Actively Recruiting
Registry Study for Adults at High Risk of Pancreatic Cancer Using Advanced Detection Methods
Led by Mayo Clinic · Updated on 2026-03-10
5000
Participants Needed
1
Research Sites
N/A
Total Duration
AI-Summary
What this Trial Is About
Researchers are studying people at high risk for pancreatic ductal adenocarcinoma PDAC to develop and validate early detection tests. This research uses advanced machine learning algorithms to analyze medical databases and images to identify early stages of pancreatic cancer or those at risk. The study also aims to create a platform to develop early detection methods for PDAC. Participants are grouped based on genetic mutations or family history related to pancreatic cancer risk. Blood samples will be collected at enrollment and during follow-up visits, and pancreatic juice may be collected during certain clinical procedures when appropriate. Patients in one risk group will be offered research MRI scans at baseline and every three years. Clinical imaging results from standard care will also be used. Participants will provide biospecimens like blood and pancreatic juice, undergo imaging assessments, and have their medical data collected for up to 10 years. The study monitors these samples and images to improve early detection of pancreatic cancer. Participation involves consent and periodic visits or procedures as recommended by clinical care and study protocol.
CONDITIONS
Brief Title
A Prospective Registry for Patients at High-Risk for Pancreatic Cancer
Research Team
C
Clinical Trials Referral Office
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