Pancreatic cancer is one of the most fatal malignancies with a 5-year survival rate of only \~6%\[1\]. The reasons for this high mortality rate can be attributed to several factors, of which perhaps the most important is delayed diagnosis due to vague symptoms and consequently missed opportunities for surgical resection. Therefore, the ability to detect pancreatic cancer at an early, more curable stage is urgently needed.
Identifying risk factors and biomarkers of early pancreatic cancer could facilitate screening for individuals at higher than average risk and expedite the diagnosis in individuals with symptoms and substantially improve an individual's chance of surviving the disease. Thus, the investigators propose this longitudinal study entitled, "Artificial Intelligence-based Early Screening of Pancreatic Cancer and High Risk Tracing (ESPRIT-AI)" in order to generate clinical data sets and bank serial blood specimens of high risk individuals.
Subject is able and willing to provide informed consent and sign an informed consent form.
Subject or authorized representative must be willing to complete a detailed questionnaire.
New onset diabetes (diagnosed within the past 3 years)
Familial pancreatic cancer
Subject has been diagnosed with pancreatic cancer or other malignant tumors in the last 5 years;
Subject has any medical condition that contraindicates high-resolution MRI or CT;
Subject cannot be followed up or is participating in other clinical trials.