Clinical Trial

Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data

Recruiting
View on ClinicalTrials.gov →
Record status
This record was last updated March 11, 2026 (before its estimated April 2026 completion). Its status may not reflect the trial's current state.
Summary
The primary objective is to construct a multimodal AI model (Cyst-AI) based on EUS images and clinical data such as imaging features(CT or MRI) and laboratory tests to assist endoscopists in the diagnosis of pancreatic cystic lesions(PCLs), mainly differentiating mucinous from non-mucinous lesions. The secondary objective is to evaluate the model's effectiveness in risk stratification and clinical management for patients with PCLs.
Trial Details
NCT Number NCT07463872
Lead Sponsor Huazhong University of Science and Technology
Conditions Pancreatic Cystic Lesion, Mucinous Cystadenoma of Pancreas, Intraductal Papillary Mucinous Neoplasm of Pancreas, Pseudocyst Pancreas, Serous Cystadenoma, Neuroendocrine Tumors, NET
Enrollment 500 participants
Start Date 2025-01-01
Primary Completion 2026-04 (estimated)
Study Completion 2026-06 (estimated)
Updated on ClinicalTrials.gov 2026-03-11