Preclinical Development of a 3D Bili-MRI Reconstruction Tool and an Artificial Intelligence Algorithm to Assist Endoscopists in Performing Endoscopic Retrograde Cholangiopancreatography (ERCP)
Starting soon
Conditions studied: Patients With Biliary Stricture Treated During ERCP With Available MRCP and Abdominal CT Scan
In brief
ERCP is a complex interventional endoscopic procedure based on 2D visualization of the biliary tract. 3D modeling and AI are promising solutions to improve navigation and safety during ERCP. The MAAGIE project was designed to create one of these innovative solutions and received ANR funding in 2024. It includes several Work Packages, among which the first WP involves creating a database from imaging data of the biliary tract already collected during clinical care. The main objective of our study will be to develop and validate a tool that enables 3-dimensional modeling of the biliary tract from preoperative MRCP and abdominal CT scan sequences, allowing better visualization and understanding of patients' biliary anatomy before and during ERCP.
Key facts
- Study ID
- NCT07401485
- Run by
- Assistance Publique - Hôpitaux de Paris
- People needed
- 100
- Starts
- 2026-03-02
- Expected to finish
- 2026-07-02
- Last updated by the study team
- 2026-02-10
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Patients aged 18 years or older.
- Patients treated by ERCP in the endoscopy unit of Saint Antoine Hospital or Henri Mondor Hospital for a biliary condition related to a biliary stricture (benign or malignant).
- Patients who underwent an MRCP and an abdominal CT scan in the imaging department of Saint Antoine Hospital or Henri Mondor Hospital as part of their clinical care.
You may not qualify if…
- Patients who oppose the reuse of their clinical data for research after receiving the information letter.
Where it is running
- Service Endoscopie digestive, Saint Antoine APHP — Paris, France, France
Full record on ClinicalTrials.gov
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