NCT Number: NCT06345508
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. The investigator's 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. The investigator's 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. The investirgator 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. The investigator submits 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.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Montreal, Quebec, H2X 0A9, Canada
Location status: Recruiting
An Tang, MD, MSc
CONTACT
514-890-8000 ext. 36400
An Tang, MD, MSc
PRINCIPAL_INVESTIGATOR
Casey Bourdeau Caporuscio, MSc
CONTACT
514-890-8000 ext. 14756
BACKGROUND Worldwide, liver cancers are the third most common cause of cancer mortality. In Canada, hepatocellular carcinoma (HCC) is one of the few cancers for which mortality is increasing. Early detection of HCC improves the likelihood of curative treatment and survival. Systematic HCC surveillance with ultrasound (US) is recommended by practice guidelines. However, conventional (B-mode) US suffers from low sensitivity (47%) for detecting early-stage HCC due to fatty liver, obesity, and cirrhosis. Once a suspicious nodule is detected by US, guidelines recommend contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) to confirm cancer. Hence, there is an urgent need to improve the ability to detect and diagnose HCC early. Members of the investigator's team have developed innovative quantitative ultrasound (QUS) techniques (including shear wave viscoelastography [SWV] and sub-resolution cellular imaging) that have a high diagnostic potential. The investirgator hypothesizes that a combination of QUS techniques offering complementary assessment of tissue characteristics will improve our ability to detect liver nodules and diagnose HCC.
METHODOLOGY Design: Prospective, cross-sectional imaging trial comparing head-to-head B-mode US and research QUS acquired within one month to the composite reference standard. Reference standard: MRI will be used as the non-invasive ground truth for liver nodules detection and classification except when biopsy is available. Data analysis: Lesion detectability will be measured by contrast-to-noise ratio on US and QUS maps for different size thresholds (<10 mm, 10-20 mm, >20 mm) used in diagnostic algorithms. Diagnostic performance will be measured by receiver operating characteristic curve analysis on the training and test sets for different size thresholds. The diagnostic accuracy of US and QUS + B-mode US will be compared by using the DeLong method.
RATIONALE AND IMPACT Early detection through systematic US surveillance translates into curative therapy in a higher proportion of patients and into improvements in survival rates. This imaging trial will provide a low-cost imaging technique to identify liver cancers earlier and from a single exam. Unlike some other imaging techniques, US is widely available throughout Canada. A major impact of this work, for patients and medical institutions, will be to lower the need for liver biopsy, the risk of complications and the cost for HCC diagnosis. This trial will position Canada as a leader in HCC diagnosis as new QUS and SWV biomarkers will be tested.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Research quantitative ultrasound
Other names: QUS
B-mode US performed according to the clinical standard of care.
Other names: B-mode US
The composite reference standard includes MRI performed according to the clinical standard of care or histopathology when available.
Other names: MRI
The composite reference standard includes MRI performed according to the clinical standard of care or histopathology when available.
Time frame: Within one month of the composite reference test (conventional MRI or pathology).
Lesion detectability will be measured by contrast-to-noise ratio on US and QUS maps for different size thresholds (<10 mm, 10-20 mm, >20 mm) used in diagnostic algorithms
Time frame: Within one month of the composite reference test (conventional MRI or pathology).
Diagnostic performance will be measured by receiver operating characteristic curve analysis on the training and test sets for different size thresholds
Time frame: Within one month of the composite reference test (conventional MRI or pathology).
The diagnostic accuracy of US and QUS + B-mode US will be compared by using the DeLong method
Centre hospitalier de l'Université de Montréal (CHUM)
Other
Quantitative Ultrasound to Improve Detection and Diagnosis of Liver Cancer
Acronym: QUS in HCC
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