Managing pancreatic cysts with AI and EUS data
Part of Cancer, Digestive system, Hormones & metabolism clinical trials.
This study uses artificial intelligence to look at EUS images and other information to better understand and manage pancreatic cysts. It aims to help doctors tell different types of cysts apart so they can choose the best treatment for you.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You must have a cyst or cyst-like spot on your pancreas that was seen on an endoscopic ultrasound (EUS).
- The cyst can be a mucinous type (like MCN or IPMN) or a non-mucinous type (like pseudocyst, SCN, or cNET).
- You must be at least 18 years old.
- You cannot have had surgery, chemotherapy, or radiation for a pancreas tumor before the EUS.
- The spot on your pancreas must not be cancer that spread from another part of your body.
- Your EUS images must be clear and have no extra marks or blur.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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