NCT04136236

Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI

Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using Probe-based Confocal Laser Endomicroscopy With Artificial Intelligence

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 57 (actual)
• Sponsor: Shandong University · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

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

Type	Name	Description
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.

Timeline

• Start date: 2019-08-01
• Primary completion: 2023-01-31
• Completion: 2023-01-31
• First posted: 2019-10-23
• Last updated: 2024-11-19

Locations

1 site across 1 country: China