NCT04682886

Radiomics Analysis of Focal Liver Lesions Based on Contrast-Enhanced Ultrasound Imaging

Research on Key Techniques for Intelligent Diagnosis and Ablation Decision-making of Liver Cancer and Evolution by Contrast-enhanced Ultrasound

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 5,000 (estimated)
• Sponsor: Ping Liang · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

Contrast-enhanced ultrasound (CEUS) substantially improves the potential of ultrasound (US) for the identification and characterization of focal liver lesions (FLLs). Compared to contrasted-enhanced MRI and CT, it has some unique advantages, such as the absence of ionizing radiation, and easy operability and repeatability. However, the efficacy of CEUS in diagnosing liver lesions is challenged by several factors including being highly dependent on doctor's experience, low signal-to-noise ratio, and low interobserver agreement. Therefore, it is a beneficial attempt to construct an intelligent CEUS diagnosis system using digital information technology. This study aims to collect standard data of CEUS cines recordings and develop deep learning model for accurate segmentation, detection and classification of liver lesions.

Conditions

• Focal Liver Lesions
• Contrast-enhanced Ultrasound

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	diagnosis	there is no intervention diagnosis or treatment for patients

Timeline

• Start date: 2017-01-01
• Primary completion: 2024-12-31
• Completion: 2025-12-31
• First posted: 2020-12-24
• Last updated: 2020-12-24

Locations

1 site across 1 country: China