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.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 400000 (estimated) |
| Sponsor | Changhai Hospital Academic / other |
| Drugs / interventions | chemotherapy, radiation |
| Locations | 5 sites (Shanghai, Shanghai Municipality and 4 other locations) |
| Status | Recruiting |
| Started | August 15, 2025 |
| Main results expected | December 30, 2030 |
| Study ends | December 30, 2032 |
| Registry record updated | August 12, 2025 |
| Trial ID | NCT07117045 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
- Study coordinator: Wang Bei Lei, M.D.
- Email: lilly_wang@126.com
- Phone: 13774238083
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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.