Status:
COMPLETED
Multimodal Imaging Diagnosis and Decision Aid System for Hepatic Echinococcosis Based on Image Omics and Vision Macromodel
Lead Sponsor:
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Conditions:
Hepatic Echinococcosis
Eligibility:
All Genders
1-80 years
Brief Summary
Hepatic echinococcosis (hepatic echinococcosis) is an important zoonotic disease widely existing in the agricultural and pastoral areas of northwest China. The disease can be parasitic in any part of ...
Detailed Description
1. Automatic recognition/Efficient diagnosis of hepatic Echinococcosis: Development of a deep learn-based AI diagnostic tool aimed at improving the differentiation of hepatic echinococcosis from other...
Eligibility Criteria
Inclusion
- Patients with complete original images in CT, ultrasound, and MRI dcim formats
- Patients with liver hydatid confirmed by pathology after operation
- Patients with complete clinical data preservation
Exclusion
- Patients with poor quality imaging data
- Patients with incomplete clinical data
- CE4 and CE5 liver hydatid patients diagnosed by imaging alone without surgical treatment
Key Trial Info
Start Date :
September 30 2023
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
September 12 2024
Estimated Enrollment :
1000 Patients enrolled
Trial Details
Trial ID
NCT06540742
Start Date
September 30 2023
End Date
September 12 2024
Last Update
September 19 2024
Active Locations (1)
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1
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Guangzhou, China/Guangdong, China