A Deep Learning Model Based on Contrast-enhanced Ultrasound to Aid Clinical Decisions and Predict Biological Biomarker and Prognosis of Hepatocellular Carcinoma
Status: Recruiting
Location: See location...
Intervention Type: Procedure
Study Type: Observational
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
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:
• patients with HCC (Ia, Ib, IIa stage) China liver cancer staging who underwent resection or ablation
• without macro-vascular invasion
• Child-Pugh A/B grade
• HCC is proved by pathological examination or two enhanced imaging
• CEUS (Sonovue or Sonozoid) images are performed two weeks before the operation
• Invasive biomarker or prognosis of HCC available
• CEUS images are included in at least three stages (Arterial phase, Portal phase, and Late phase)
Locations
Other Locations
China
Chinese PLA General Hospital
RECRUITING
Beijing
Contact Information
Primary
Ping Liang, Dr.
liangping301@hotmail.com
+86 10 66939530
Backup
jiapeng wu, Dr.
wjpdabao@126.com
+86 13079692188
Time Frame
Start Date: 2022-01-01
Estimated Completion Date: 2025-12-31
Participants
Target number of participants: 1
Related Therapeutic Areas
Sponsors
Leads: Ping Liang