Artificial Intelligence and Dysplasia Detection in Ulcerative Colitis (CUDISIA Study)

Impact of Artificial Intelligence in Dysplasia Detection During Colonoscopy in Patients With Long-data Ulcerative Colitis: a Crossover Study

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.

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.