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Polyp Histology Prediction by Artificial Intelligence

NCT05545189 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1200

Last updated 2022-09-22

No results posted yet for this study

Summary

We have been developing artificial intelligence based polyp histology prediction (AIPHP) method to classify Narrow Band Imaging(NBI) colonoscopy images to predict the hyperplastic or neoplastic histology of polyps.

We plan to study colonoscopy polyp samples taken by polypectomy from 1200 patients.The documented NBI still images will be analyzed by the AIPHP method and by the NICE classification parallel.Our aim is to analyze the accuracy of AIPHP and NBI classification based histology predictions and also compare the results of the two methods.

Conditions

  • Colorectal Polyp

Interventions

DIAGNOSTIC_TEST

colonoscopy,polypectomy

polyp removal during colonoscopy

Sponsors & Collaborators

  • Petz Aladar County Teaching Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-10-31
Primary Completion
2023-12-31
Completion
2024-03-31

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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 NCT05545189 on ClinicalTrials.gov