Machine learning to reduce extra imaging (EUS or MRCP) for people with suspected common bile duct stones
Official title: Application of Machine Learning Models to Reduce Need for Diagnostic EUS or MRCP in Patients With Intermediate Likelihood of Choledocholithiasis- A Prospective, Open Label, Diagnostic Study
Run by Asian Institute of Gastroenterology, India · NCT06066372 · Data updated 2026-11-12
This project will test whether a machine-learning tool can identify which adults with an intermediate chance of common bile duct stones can safely skip EUS or MRCP.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | Asian Institute of Gastroenterology, India Academic / other |
| Locations | 1 site (Hyderabad, Telangana) |
| Status | Recruiting |
| Started | October 1, 2023 |
| Main results expected | June 30, 2026 |
| Study ends | October 30, 2026 |
| Registry record updated | January 6, 2026 |
| Trial ID | NCT06066372 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (≥18 years) with suspected common bile duct stones who meet ASGE or ESGE intermediate-risk criteria and are scheduled for EUS or MRCP, without other pancreatobiliary disease, chronic liver disease, pregnancy or prior cholecystectomy.
✕Probably not a fit
Patients with high or low pretest probability, those with other pancreatobiliary conditions, chronic liver disease, pregnancy, prior cholecystectomy, or those unable to undergo standard imaging are unlikely to benefit from this model.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational project will use clinical data from adults classified as intermediate likelihood for choledocholithiasis to train and test machine-learning models that predict the presence of common bile duct stones. Participants meeting ASGE or ESGE intermediate-risk criteria who undergo EUS or MRCP at the Asian Institute of Gastroenterology will be included, with exclusions for other pancreatobiliary disease, chronic liver disease, pregnancy or breastfeeding, and prior cholecystectomy. Model predictions will be compared to imaging results to determine whether a subgroup can be identified who do not require EUS or MRCP. The goal is to reduce unnecessary advanced imaging, associated costs, and procedure-related risks if the model proves accurate.
Why it matters
Potential benefit: If successful, the tool could let some patients avoid EUS or MRCP, reducing costs, wait times, and procedure-related risks.
How similar studies have gone: Machine learning specifically for predicting choledocholithiasis is relatively novel with limited published evidence, though AI methods have shown promise in related diagnostic and risk-stratification tasks.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: • Individual 18 years or older with a suspected choledocholithiasis satisfying either ASGE or ESGE risk stratification criteria of intermediate likelihood undergoing EUS or MRCP Exclusion Criteria: * Patients having co-exiting disease of pancreato biliary system other than gall stones and choledocholithiasis which include chronic pancreatitis, biliary stricture, pancreatobiliary malignancy, portal biliopathy * Patients having underlying chronic liver diseases * Pregnancy and breast feeding * Previous history of cholecystectomy
Where it's running
-
Asian Institute of Gastroenterology
Hyderabad, Telangana, India Recruiting
Study contacts
- Study coordinator: Nitin G Jagtap, MD
- Email: docnits13@gmail.com
- Phone: +919182859523
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Hyoscine Butylbromide During Transcystic Papillary Balloon Dilation for Choledocholithiasis
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Comparing the carbon footprint of endoscopic ultrasound versus MRCP for suspected common bile duct stones
This project will test whether endoscopic ultrasound (EUS) produces a smaller carbon footprint than MRCP when used to check for common bile duct (CBD) stones in adults with intermediate risk.
-
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This trial will test whether having your gallbladder removed soon after ERCP or waiting longer gives better outcomes for people who had stones cleared from their common bile duct.
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.