Last reviewed · How we verify
NCT05734820
Computer-aided Detection During Screening Colonoscopy
NA trial testing HD- colonoscopy in Colorectal Polyp in 312 participants. Status unknown.
11 June 2024
Quick facts
| Lead sponsor | Instituto Ecuatoriano de Enfermedades Digestivas |
|---|---|
| Phase | NA |
| Status | Status unknown |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | crossover |
| Masking | single |
| Primary purpose | diagnostic |
| Enrollment | 312 |
| Start date | 11 January 2020 |
| Primary completion | 11 June 2024 |
| Estimated completion | 1 September 2024 |
| Sites | 1 location across Ecuador |
Drugs / interventions tested
- HD- colonoscopy
- HD-colonoscopy assisted by AI
Conditions studied
- Colorectal Polyp — all drugs for Colorectal Polyp →
- Colorectal Cancer — all drugs for Colorectal Cancer →
- Colorectal Adenoma — all drugs for Colorectal Adenoma →
Sponsor
Instituto Ecuatoriano de Enfermedades Digestivas — full company profile →
Who can join
Adults 45 to 89, any sex, with Colorectal Polyp or Colorectal Cancer. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Nowadays, colonoscopy is considered the gold standard for the detection of lesions in the colorectal mucosa. However, around 25% of polyps may be missed during the conventional colonoscopy. Based on this, new technological tools aimed to improve the quality of the procedures, diminishing the technical and operator-related factors associated with the missed lesions. These tools use artificial intelligence (AI), a computer system able to perform human tasks after a previous training process from a large dataset. The DiscoveryTM AI-assisted polyp detector (Pentax Medical, Hoya Group, Tokyo, Japan) is a newly developed detection system based on AI. It was designed to alert and direct the attention to potential mucosal lesions. According to its remarkable features, it may increase the polyp and adenoma detection rates (PDR and ADR, respectively) and decrease the adenoma miss rate (AMR). Based on the above, the investigators aim to assess the real-world effectiveness of the DiscoveryTM AI-assisted polyp detector system in clinical practice and compare the results between expert (seniors) and non-expert (juniors) endoscopists.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT05734820
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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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 NCT05734820 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Instituto Ecuatoriano de Enfermedades Digestivas
- Last refreshed: 28 September 2023
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/NCT05734820.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing