Clinical trial · Observational
Preclinical Development of a 3D Bili-MRI Reconstruction Tool and an Artificial Intelligence Algorithm to Assist Endoscopists in Performing Endoscopic Retrograde Cholangiopancreatography (ERCP)
Preclinical Development of a 3D Bili-MRI Reconstruction Tool and an Artificial Intelligence Algorithm to Assist Endoscopists in Performing Endoscopic Retrograde Cholangiopancreatography (ERCP) : MAAGIE
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Patients With Biliary Stricture Treated During ERCP With Available MRCP and Abdominal CT Scan | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| retrospective study based on data already collected during routine care (no intervention) | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- medical softaware and/or solution to guide stent placement in complex hilar biliary stricture
- timeFrame
- 4 years (2020 - 2025)
- description
- To develop and validate a tool enabling three-dimensional modeling of the biliary tract from preoperative MRCP and abdominal CT scan sequences, providing improved visualization and a better understanding of patients' biliary anatomy before and during ERCP.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * 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. Exclusion Criteria: -Patients who oppose the reuse of their clinical data for research after receiving the information letter.
References
Publications (0)
Data not yet available