Status:
UNKNOWN
Effect of a Deep Learning-based Bile Duct Scanning System on the Diagnostic Accuracy of Common Bile Duct Stones During Examination by Novice Ultrasound Endoscopists
Lead Sponsor:
Renmin Hospital of Wuhan University
Conditions:
Common Bile Duct Stones
Eligibility:
All Genders
18+ years
Phase:
NA
Brief Summary
The bile duct scanning system based on deep learning can prompt endoscopists to scan standard stations and identify bile ducts and stones in real time. The purpose of this study is to evaluate the eff...
Detailed Description
The incidence of gallstones has been increasing in recent years, up to 10-15% in developed countries, and is still increasing at a rate of 0.6% per year. It is estimated that common bile duct stones (...
Eligibility Criteria
Inclusion
- Males and females aged 18 years and older who are suspected of having common bile duct stones at intermediate to low risk, where intermediate-risk patients are those with normal liver function but with abdominal ultrasound suggestive of bile duct dilatation, and low-risk patients are those with normal abdominal ultrasound and liver function but whose physicians still suspect common bile duct stones;
- Able to read, understand and sign an informed consent;
- The investigator believes that the subjects can understand the process of the clinical study, are willing and able to complete all study procedures and follow-up visits, and cooperate with the study procedures.
Exclusion
- Patients at high risk of common bile duct stones. High-risk patients are those with common bile duct stones detected by abdominal ultrasound, patients with manifestations of cholangitis or hospitalized patients with a history of gallbladder stones with pain, bile duct dilatation and jaundice;
- Have drug or alcohol abuse or mental disorder in the last 5 years;
- Pregnant or lactating women;
- Altered anatomy due to previous history of upper gastrointestinal surgery;
- Patients with advanced tumors resulting in abnormal upper gastrointestinal anatomy;
- High-risk diseases or other special conditions that the investigator considers the subject unsuitable for participation in the clinical trial.
Key Trial Info
Start Date :
June 1 2022
Trial Type :
INTERVENTIONAL
Allocation :
ESTIMATED
End Date :
January 1 2024
Estimated Enrollment :
184 Patients enrolled
Trial Details
Trial ID
NCT05381064
Start Date
June 1 2022
End Date
January 1 2024
Last Update
May 19 2022
Active Locations (0)
Enter a location and click search to find clinical trials sorted by distance.
No Results Found
We couldn’t find results for the location/zipcode entered or within the selected range. Please check your input or adjust your search.