MedPath

Colonic Polyp Size Measurement With Artificial Intelligence

Completed
Conditions
Colon Polyp
Artificial Intelligence
Registration Number
NCT06073405
Lead Sponsor
University of Roma La Sapienza
Brief Summary

Primary objective of the study is to evaluate if the novel virtual polyp sizing tool accuracy in determining the size class of polyps among diminutive (0-5 mm), small (6-9 mm) and large (10 mm and above).

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
225
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Accuracy for categorical distribution of polyp sizeat study completion (this outcome is not an outcome measured from Time A to Time B but an outcome measured in one time point for all the colonoscopies performed in the study.

1. Accuracy of the novel virtual polyp sizing tool in the determination of polyp size class among diminutive (0-5 mm), small (6-9 mm) and large (10 mm and above) as compared to the size estimated in-vivo by performing endoscopists with the help of a side-by-side forceps of known size

Secondary Outcome Measures
NameTimeMethod
Accuracy for continous determination of polyp sizeat study completion (this outcome is not an outcome measured from Time A to Time B but an outcome measured in one time point for all the colonoscopies performed in the study.

1. Polyp size in mm as determined by the novel virtual polyp sizing tool as compared to the size estimated in-vivo by performing endoscopists with the help of a side-by-side forceps of known size

Trial Locations

Locations (1)

Ospedale dei Castelli

🇮🇹

Ariccia, Rome, Italy

© Copyright 2025. All Rights Reserved by MedPath