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NCT04754347
Computer Aided Detection of Polyps in Colonoscopy
NA trial testing Computer Aided Detection device in Colorectal Polyp in 1,472 participants. Completed in 31 October 2021.
31 October 2021
Quick facts
| Lead sponsor | Iterative Scopes, Inc |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | double |
| Primary purpose | screening |
| Enrollment | 1,472 |
| Start date | 22 January 2021 |
| Primary completion | 31 October 2021 |
| Estimated completion | 31 October 2021 |
| Sites | 5 locations across United States |
Drugs / interventions tested
- Computer Aided Detection device
Conditions studied
- Colorectal Polyp — all drugs for Colorectal Polyp →
Sponsor
Iterative Scopes, Inc
Who can join
40 and older, any sex, with Colorectal Polyp. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The aim of this study is to evaluate the clinical benefit and safety of using a computer aided detection device, Skout, for real-time polyp detection in colonoscopy procedures with the indication of screening or surveillance. One of the reasons for the development of interval colorectal cancers is polyps missed during colonoscopy. Our hypothesis is that with the aid of Skout, the adenomas detected per colonoscopy will increase, and it is plausible to believe that this increase in detection could reduce the incidence of interval cancers.
Publications & conference data
3 peer-reviewed publications reference this trial (live from Europe PMC):
-
Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial.
Shaukat A, Lichtenstein DR, Somers SC, Chung DC, et al · · 2022 · cited 99× · PMID 35643173 · DOI 10.1053/j.gastro.2022.05.028 -
Current Progress in Clinical Research in Secondary Prevention and Early Detection of Colorectal Cancer.
Partyka O, Pajewska M, Czerw A, Deptała A, et al · · 2025 · cited 2× · PMID 39941735 · DOI 10.3390/cancers17030367 -
Artificial Intelligence in Oncology: A 10-Year ClinicalTrials.gov-Based Analysis Across the Cancer Control Continuum.
Verma H, Mistry S, Jayam KV, Shrestha P, et al · · 2025 · PMID 41228330 · DOI 10.3390/cancers17213537
Verify or expand the search:
- PubMed search for NCT04754347
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Colorectal Polyp
Currently open trials in the same condition.
- NCT06791408 — Clinical Study on the Accuracy of Real-time AI-assisted Endocytoscopy in the Diagnosis of Colorectal Diminutive Polyps · recruiting
- NCT06715384 — Evaluation of a CAM System for Colorectal Polyp Size Measurement · NA · recruiting
- NCT06193356 — Detection of Endoscopic Resection Scars and Delineation of Recurrence is Trainable · NA · recruiting
- NCT06502704 — Bile Acids and Microbiome in Early Colorectal Carcinogenesis · recruiting
- NCT06447012 — Artificial Intelligence Development for Colorectal Polyp Diagnosis · recruiting
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 NCT04754347 (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 Iterative Scopes, Inc
- Last refreshed: 1 December 2021
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/NCT04754347.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing