NCT06528223Not yet recruiting
Research of the Application of Artificial Intelligence Model "PANDA"
Research of the Application of Artificial Intelligence Model 'PANDA': A MultiCenter, Prospective Randomized Controlled Clinical Trial
Source: ClinicalTrials.gov · Last updated 30 Jul 2024 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
The research objective of this project is to conduct a large-scale and prospective real-world validation of the Pancreatic Cancer Screening Model PANDA, which was developed based on deep learning and plain CT scans in previous studies. This validation will be carried out across different scenarios at the First Affiliated Hospital of Zhejiang University, leveraging clinical big data. The goal is to verify the model's role in suggesting and supplementing the diagnosis of PDAC in clinical practice, thereby laying the groundwork for large-scale opportunistic screening of PDAC.
- Status (registry)
- Not yet recruiting
- Study type
- Interventional
- Enrollment
- 200000 (estimated)
- First submitted
- 15 Jul 2024
- Start date
- 15 Aug 2024
- Primary completion date
- 31 Aug 2027
- Lead sponsor
- Zhejiang University
- Diseases
- Pancreatic cancer, Childhood cancers
- NCT number
- NCT06528223
What you commit to
- Study type: Interventional
- Planned participants: 200000
- From 15 Aug 2024 to the primary completion date, 31 Aug 2027
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Patients undergoing thoracic/abdominal surgical procedures that affect or alter the anatomical display of the pancreas (esophageal/gastric/pancreatic/vascular/ERCP postoperative, etc.)
Other
- Chest CT scan without pancreatic coverage
- Scanning non-standard examinations, such as significant respiratory motion artifacts
Who the study is looking for
- The participants have undergone chest and/or abdominal plain CT scans at outpatient, inpatient, or physical examination centers
Sex: All · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| The first Affiliated Hospital, School of Medicine, Zhejiang University. Coordinator of this site? Confirm its status | Hangzhou | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.