PANDA Pro: Patients with PANDA Pro-reported PDAC positivity but no pancreatic lesions indicated in the imaging report, or those with positive pancreatic findings in the imaging report but no subsequent clinical intervention, will be identified as requiring follow-up. These patients will be recalled to the First Affiliated Hospital of Zhejiang University for further examination and diagnosis.
The purpose of this study is to build upon the previously developed deep learning-based non-contrast CT pancreatic cancer screening model, PANDA. The model will first undergo training and enhancement, followed by external validation across multiple centers. Subsequently, a large-scale real-world validation will be conducted at Zhejiang University's First Affiliated Hospital , the study will be divided into two rounds. In the first round, the performance of the PANDA model and the upgraded PANDA Pro model will be compared on consecutive retrospective real-world CT scans. In the second round, physicians will record the PANDA Pro results in real time to identify potential pancreatic lesions that may have been clinically missed. By leveraging clinical big data across different scenarios at Zhejiang University's First Affiliated Hospital, the study aims to validate the model's role in prompting and supplementing the diagnosis of PDAC in clinical practice, thereby laying the foundation for large-scale opportunistic screening of PDAC.
| Facility | City | Region | Status |
|---|---|---|---|
| the First Affiliated Hospital, School of Medicine, Zhejiang University | Hangzhou | Zhejiang |
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06643715 on ClinicalTrials.gov ↗ ← All trials in China