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.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
medical softaware and/or solution to guide stent placement in complex hilar biliary stricture
Timeframe: 4 years (2020 - 2025)