Real-time Artificial Intelligence-based Endocytoscopic Diagnosis of Colorectal Neoplasms

RecruitingOBSERVATIONAL
Enrollment

350

Participants

Timeline

Start Date

April 1, 2024

Primary Completion Date

December 31, 2024

Study Completion Date

December 31, 2024

Conditions
Colorectal Neoplasms
Interventions
DIAGNOSTIC_TEST

artificial intelligence system

The colorectal lesions had been observed with EC-NBI and EC-stained by endoscopists before treatment that were ultimately performed histopathologic examination. The endocytoscopies (CF-H290ECI, Olympus, Tokyo, Japan) have a maximum magnification of ×520, focusing depth, 35 μm; field of view, 570 × 500μm. During EC-NBI , the endoscopist pushed the button of the endoscope to switch from white-light imaging to NBI and observed the lesion with full magnification. After endocytoscopic observation, the artificial intelligence system will be open and display the predictive result. Finally, the endoscopist performed EC-stained mode diagnosis after staining the lesion surface with 1.0% methylene blue. After endocytoscopic observation, the artificial intelligence system will be open again and display the predictive result.

Trial Locations (1)

130021

RECRUITING

First hospital of Jilin University, Changchun

All Listed Sponsors
lead

The First Hospital of Jilin University

OTHER