Actively Recruiting
A Prototype AI Algorithm Versus Liver Imaging Reporting and Data System (LI-RADS) Criteria in Diagnosing HCC on CT
Led by The University of Hong Kong · Updated on 2024-10-29
250
Participants Needed
2
Research Sites
156 weeks
Total Duration
On this page
Sponsors
T
The University of Hong Kong
Lead Sponsor
E
Education University of Hong Kong
Collaborating Sponsor
AI-Summary
What this Trial Is About
This study aims to prospective validate this AI algorithm in comparison with the current standard of radiological reporting in a randomized manner in the at-risk population undergoing triphasic contrast CT. This research project is totally independent and separated from the actual clinical reporting of the CT scan by the duty radiologist. The primary study outcome is to compare the diagnostic performance of the prototype AI algorithm versus LI-RADS criteria in determining HCC on CT in the at-risk population.
CONDITIONS
Official Title
A Prototype AI Algorithm Versus Liver Imaging Reporting and Data System (LI-RADS) Criteria in Diagnosing HCC on CT
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 years or older
- At-risk population requiring regular liver ultrasonography surveillance
- Cirrhotic patients of any disease cause
- Chronic hepatitis B patients: men aged 40 or older, women aged 50 or older, or those with family history of hepatocellular carcinoma
- At least one new liver nodule detected on liver ultrasound
You will not qualify if you...
- Liver nodules smaller than 1 cm
- Contraindications to contrast CT imaging, including history of contrast allergy or kidney function with glomerular filtration rate below 30 ml/min
- Prior transarterial chemoembolization or other liver procedures involving intrahepatic lipiodol injection
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 2 locations
1
Department of Medicine and Department of Surgery, The University of Hong Kong, Queen Mary Hospital
Hong Kong, Hong Kong
Actively Recruiting
2
Department of Medicine, The University of Hong Kong, Queen Mary Hospital
Hong Kong, Hong Kong
Not Yet Recruiting
Research Team
W
Wai-Kay Seto, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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