Polyp Histology Prediction by Artificial Intelligence
Colorectal Polyp Histology Prediction by Artificial Ingelligence Method Based on NBI Colonoscopy Images.
1 other identifier
observational
1,200
0 countries
N/A
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2022
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 14, 2022
CompletedFirst Posted
Study publicly available on registry
September 19, 2022
CompletedStudy Start
First participant enrolled
October 31, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
March 31, 2024
CompletedSeptember 22, 2022
September 1, 2022
1.2 years
September 14, 2022
September 20, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Polyp histology accuracy by AI method
polyp histology prediction by AI
two weeks
Study Arms (6)
colonoscopy group1
Polypectomy, histological examination, NICE classification and AIPHP analyzis will be performed 200 patients.
colonoscopy group 2
Polypectomy, histological examination, NICE classification and AIPHP analyzis will be performed 200 patients
colonoscopy group 3
Polypectomy, histological examination, NICE classification and AIPHP analyzis will be performed 200 patients
colonoscopy group 4
Polypectomy, histological examination, NICE classification and AIPHP analyzis will be performed 200 patients
colonoscopy group 5
Polypectomy, histological examination, NICE classification and AIPHP analyzis will be performed 200 patients
colonoscopy group 6
Polypectomy, histological examination, NICE classification and AIPHP analyzis will be performed 200 patients
Interventions
polyp removal during colonoscopy
Eligibility Criteria
patients with colorectal polyps detected by colonoscopy
You may qualify if:
- colorectal polyps removed by polypectomy
You may not qualify if:
- colorectal polyps with IBD
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 3 Years
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 14, 2022
First Posted
September 19, 2022
Study Start
October 31, 2022
Primary Completion
December 31, 2023
Study Completion
March 31, 2024
Last Updated
September 22, 2022
Record last verified: 2022-09
Data Sharing
- IPD Sharing
- Will not share