Clinical trial Recruiting at 5 sites Observational Ages 50 and up

AI-enhanced low-dose CT to screen for pancreatic cancer

Official title: Artificial Intelligence-powered Low-Dose Computed Tomography for Screening of Pancreatic Cancer

Run by Changhai Hospital · NCT07117045 · Data updated 2026-11-12

This project will test whether an AI tool called PANDA can read low-dose CT scans to find early pancreatic cancer in people aged 50 and older.

More Pancreatic Cancer trials

Quick facts

Study typeObservational
Ages50 Years and up
SexAll
Enrollment400000 (estimated)
SponsorChanghai Hospital
Academic / other
Drugs / interventionschemotherapy, radiation
Locations5 sites (Shanghai, Shanghai Municipality and 4 other locations)
StatusRecruiting
StartedAugust 15, 2025
Main results expectedDecember 30, 2030
Study endsDecember 30, 2032
Registry record updatedAugust 12, 2025
Trial IDNCT07117045 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are adults aged 50 or older who undergo LDCT, can give informed consent, and have no prior pancreatic cancer or recent severe abdominal inflammation.

Probably not a fit

People with a history of pancreatic cancer, recent acute pancreatitis, or LDCT scans of poor quality are unlikely to benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective, multicenter observational cohort uses the PANDA artificial intelligence system to analyze low-dose CT (LDCT) images collected at participating centers. When PANDA flags an abnormality, a multidisciplinary team (MDT) reviews the finding and decides whether to recall the person for further testing, create a personalized follow-up plan, or monitor for at least one year. Primary outcomes include pancreatic cancer detection rate and positive predictive value, with secondary tracking of follow-up pathways and diagnostic yield. The protocol enrolls people aged 50 and older who complete LDCT, excluding those with prior pancreatic cancer, recent acute pancreatitis, or poor-quality scans.

Why it matters

Potential benefit: If successful, this could enable earlier, less invasive detection of pancreatic cancer from routine low-dose CT scans, improving chances for curative treatment.

How similar studies have gone: Previous multi-center and real-world testing of PANDA and similar AI tools has reported high sensitivity and specificity for pancreatic lesion detection across tens of thousands of cases.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Age 50 years and above.
2. Voluntary signing of informed consent.
3. Completion of LDCT examination.

Exclusion Criteria:

1. Previous history of pancreatic cancer.
2. Abdominal inflammation or diagnosis of acute pancreatitis within 6 months.
3. Poor image quality due to ascites, pancreatic trauma, thoracic/abdominal surgery, radiotherapy or chemotherapy.
4. Research subjects unable to complete follow-up due to physical or other reasons.

Where it's running

  • Meinian Onehealth Healthcare Holdings Co., Ltd
    Shanghai, Shanghai Municipality, China
    Recruiting
  • Ruici Medical Examination Institution
    Shanghai, Shanghai Municipality, China
    Recruiting
  • Changhai Hospital
    Shanghai, Shanghai Municipality, China
    Recruiting
  • Jiaxing University Affiliated Second Hospital
    Jiaxing, Zhejiang, China
    Recruiting
  • Ningbo University Affiliated People's Hospital
    Ningbo, Zhejiang, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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.