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An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound

NCT07381192 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 383

Last updated 2026-02-02

No results posted yet for this study

Summary

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

Conditions

  • Endoscopic Ultrasound (EUS)
  • Solid Pancreatic Lesion

Interventions

DEVICE

iEUS-SPL(intelligent endoscopic ultrasound system-pancreatic solid lesion)

The iEUS-SPL will automaticly detect solid pancreatic lesions and integrate the patients' endoscopic ultrasound images, endoscopic ultrasound features, clinical data and imaging features to perform a five-category classification for the lesions, categorizing them as pancreatic cancer, pancreatic neuroendocrine tumor, solid pseudopapillary tumor, autoimmune pancreatitis and chronic pancreatitis.

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
Yes

Timeline & Regulatory

Start
2025-09-01
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 NCT07381192 on ClinicalTrials.gov