Risk Stratification of Hepatocarcinogenesis Using a Deep Learning Based Clinical, Biological and Ultrasound Model in High-risk Patients

NACompletedINTERVENTIONAL
Enrollment

400

Participants

Timeline

Start Date

September 1, 2021

Primary Completion Date

February 14, 2024

Study Completion Date

February 14, 2024

Conditions
Hepatocellular CarcinomaChronic Liver Disease
Interventions
OTHER

Video acquisition

One to three video acquisitions of 10 seconds will be carried out via the intercostal route. Data acquisition will be standardized according to a mandatory protocol and previously recorded in each ultrasound machine (cross shots, harmonic, filter, depth, focal length, mechanical index, etc.).

Trial Locations (6)

34090

CHU Montpellier, Montpellier

49100

CHU Angers, Angers

69003

Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon

69317

Groupement Hospitalier Nord, Hôpital de la Croix-Rousse, Lyon

92110

Hôpital Beaujon, Clichy

93000

Hôpital Avicenne, Bobigny

All Listed Sponsors
lead

IHU Strasbourg

OTHER

NCT04802954 - Risk Stratification of Hepatocarcinogenesis Using a Deep Learning Based Clinical, Biological and Ultrasound Model in High-risk Patients | Biotech Hunter | Biotech Hunter