A Joint Model Based on Deep Learning to Predict Multidrug-resistant Klebsiella Pneumoniae Liver Abscess
ConditionLiver Abscess
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorShengjing Hospital
About this trial
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.
Eligibility criteria
Qualifiers
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.
Disqualifiers
Patients diagnosed with other types of liver abscess such as amoeba.
Trial design
Treatments tested in this trial
- Not listed
Trial groups
550 Participants
are grouped into 2 trial groupsSponsors and collaborators
Shengjing Hospital
Lead sponsor
The First Affiliated Hospital of China University of Science and Technology (Anhui Provincial)
Collaborator
Guilin Medical University, China
Collaborator
Hebei General Hospital
Collaborator
Xijing Hospital
Collaborator
Hebei Medical University Third Hospital
Collaborator
The First Affiliated Hospital of Dalian Medical University
Collaborator
The People's Hospital of Liaoning Province
Collaborator
Fourth People's Hospital of Shenyang
Collaborator
Sir Run Run Shaw Hospital
Collaborator
Source ClinicalTrials.gov