Status:
RECRUITING
Prediction of Significant Liver Fibrosis
Lead Sponsor:
Huang Haijun
Collaborating Sponsors:
East China University of Science and Technology
Conditions:
Liver Fibrosis
Eligibility:
All Genders
18-60 years
Brief Summary
The deep learning method based on convolutional neural network (CNN) was used to extract the relevant features of liver fibrosis classification from the multi-modal information of digital pathological...
Detailed Description
Patients with chronic hepatitis B underwent B-ultrasound-guided liver biopsy, and were divided into mild liver fibrosis group (fibrosis grade 0-1, S1), significant liver fibrosis group (fibrosis grade...
Eligibility Criteria
Inclusion
- Age of 18-60 years old
- The diagnosis of chronic hepatitis B is in line with the diagnostic criteria of China's 2019 Chronic Hepatitis B Prevention and Treatment Guidelines, and the diagnosis of non-alcoholic fatty liver is in line with the Asian Pacific Hepatology Association guidelines
- Imaging showed no liver cancer
Exclusion
- There are contraindications for liver biopsy
- Liver pathology did not meet the criteria
Key Trial Info
Start Date :
July 20 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2026
Estimated Enrollment :
700 Patients enrolled
Trial Details
Trial ID
NCT06509230
Start Date
July 20 2024
End Date
December 31 2026
Last Update
July 19 2024
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Haijun Huang
Hangzhou, Zhejiang, China, 310014