NCT07463872Recruiting
Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data
A Multimodal Artificial Intelligence Model for Subtyping Diagnosis and Clinical Management of Pancreatic Cystic Lesions Based on Endoscopic Ultrasound and Clinical Information
Source: ClinicalTrials.gov · Last updated 11 Mar 2026
Brief summary (registry, in English)
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.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 500 (estimated)
- First submitted
- 9 Dec 2025
- Start date
- 1 Jan 2025
- Primary completion date
- Apr 2026
- Lead sponsor
- Huazhong University of Science and Technology
- Diseases
- Neuroendocrine tumours, Pancreatic cancer
- NCT number
- NCT07463872
What you commit to
- Study type: Observational
- Planned participants: 500
- From 1 Jan 2025 to the primary completion date, Apr 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Patients who have undergone pancreatic surgery before the EUS examination;
- Patients who have received chemotherapy and radiotherapy for pancreatic tumors before the EUS examination;
Age
- Patients whose age is less than 18 years old;
Other
- 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.
Who the study is looking for
- 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).
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Coordinator of this site? Confirm its status | Wuhan | China | Not yet recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.