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

Recruiting now

Conditions studied: Pancreatic Cystic Lesion, Mucinous Cystadenoma of Pancreas, Intraductal Papillary Mucinous Neoplasm of Pancreas, Pseudocyst Pancreas, Serous Cystadenoma, Neuroendocrine Tumors, NET

In brief

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.

Key facts

Study ID

NCT07463872

Run by

Huazhong University of Science and Technology

People needed

500

Starts

2025-01-01

Expected to finish

2026-06-01

Last updated by the study team

2026-03-11

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients whose EUS results indicates pancreatic cystic or cystoid lesions;
• Mucinous lesions: including mucinous cystic neoplasm (MCN), intraductal papillary mucinous neoplasm (IPMN);
• Non-mucinous lesions: including pancreatic pseudocyst, serous cystic neoplasm (SCN), cystic neuroendocrine tumor (cNET).

You may not qualify if…

• Patients whose age is less than 18 years old;
• Patients who have undergone pancreatic surgery before the EUS examination;
• Patients who have received chemotherapy and radiotherapy for pancreatic tumors before the EUS examination;
• Pathological results indicate that pancreatic lesions are metastatic lesions from other sites;
• Patients whose EUS images or reports are missing;
• EUS image quality does not meet the requirements for review, such as blurry imaging or containing artifacts, biopsy needles, measuring scales, or other additional annotations that are not part of the original EUS image;
• Patients whose final diagnosis is unclear.

Where it is running

• Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology — Wuhan, Hubei, China (enrolling)
• Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology — Wuhan, Hubei, China

Full record on ClinicalTrials.gov

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