NCT06317181 Assessment of Liver Diseases Using a Deep-Learning Approach Based on Ultrasound RF-Data
| NCT ID | NCT06317181 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Technische Universität Dresden |
| Condition | Artificial Intelligence |
| Study Type | INTERVENTIONAL |
| Enrollment | 200 participants |
| Start Date | 2024-04-01 |
| Primary Completion | 2025-10 |
Eligibility & Interventions
Eligibility Fast-Check
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What to Expect as a Participant
You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.
This trial targets 200 participants in total. It began in 2024-04-01 with a primary completion date of 2025-10.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
The goal of this clinical trial is to test the performance of neuronal networks trained on ultrasonic raw Data (=radiofrequency data) for the assessment of liver diseases in patients undergoing a clinical ultrasound examination. The general feasibility is currently evaluated in a retrospective cohort. The main questions the study aims to answer are: * Can a neuronal network trained on RF Data perform equally good as elastography in the assessment of diffuse liver diseases? * Can a neuronal network trained on RF Data perform better than a neuronal network trained on b-mode images in the assessment of diffuse liver diseases? * Can a neuronal network trained on RF Data distinguish focal pathologies in the liver from healthy tissue? To answer these questions participants with a clinically indicated fibroscan will undergo: * a clinical elastography in Case ob suspected diffuse liver disease * a reliable ground truth (if normal ultrasound is not sufficient e.g. contrast enhanced ultrasound, biopsy, MRI or CT) in case of focal liver diseases, depending on the standard routine of the participating center * a clinical ultrasound examination during which b-mode images and the corresponding RF-Data sets are captured
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)
Contact & Investigator
Moritz Herzog, MD
PRINCIPAL INVESTIGATOR
University Hospital Dresden
Frequently Asked Questions
Who can join the NCT06317181 clinical trial?
This trial is open to participants of all sexes, aged 18 Years or older, studying Artificial Intelligence. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT06317181 currently recruiting?
Yes, NCT06317181 is actively recruiting participants. Contact the research team at moritz.herzog@ukdd.de for enrollment information.
Where is the NCT06317181 trial being conducted?
This trial is being conducted at Dresden, Germany, Dresden, Germany, Halle, Germany, Leipzig, Germany.
Who is sponsoring the NCT06317181 clinical trial?
NCT06317181 is sponsored by Technische Universität Dresden. The principal investigator is Moritz Herzog, MD at University Hospital Dresden. The trial plans to enroll 200 participants.