Colonic Polyp Size Measurement With Artificial Intelligence
- Conditions
- Colon PolypArtificial 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
Not provided
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Accuracy for categorical distribution of polyp size at 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
Name Time Method Accuracy for continous determination of polyp size at 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