NCT04682886

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

Status unknown Last updated 24 December 2020

What this trial tests

trial testing diagnosis in Focal Liver Lesions in 5,000 participants. Status unknown.

Timeline

1 January 2017

Primary endpoint
31 December 2024

31 December 2025

Quick facts

Lead sponsor	Ping Liang
Status	Status unknown
Study type	OBSERVATIONAL
Enrollment	5,000
Start date	1 January 2017
Primary completion	31 December 2024
Estimated completion	31 December 2025
Sites	1 location across China

Drugs / interventions tested

• diagnosis

Conditions studied

• Focal Liver Lesions — all drugs for Focal Liver Lesions →
• Contrast-enhanced Ultrasound — all drugs for Contrast-enhanced Ultrasound →

Sponsor

Ping Liang

Who can join

Eligibility, any sex, with Focal Liver Lesions or Contrast-enhanced Ultrasound. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

4 peer-reviewed publications reference this trial (live from Europe PMC):

1. Contrast-enhanced ultrasound-based AI model for multi-classification of focal liver lesions.
   Ding W, Meng Y, Ma J, Pang C, et al · · 2025 · cited 16× · PMID 39848548 · DOI 10.1016/j.jhep.2025.01.011
2. Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System in Hepatocellular Carcinoma ≤5 cm: Biological Characteristics and Patient Outcomes.
   Cai WJ, Ying M, Zheng RQ, Liao J, et al · · 2023 · cited 11× · PMID 37817756 · DOI 10.1159/000527498
3. Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma and Associated Prognosis Using Contrast-enhanced US and Clinical Features.
   Wu J, Liu S, Zhang Y, Ding W, et al · · 2025 · cited 2× · PMID 40607931 · DOI 10.1148/rycan.240419
4. Improving Detection of Intrahepatic Cholangiocarcinoma with a Contrast-enhanced US-based Deep Learning Model.
   Ding W, Li B, Zhao L, Zheng L, et al · · 2025 · cited 1× · PMID 41236388 · DOI 10.1148/rycan.250078