Focal Liver Lesions Clinical Trial
Official title:
Research on Key Techniques for Intelligent Diagnosis and Ablation Decision-making of Liver Cancer and Evolution by Contrast-enhanced Ultrasound
NCT number | NCT04682886 |
Other study ID # | 82030047 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | January 1, 2017 |
Est. completion date | December 31, 2025 |
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.
Status | Recruiting |
Enrollment | 5000 |
Est. completion date | December 31, 2025 |
Est. primary completion date | December 31, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility | 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 |
Country | Name | City | State |
---|---|---|---|
China | Chinese PLA General Hospital | Beijing | Beijing |
Lead Sponsor | Collaborator |
---|---|
Ping Liang |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | AUC value | Area under the receiver operating characteristic (ROC) curve (AUC) | through study completion, an average of 7 year | |
Primary | specificity | diagnosis specificity of intelligent CEUS analysis | through study completion, an average of 7 year | |
Primary | sensitivity | diagnosis sensitivity of intelligent ultrasound analysis | through study completion, an average of 3 year |
Status | Clinical Trial | Phase | |
---|---|---|---|
Not yet recruiting |
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