Status:
RECRUITING
A Joint Model Based on Deep Learning to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess
Lead Sponsor:
Shengjing Hospital
Collaborating Sponsors:
The First Affiliated Hospital of China University of Science and Technology (Anhui Provincial)
Guilin Medical University, China
Conditions:
Liver Abscess
Eligibility:
All Genders
18+ years
Brief Summary
The goal of this observational study is to train a deep learning-based model to predict multidrug-resistant Klebsiella pneumoniae liver abscess and evaluate it on a multi-center database.
Detailed Description
Liver abscess is one of the most common abdominal organ infections worldwide, with a mortality rate that once reached as high as 70%. Before the widespread use of antibiotics, suppurative appendicitis...
Eligibility Criteria
Inclusion
- Patients diagnosed as pyogenic liver abscess and was proved by surgery or interventional process.
- Patients had accepted abdominal enhance CT scans before surgery or interventional process.
Exclusion
- Patients diagnosed with other types of liver abscess such as amoeba.
Key Trial Info
Start Date :
January 1 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
March 1 2025
Estimated Enrollment :
550 Patients enrolled
Trial Details
Trial ID
NCT06506318
Start Date
January 1 2024
End Date
March 1 2025
Last Update
July 17 2024
Active Locations (1)
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1
Shengjing hospital of China medical university
Shenyang, Liaoning, China, 110004