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Determination of liver tumours and renal cysts in contrast-enhanced sonography using artificial intelligence methods (CEUS-AI)

Determination of liver tumours and renal cysts in contrast-enhanced sonography using artificial intelligence methods (CEUS-AI) - CEUS-AI

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00023897
Enrollment
800
Registered
2020-12-23
Start date
2021-09-07
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

C22 N28

Interventions

Group 1: The examination procedure corresponds to the routine ultrasound examination in the ultrasound centre of the respective clinic according to a standardised examination protocol. There will be n

Sponsors

Klinik und Poliklinik für Radiologie
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. contrast-enhanced US examination in patients with liver space involvement or complex renal cysts. 2. written informed consent from the patient. 3. age = 18 years

Exclusion criteria

Exclusion criteria: 1. examination not feasible or discontinued (e.g. in case of allergic reaction or refusal by the study participant). 2. missing data (incompletely documented images of the study) 3. pregnancy (relative contraindication) 4. contraindications for ultrasound CM

Design outcomes

Primary

MeasureTime frame
The aim of the planned prospective study is to develop an automated detection and classification of liver lesions using CEUS with AI methods.

Secondary

MeasureTime frame
The secondary goal is the transfer of the AI algorithms in the context of complex renal cyst diagnostics. Here, the algorithm should enable the characterisation of renal cysts.

Countries

Germany

Contacts

Public ContactDirk-André Clevert

Klinik und Poliklinik für Radiologie

dirk.clevert@med.uni-muenchen.deDE 089-4400-73620

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026