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

Recruiting

• Conditions: C22; N28; Malignant neoplasm of liver and intrahepatic bile ducts; Other disorders of kidney and ureter, not elsewhere classified

• Registration Number: DRKS00023897
• Lead Sponsor: Klinik und Poliklinik für Radiologie

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2020-12-23
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 800

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

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

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

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

Secondary Outcome Measures

Name	Time	Method
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.