Polyp Artificial Intelligence Study

• Sponsor: Petz Aladar County Teaching Hospital (Other)
• Overall Status: Completed
• CT.gov ID: NCT04425941
• Collaborator: (none)
• Enrollment: 373
• Actual Duration (Months): 76.8

Study Details

Study Description

Brief Summary

Background We are developing artificial intelligence based polyp histology prediction (AIPHP) method to automatically classify Narrow Band Imaging (NBI) magnifying colonoscopy images to predict the non-neoplastic or neoplastic histology of polyps.

Aim Our aim was to analyse the accuracy of AIPHP and NICE classification based histology predictions and also to compare the results of the two methods.

Methods We examined colorectal polyps obtained from colonoscopy patients who had polypectomy or endoscopic mucosectomy. Polyps detected by white light colonoscopy were observed then by using NBI at the optical maximum magnificent (60x). The obtained and stored NBI magnifying images were analysed by NICE classification and by AIPHP method parallelly. Pathology examinations were performed blinded to the NICE and AIPHP diagnosis, as well. Our AIPHP software is based on a machine learning method. This program measures five geometrical and colour features on the endoscopic image.

Condition or Disease	Intervention/Treatment	Phase
Software Analysis on Polyp Histology Prediction	Other: artificial intelligence diagnosis

Study Design

• Study Type: Observational
• Actual Enrollment: 373 participants
• Observational Model: Cohort
• Time Perspective: Prospective
• Official Title: Artificial Intelligence Based Colorectal Polyp Histology Prediction by Using Narrow-band Imaging Magnifying Colonoscopy
• Actual Study Start Date: Jan 5, 2014
• Actual Primary Completion Date: May 31, 2020
• Actual Study Completion Date: May 31, 2020

Outcome Measures

Primary Outcome Measures

1. Software accuracy of polyp histology prediction [2014-2020]

   Artificial intelligence software diagnosis in comparison with the polyp histology

Eligibility Criteria

Criteria

• Ages Eligible for Study: 18 Years to 90 Years
• Sexes Eligible for Study: All
• Accepts Healthy Volunteers: No

Inclusion Criteria:

• endoscopic diagnosis of colorectal polyp

Exclusion Criteria:

• colonoscopy result without polyps or IBD diagnosis

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

• Petz Aladar County Teaching Hospital

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.

• Responsible Party: Petz Aladar County Teaching Hospital
• ClinicalTrials.gov Identifier: NCT04425941
• Other Study ID Numbers: PetzACTHospital
• First Posted: Jun 11, 2020
• Last Update Posted: Jun 11, 2020
• Last Verified: Jun 1, 2020

• Studies a U.S. FDA-regulated Drug Product: No
• Studies a U.S. FDA-regulated Device Product: No
• Additional relevant MeSH terms: Polyps

Study Results

No Results Posted as of Jun 11, 2020