Actively Recruiting
Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data
Led by Huazhong University of Science and Technology · Updated on 2026-03-11
500
Participants Needed
2
Research Sites
73 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients whose EUS results indicate pancreatic cystic or cystoid lesions
- Mucinous lesions including mucinous cystic neoplasm (MCN) and intraductal papillary mucinous neoplasm (IPMN)
- Non-mucinous lesions including pancreatic pseudocyst, serous cystic neoplasm (SCN), and cystic neuroendocrine tumor (cNET)
You will not qualify if you...
- Patients younger than 18 years old
- Patients who have undergone pancreatic surgery before the EUS examination
- Patients who have received chemotherapy or radiotherapy for pancreatic tumors before the EUS examination
- Pathological results showing pancreatic lesions are metastatic from other sites
- Missing EUS images or reports
- EUS image quality inadequate for review due to blurriness, artifacts, biopsy needles, measuring scales, or other annotations
- Patients with unclear final diagnosis
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China, 430030
Not Yet Recruiting
2
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China, 430030
Actively Recruiting
Research Team
B
Bin Cheng
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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