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An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography

NCT07543263 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 176

Last updated 2026-08-10

No results posted yet for this study

Summary

The aim of this study is to develop and validate an artificial intelligence system named iEUS-PCL (intelligent endoscopic ultrasound system-pancreatic cystic lesions） for detecting and multimodal, multi-class diagnosing pancreatic cystic lesions (PCL) during endoscopic ultrasound (EUS) examination.

Conditions

  • Pancreatic Cystic Lesion (PCL)

Interventions

DEVICE

iEUS-PCL(intelligent endoscopic ultrasound system- pancreatic cystic lesion)

The iEUS-PCL will automatically detect pancreatic cystic lesions and integrate the patients' EUS images, EUS features, clinical data and radiological imaging features to perform three classification tasks: 1. binary classification: benign/malignant lesions; 2. binary classification: mucinous/non-mucinous lesions; 3. four-category classification: intraductal papillary mucinous neoplasm/ mucinous cystic neoplasm/ serous cyst neoplasm/ pancreatic cyst.

Sponsors & Collaborators

  • Liaocheng People's Hospital

    collaborator OTHER

  • Taian City Central Hospital

    collaborator OTHER

  • Qilu Hospital of Shandong University (Qingdao)

    collaborator OTHER

  • Binzhou People's Hospital

    collaborator OTHER

  • Shandong Provincial Hospital

    collaborator OTHER_GOV

  • The Affiliated Hospital of Qingdao University

    collaborator OTHER

  • Qianfoshan Hospital

    collaborator OTHER

  • Shengli Oilfield Hospital

    collaborator OTHER

  • Binzhou Medical University

    collaborator OTHER

  • Qilu Hospital of Shandong University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-04-20
Primary Completion
2028-06-30
Completion
2028-06-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07543263 on ClinicalTrials.gov