AI could spot dangerous pancreatic cysts with greater accuracy
NCT ID NCT07463872
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing an artificial intelligence model called Cyst-AI that uses endoscopic ultrasound images and patient data to help doctors tell apart different types of pancreatic cysts. The goal is to improve diagnosis and guide treatment decisions. Researchers plan to enroll 500 adults with pancreatic cysts to see how well the AI performs.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Cyst-AI model (diagnostic test)
- What this could lead to
- If successful, this AI tool could help doctors more accurately diagnose pancreatic cysts and decide on the best treatment, potentially reducing unnecessary surgeries.
- What could go wrong
- This is an early-stage study with 500 participants, and the AI model may not perform as well in real-world settings or with different patient groups.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
-
About 500 people
The number the study aims to enrol. It can still change while the study runs.
- Started
-
Jan 2025
- Expected to finish
-
Jun 2026
An estimate. End dates often move.
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The cohort will be selected from several hospitals in China, including Tongji Hospital, Tongji Medical College, HUST.
- Ages
-
18 years and older
- Sex
-
Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion criteria: * 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). Exclusion criteria: * 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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Intraductal papillary mucinous neoplasm of pancreas are added.
Genom att skicka in godkänner du våra Användarvillkor
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
-
The places running it
2 sites. The list below names each one and where it is.
-
The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
-
A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
-
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
NOT_YET_RECRUITINGWuhan, Hubei, 430030, China
-
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
RECRUITINGWuhan, Hubei, 430030, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- AI joins the hunt for hidden pancreatic cancer
- Scientists hunt for biomarkers to catch pancreatic cancer before it strikes
- New ultrasound could spare patients unnecessary pancreatic surgery
- New imaging agent could improve detection of rare cancers
- New surgery aims to cut pancreatic leak and diabetes risk