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NCT07051226

Deep Learning-Based Confocal Laser Microendoscopy Feature Atlas Construction and Its Application in Intelligent Diagnosis of Irritable Bowel Syndrome

Sponsor: Daping Hospital and the Research Institute of Surgery of the Third Military Medical University

View on ClinicalTrials.gov

Summary

In this study, the healthy control group and IBS patients are taken as the research subjects, and CLE is applied to image and analyze the enrolled persons respectively, to derive and compare the characteristic microstructural images of the healthy control group with those of the IBS patients, to establish a diagnostic model of IBS by using deep learning and to evaluate the diagnostic efficacy of the model for IBS.Participants will undergo colonoscopy and confocal laser microendoscopy, and IBS patients will undergo targeted biopsy in CLE to observe suspicious lesions and lesion margins, and specimens will undergo HE staining and immunohistochemistry testing. Translated with DeepL.com (free version)

Key Details

Gender

All

Age Range

18 Years - 80 Years

Study Type

OBSERVATIONAL

Enrollment

90

Start Date

2025-07-01

Completion Date

2027-12-31

Last Updated

2025-07-04

Healthy Volunteers

Yes