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

Investigating AI-Enhanced Low-Dose Computed Tomography for Pancreatic Cancer Screening

Recruiting
50 years and older
All
Phase N/A
  • Simplified description (AI rewritten)
  • Technical description (Original)

This study investigates pancreatic ductal adenocarcinoma (PDAC). The purpose of this study is to explore the use of artificial intelligence to improve low-dose computed tomography (LDCT) for screening.

The study evaluates the effectiveness and safety of AI-assisted LDCT in detecting pancreatic cancer. It focuses on measuring outcomes such as cancer detection rates and safety indicators.

  • Who can participate: Adults aged 50 years and older who have completed an LDCT examination are eligible. Participants must not have a history of pancreatic cancer or recent abdominal inflammation.
  • Study details: Participants will undergo LDCT scans analyzed by the PANDA system. A multidisciplinary team will review any abnormal findings.
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Study details
    Pancreatic Cancer
    Intraductal Papillary Mucinous Neoplasm
    High-grade Pancreatic Intraepithelial Neoplasia
    PDAC - Pancreatic Ductal Adenocarcinoma
    Mucinous Cystic Neoplasm

NCT07117045

Changhai Hospital

31 July 2026

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