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Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI

NCT04136236 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 57

Last updated 2024-11-19

No results posted yet for this study

Summary

Detection and differentiation of esophageal squamous neoplasia (ESN) are of value in improving patient outcomes. Probe-based confocal laser endomicroscopy (pCLE) can diagnose ESN accurately.However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

Conditions

  • Esophageal Neoplasms
  • Artificial Intelligence
  • Confocal Laser Endomicroscopy

Interventions

DIAGNOSTIC_TEST

The diagnosis of Artificial Intelligence and endoscopist

Suspected esophageal mucosal lesion is observed using pCLE, endoscopist and AI will make a diagnosis independently. In addition, the endoscopist can not see the diagnosis of AI. After a washout period, nonexpert endoscopists take the second assessment with AI assistance.

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Yanqing Li · Qilu Hospital, Shandong University

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-08-01
Primary Completion
2023-01-31
Completion
2023-01-31

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 NCT04136236 on ClinicalTrials.gov