NCT05257694

Clinical Decision Biological Biomarker and Prognosis Prediction of Hepatocellular Carcinoma by Deep Learning

A Deep Learning Model Based on Contrast-enhanced Ultrasound to Aid Clinical Decisions and Predict Biological Biomarker and Prognosis of Hepatocellular Carcinoma

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 1 (estimated)
• Sponsor: Ping Liang · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions

Detailed description

Collecting CEUS and clinical data of HCC from different institutions retrospectively. Developing a deep learning model based on CEUS to predict the prognosis of HCC. Developing a deep learning model based on CEUS to choose a better operation (ablation or surgery) of HCC patients. Then, validating the deep learning model in the prospective data.

Conditions

• Hepatocellular Carcinoma
• Contrast-enhanced Ultrasound
• Prognosis
• Surgery
• Ablation

Interventions

Type	Name	Description
PROCEDURE	Surgery	hepatectomy
PROCEDURE	Ablation (Microwave ablation or Radiofrequency ablation)	image-guided ablation

Timeline

• Start date: 2022-01-01
• Primary completion: 2025-12-31
• Completion: 2025-12-31
• First posted: 2022-02-25
• Last updated: 2022-10-21

Locations

1 site across 1 country: China