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A Prototype AI Algorithm Versus Liver Imaging Reporting and Data System (LI-RADS) Criteria in Diagnosing HCC on CT
Sponsor: The University of Hong Kong
Summary
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.
Official title: A Prototype Artificial Intelligence Algorithm Versus Liver Imaging Reporting and Data System (LI-RADS) Criteria in Diagnosing Hepatocellular Carcinoma on Computed Tomography: a Randomized Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
250
Start Date
2023-11-01
Completion Date
2026-10-31
Last Updated
2024-10-29
Healthy Volunteers
No
Conditions
Interventions
Prototype artificial intelligence algorithm
Developed by the University of Hong Kong
LI-RADS
The Liver Imaging Reporting and Data System (LIRADS) was established to standardize the lexicon, interpretation and communication of radiological findings related to HCC
Locations (2)
Department of Medicine and Department of Surgery, The University of Hong Kong, Queen Mary Hospital
Hong Kong, Hong Kong
Department of Medicine, The University of Hong Kong, Queen Mary Hospital
Hong Kong, Hong Kong