Assessment of Liver Diseases Using a Deep-Learning Approach Based on Ultrasound RF-Data

Launched by TECHNISCHE UNIVERSITÄT DRESDEN · Mar 15, 2024

Keywords

ClinConnect Summary

This clinical trial is exploring a new way to evaluate liver diseases using advanced technology called deep learning, which processes ultrasound data. The trial aims to see if a computer program trained with this data can assess liver conditions as effectively as traditional methods currently used, such as elastography, or even outperform them. Participants will be those scheduled for an ultrasound to check for liver issues, and the study will involve several tests including standard ultrasound exams and possibly other imaging techniques to confirm findings.

To be eligible for this trial, participants need to be between the ages of 65 and 74 and should not have had any recent liver procedures, like biopsies or contrast-enhanced ultrasounds. If you join the study, you can expect to undergo a routine ultrasound examination, where both standard images and special data will be collected to help researchers understand how well the computer program can identify liver problems. The research team is currently recruiting participants, so if this sounds like something you or a family member might be interested in, please discuss it with your doctor.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • scheduled for an ultrasound investigation by an independent physician
• • signed declaration of consent
• Exclusion Criteria:
• • smaller interventions in the same liver during the last 2 Week (for example liver biopsy)
• • contrast enhanced ultrasound less than a day ago
• • major intervention at the liver (for example partial resection)