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

NARecruitingINTERVENTIONAL
Enrollment

200

Participants

Timeline

Start Date

April 1, 2024

Primary Completion Date

October 31, 2025

Study Completion Date

December 31, 2025

Conditions
Artificial IntelligenceUltrasonographyElasticity Imaging TechniquesLiver DiseasesMetastasis to Liver
Interventions
DEVICE

Collection of elastography data

patients who are scheduled for an elastography for clinical reasons usually receive an ultrasound scan in which the b-mode images of the liver tissue are collected. In this study additional radiofrequency data is collected through a software access.

DEVICE

Collection of ultrasonic raw data

Patients who are transferred to the ultrasound departement due to suspicious focal lesions receive an ultrasonic investigation including the acquisition of raw data and extracting a definitive diagnose from the following clinical routine investigation, depending on the standards of the participating center

Trial Locations (4)

01307

RECRUITING

University Hospital, Dresden

Unknown

RECRUITING

Diakonissen Hospital Dresden, Dresden

RECRUITING

University Hospital Halle (Saale), Halle

RECRUITING

University Hospital Leipzig, Leipzig

All Listed Sponsors
collaborator

University Hospital Dresden

OTHER

collaborator

University of Leipzig

OTHER

lead

Technische Universität Dresden

OTHER