Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI

Last updated: November 16, 2024
Sponsor: Shandong University
Overall Status: Completed

Phase

N/A

Condition

Digestive System Neoplasms

Esophageal Disorders

Treatment

The diagnosis of Artificial Intelligence and endoscopist

Clinical Study ID

NCT04136236
2019SDU-QILU-66
  • Ages 18-80
  • All Genders

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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • aged between 18 and 80;

  • agree to give written informed consent；

Exclusion

Exclusion Criteria:

  • advanced esophageal squamous cell carcinoma or esophageal stenosis;

  • having no suspicious lesion of ESN found by WLE and IEE

  • known allergy to fluorescein sodium;

  • having coagulopathy or impaired renal function;

  • being pregnant or breastfeeding.

Study Design

Total Participants: 57
Treatment Group(s): 1
Primary Treatment: The diagnosis of Artificial Intelligence and endoscopist
Phase:
Study Start date:
August 01, 2019
Estimated Completion Date:
January 31, 2023

Connect with a study center

  • Qilu Hospital, Shandong University

    Jinan, Shandong 250001
    China

    Site Not Available

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