societies therefore recommend surveillance with ultrasound every 6 months in at-risk patients. However, a key challenge to improving the survival is that ultrasound may miss half of early-stage liver cancers, thus diagnosis must rely on additional tests such as computed tomography (CT), magnetic resonance imaging (MRI), or biopsy. Hence, there is a clear need to improve the ability to detect liver cancers, especially with ultrasound. Our team proposes novel ultrasound approaches to detect cancer nodules invisible on conventional ultrasound based on differences in mechanical and structural properties between liver and tumor. Improving detection is critical because liver cancer can be cured only if detected at an early stage, as shown by improvements in survival rates in patients enrolled in surveillance programs. Our multi-disciplinary, national, and international team includes experts in clinical fields (hepatology, oncology, radiology, pathology), basic sciences (engineering, medical physics, machine learning, biostatistics), and patient partnership. We will apply the methodology of patient partner recruitment and collaborate with the Centre of Excellence on Partnership with Patients and the Public to select potential new collaborators. This will permit this project to be informed at every stage by patient and family perspectives, ensuring that the results of this project will be more robust, impactful, and aligned with the priorities, needs and experiences of those who live with liver cancer. We submit a research proposal focused on advanced imaging techniques because imaging constitutes a foundation for surveillance, diagnosis, staging, treatment selection and assessment of treatment response in patients with liver cancer.
Competitiondate
202309
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Tang, An; Cloutier, Guy
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,014,120~ $0~