Dysplasia, Ulcerative Colitis
Conditions
Keywords
Virtual chromoendoscopy, Artificial intelligence, iSCAN, Dysplasia
Brief summary
Prospective clinical study that analyzes the efficacy of colonoscopy assisted by an artificial intelligence system (DiscoveryTM) compared to virtual chromoendoscopy with iSCAN in the detection of colon dysplasia in patients with long-standing Ulcerative Colitis.
Interventions
Colonoscopy assisted by an artificial intelligence system (DiscoveryTM).
Virtual colonoscopy assisted by iSCAN
Sponsors
Study design
Eligibility
Inclusion criteria
* Ulcerative Colitis confirmed by endoscopy and histology. * Involvement 30% of the colonic surface (or any extent if concomitant with PSC). * Duration of the disease \>7 years (or any duration if concomitant with PSC).
Exclusion criteria
* Personal history of colorectal cancer or high-grade dysplasia. * Previous colectomy (partial or complete). * Coagulopathy that prevents biopsies or polypectomy. * Colonoscopy performed in the previous 6 months. * Pregnant or nursing women. * Inadequate bowel preparation. * Presence of endoscopic Ulcerative Colitis activity. * Colonic stenosis and incomplete colonoscopy.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Per lesion dysplasia detection rate (DDR) | Immediately after the procedure. | Proportion of dysplastic lesions in relation to all the lesions analyzed that were detected by Artificial Intelligence System (DiscoveryTM) or Virtual chromoendoscopy with iSCAN in patients with long-standing Ulcerative Colitis who undergo surveillance colonoscopy. |
| Per patient dysplasia detection rate (DDR) | Immediately after the procedure. | Proportion of patients with dysplastic lesions in relation to all the patients with long-standing Ulcerative Colitis included in the study detected by Artificial Intelligence System (DiscoveryTM) or Virtual chromoendoscopy with iSCAN. |
Countries
Spain