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

Recruiting

• Conditions: Contrast-enhanced Ultrasound; Focal Liver Lesions

• Registration Number: NCT04682886
• Lead Sponsor: Ping Liang

Brief 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2017-01-01
• Status Verified: 2020-12
• Study First Submitted: 2020-12-21
• Study First Submitted QC: 2020-12-21
• Last Update Submitted: 2020-12-21
• Study First Posted: 2020-12-24
• Last Update Posted: 2020-12-24
• Primary Completion: 2024-12-31
• Study Completion: 2025-12-31

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 5000

Inclusion Criteria

1. patients with a solid liver tumor visible during routine ultrasound and received CEUS.
2. disease history and standard of reference of the lesions can be acquired

Exclusion Criteria

1. hypersensitivity for ultrasound contrast media
2. pregnant or lactating patients
3. previously treated lesions or local relapse from previously treated lesions
4. diffuse tumors

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
specificity	through study completion, an average of 7 year	diagnosis specificity of intelligent CEUS analysis
AUC value	through study completion, an average of 7 year	Area under the receiver operating characteristic (ROC) curve (AUC）
sensitivity	through study completion, an average of 3 year	diagnosis sensitivity of intelligent ultrasound analysis

Trial Locations

Locations (1)

Chinese PLA General Hospital; 🇨🇳 Beijing, Beijing, China