Artificial Intelligence, Colon Polyp
Conditions
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).
Interventions
In this study, we collect colonoscopy video clips of polyps and, among the related clinical information, their estimated size using the gold standard technique, and we use them offline to evaluate the measurement performances of the novel virtual polyp sizing tool
Sponsors
Study design
Eligibility
Inclusion criteria
* Patients aged 18 years or older undergoing colonoscopy * Ability to provide written, informed consent (approved by EC) and understand the responsibilities of trial participation.
Exclusion criteria
* Patients with known contra-indications to colonoscopy * Patients who perform an emergency colonoscopy.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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 |
Countries
Italy