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CompletedNCT05492656GICUpdated Mar 26, 2024

Accuracy of CADx System for White Light Colonic Polyp Characterization

An observational study in Colonic Polyp and Adenoma Colon, sponsored by Valduce Hospital. Completed at 1 site in Italy. Open to participants aged 18 Years to 85 Years. Per ClinicalTrials.gov, last updated 2024-03-26.

Sponsored by Valduce Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
500
Ages
18 Years to 85 Years
Sex
All
01

Study summary

The endoscopist performances in the optical diagnosis (OD) of colonic polyps with the available technologies vary widely across centers and across endoscopists. The OD process is strictly related to the operator training and expertise. Most of the available studies in optical characterization have been carried out by expert endoscopist in tertiary high volume centers, and weren't replied on large unselected populations. For these reasons, at the moment the optical characterization of polypoid lesions can't replace, in the everyday clinical practice, the histopathological evaluation of resected polyps. Artificial intelligence (AI)-based systems have the potential to make optical characterization process of colonic polyps easier and more reliable, thus supporting the endoscopist in the application of leave-in-situ and of resect-and-discard strategies. The implementation of such strategies would lead to a significant economic saving and a decrease of risks and complications related to unnecessary polypectomy. GI-Genius System (Medtronic Inc, Minneaopolis, USA) is a CNN-based algorithm allowing an automatic OD of colonic polyps. This system does not require dedicated light setting for polyp evaluation as it works with white light high definition images, which are the actual standard in every endoscopic unit. During colonoscopy, when a polyp is framed within the screen, a green detection box surrounds the polyp and the system automatically provides (whenever possible) the optical diagnosis labeling the polyp as "adenoma or non-adenoma". When the automatic polyp charaterization is unfeasible the label "no prediction" appears. Nowadays only few data about the feasibility and performances of this system in clinical practice are available. In addition published studies are mostly focused on technical rather thann clinical issues. The present prospective observational trial is primarily aimed at evaluating the diagnostic accuracy of optical characterization of colonic polyps \<= 1 cm using GI-Genius System in daily clinical practice, having histopathology examination as reference standard.

02

Conditions studied

  • Colonic Polyp
  • Adenoma Colon

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03

In context

Colonic Polyps

377 studies on the registry are indexed under Colonic Polyps; 57 are open to participants now.

This study's enrollment of 500 is above the median of 411 across 115 observational studies indexed under Colonic Polyps.

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Lead sponsor

Valduce Hospital is the lead sponsor of 29 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Consecutive adults (18-85 years) outpatients referred for colonoscopy are invited to participate in the present study.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Consecutive outpatients undergoing colonoscopy for one of the following indication:

  • FIT-based screening program
  • voluntary screening
  • post-polipectomy surveillance
  • gastrointestinal symptoms
  • family history of colorectal cancer.

Exclusion criteria

Exclusion Criteria:

  • urgent colonoscopy
  • patients in which polyps could not be resected (e.g ongoing anticoagulation therapy)
  • patients with past colorectal cancer or polyposis syndrome
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
500 participants (actual)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Diagnostic accuracy of CADx in evaluating small colonic polyps

    Numer of correctly characterized polyps using AI/total number of detected polyps

    Time frame: Entire study duration (3 months)

Secondary outcomes

  1. Feasibility of CADx in evaluating small colonic polyps

    Number of characterizable polyps using AI/total number of detected polyps

    Time frame: Entire study duration (3 months)

  2. Sensitivity

    CADx sensitivity (rate of TP/TP+FN) will be calculated having histopathology as reference standard and according to polyp size and location

    Time frame: Entire study duration (3 months)

  3. specificity

    CADx specificity (rate of TN/TN+FP) will be calculated having histopathology as reference standard according to polyp size and location

    Time frame: Entire study duration (3 months)

  4. Positive predictive value

    CADx positive predictive value (rate of TP/TP+FP) will be calculated having histopathology as reference standard according to polyp size and location

    Time frame: Entire study duration (3 months)

  5. Negative predictive value

    CADX negative predictive value (rate of TN/TN+FN) will be calculated having histopathology as reference standard according to polyp size and location

    Time frame: Entire study duration (3 months)

07

Study locations

1 site
  • Gastroenterology Unit, Valduce Hospital
    Como, 22100, Italy
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 26, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05492656
Lead sponsor
Valduce Hospital
Responsible party
Franco Radaelli (Head of Gastroenterology Unit, Valduce Hospital) — Principal investigator
First posted
Aug 8, 2022
Start date
Aug 5, 2022
Primary completion
Nov 5, 2022
Completion
Nov 5, 2022
Last update
Mar 26, 2024

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Mar 2024. You cannot join it, but the record below documents what was studied.

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