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RECRUITING
NCT06626087
NA

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

View on ClinicalTrials.gov

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

Interventions

DIAGNOSTIC_TEST

Prototype artificial intelligence algorithm

Developed by the University of Hong Kong

DIAGNOSTIC_TEST

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