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NCT05492656: GIC
Accuracy of CADx System for White Light Colonic Polyp Characterization
trial in Colonic Polyp in 500 participants. Completed in 5 November 2022.
5 November 2022
Quick facts
| Lead sponsor | Valduce Hospital |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 500 |
| Start date | 5 August 2022 |
| Primary completion | 5 November 2022 |
| Estimated completion | 5 November 2022 |
| Sites | 1 location across Italy |
Conditions studied
- Colonic Polyp — all drugs for Colonic Polyp →
- Adenoma Colon — all drugs for Adenoma Colon →
Sponsor
Valduce Hospital
Who can join
Adults 18 to 85, any sex, with Colonic Polyp or Adenoma Colon. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
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White light computer-aided optical diagnosis of diminutive colorectal polyps in routine clinical practice.
Rondonotti E, Bergna IMB, Paggi S, Amato A, et al · · 2024 · cited 4× · PMID 38774861 · DOI 10.1055/a-2303-0922
Verify or expand the search:
- PubMed search for NCT05492656
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Colonic Polyp
Currently open trials in the same condition.
- NCT06550908 — Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images · NA · recruiting
- NCT07456111 — A Comparison of Remimazolam Besylate and Propofol Sedation in Patients Undergoing Colonoscopic Polypectomy · Phase 4 · recruiting
- NCT06483503 — Extra Wide Field of View Lens Study · active not recruiting
- NCT06077435 — Comparative Analysis of AI Software for Enhanced Polyp Detection and Diagnosis · NA · recruiting
Other Valduce Hospital trials
Trials by the same sponsor.
- NCT05829447 — Combining Artificial Intelligence With Balloon Mucosal Exposure Device for Polyp Detection in Screening Individuals · NA · completed
- NCT04691401 — Impact of Artificial Intelligence (AI) on Adenoma Detection During Colonoscopy in FIT+ Patients. · NA · completed
- NCT04607083 — Impact of Computer-aided Optical Diagnosis (CAD) in Predicting Histology of Diminutive Rectosigmoid Polyps: a Multicente · completed
- NCT04364412 — Acute Lower gastroIntestinal BleedIng (ALIBI Study) in Italy · completed
- NCT03746171 — Blue Light Imaging (BLI) for Optical Diagnosis of Colorectal Polyps · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05492656 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Valduce Hospital
- Last refreshed: 26 March 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05492656.
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