MedTrace Logo

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

NCT07051226 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 90

Last updated 2025-07-04

No results posted yet for this study

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)

Conditions

  • Irritable Bowel Syndrome (IBS)

Sponsors & Collaborators

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

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2027-12-31
Completion
2027-12-31

More Related Trials

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 NCT07051226 on ClinicalTrials.gov