Using AI for early screening of pancreatic cancer
Official title: Artificial Intelligence-based Health Information Management System and Key Technology Study of Early Screening and Hierarchical Diagnosis and Treatment of Pancreatic Cancer
Run by Changhai Hospital · NCT04743479 · Data updated 2026-11-12
This study is testing if using artificial intelligence can help find pancreatic cancer earlier in people who are at high risk, like those with new diabetes or family history of the disease.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 50 Years to 75 Years |
| Sex | All |
| Enrollment | 5000 (estimated) |
| Sponsor | Changhai Hospital Academic / other |
| Locations | 1 site (Shanghai) |
| Status | Recruiting |
| Started | December 1, 2020 |
| Main results expected | December 30, 2025 |
| Study ends | December 30, 2030 |
| Registry record updated | September 1, 2023 |
| Trial ID | NCT04743479 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include individuals with new-onset diabetes, familial pancreatic cancer, inherited syndromes related to pancreatic cancer, pancreatic cystic neoplasms, or chronic pancreatitis.
✕Probably not a fit
Patients who have been diagnosed with pancreatic cancer or other malignant tumors in the last 5 years will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to improve early detection of pancreatic cancer by utilizing artificial intelligence to identify risk factors and biomarkers in high-risk individuals. Participants will include those with new-onset diabetes, familial pancreatic cancer, inherited syndromes, pancreatic cystic neoplasms, and chronic pancreatitis. The study will involve annual laboratory tests and high-resolution MRI/CT examinations, with further evaluation of any suspicious lesions through endoscopic ultrasound. Blood samples will also be collected for future research on pancreatic cancer.
Why it matters
Potential benefit: If successful, this approach could significantly enhance early diagnosis and treatment options for pancreatic cancer, potentially improving survival rates.
How similar studies have gone: While the use of AI in cancer screening is a growing field, this specific approach to pancreatic cancer screening is novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * 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. * Subject must meet one of the following criteria: 1. New onset diabetes (diagnosed within the past 3 years) 2. Familial pancreatic cancer 3. Inherited syndromes associated with pancreatic cancer (including Hereditary pancreatitis, Familial atypical multiple mole and melanoma syndrome, Hereditary nonpolyposis colon cancer, Peutz-Jeghers syndrome, Hereditary breast and ovarian cancer syndromes, etc) 4. Pancreatic cystic neoplasm (including IPMN, MCN) 5. Chronic pancreatitis Exclusion Criteria: * 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.
Where it's running
-
Shanghai Changhai Hospital
Shanghai, China Recruiting
Study contacts
- Study coordinator: Beilei Wang, M.D.
- Email: lilly_wang@126.com
- Phone: 13774238083
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Collecting medical information and tissue samples from patients with pancreatic disorders
This study is collecting medical information and samples from people with pancreatic cancer or other pancreatic disorders to help find better ways to detect and treat these diseases.
-
Blood protein biomarkers to help diagnose pancreatic cancer in adults
This study tests whether blood protein biomarkers can help detect pancreatic ductal adenocarcinoma and tell it apart from chronic pancreatitis and mucinous pancreatic lesions, and whether combining markers with CA 19-9 improves accuracy.
-
Liquid biopsy biomarkers to detect and monitor pancreatic cancer
Researchers test blood-based microRNA signals to see if they can identify pancreatic cancer risk or early disease in people with familial or hereditary risk or mucinous cysts.
-
Odesa Criteria 2026: tests for autoimmune pancreatitis diagnosis
This study checks if the OC26 scoring system can accurately diagnose autoimmune pancreatitis in adults who may have AIP or related pancreatic diseases.
-
AI-guided decision support for managing pancreatic conditions
This project will test an AI tool that reads contrast-enhanced CT scans to help doctors decide whether people with suspected pancreatic disease need surgery, close monitoring, or routine follow-up.
-
Registry for people at risk of pancreatic cancer
This study is collecting information from people at risk of pancreatic cancer due to family history or genetic factors to see if regular check-ups can help catch the disease early.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.