Clinical trial Recruiting at 1 site Observational Ages 50 to 75

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.

More Diabetes trials

Quick facts

Study typeObservational
Ages50 Years to 75 Years
SexAll
Enrollment5000 (estimated)
SponsorChanghai Hospital
Academic / other
Locations1 site (Shanghai)
StatusRecruiting
StartedDecember 1, 2020
Main results expectedDecember 30, 2025
Study endsDecember 30, 2030
Registry record updatedSeptember 1, 2023
Trial IDNCT04743479 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

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.

    Recruiting at 3 sites Mayo Clinic · Phoenix, Arizona and 2 other locations · NCT00830557

  • 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.

    Recruiting Grigore T. Popa University of Medicine and Pharmacy · Iași · NCT07875582

  • 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.

    Recruiting Università Vita-Salute San Raffaele · Milan, MI · NCT07700992

  • 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.

    Recruiting at 2 sites Military Medical Clinical Center of the Southern Region, Ukraine · Odesa and 1 other locations · NCT07536841

  • 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.

    Recruiting Changhai Hospital · Shanghai · NCT07439757

  • 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.

    Recruiting at 4 sites Associazione Italiana per lo Studio del Pancreas · Rozzano, Milan and 3 other locations · NCT04095195

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.