Skip to content

Artificial Intelligence and Dysplasia Detection in Inflammatory Bowel Disease (EIIDISIA Study)

Effect of an Artificial Intelligence System on the Detection of Dysplasia During Colonoscopy in Patients With Long-standing Inflammatory Bowel Disease: a Randomized Study (EIIDISIA Study)

Status
Active, not recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06281392
Enrollment
122
Registered
2024-02-28
Start date
2023-11-15
Completion date
2025-11-20
Last updated
2025-08-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dysplasia, Inflammatory Bowel Diseases

Keywords

Inflammatory Bowel Disease, Virtual chromoendoscopy, NBI, CADe, Dysplasia

Brief summary

Randomized clinical study analyzing the efficacy of colonoscopy assisted by the Computer Aided Detection (CADe) system compared to virtual chromoendoscopy with Narrow Band Imaging (NBI) in the detection of colon dysplasia in patients with long-standing inflammatory bowel disease (IBD).

Interventions

DEVICENBI

Virtual colonoscopy assisted by NBI

Colonoscopy assisted by an artificial intelligence system (CADe).

Sponsors

University of Valencia
CollaboratorOTHER
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
TRIPLE (Subject, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adults (age ≥18 years). * Patients with IBD meeting the following criteria: * Diagnosis of IBD confirmed by clinical and histological evidence. * Disease extent (Montreal classification): 1) For Ulcerative Colitis (UC), Extensive colitis (E3): involvement proximal to the splenic flexure; or, Left-sided colitis (E2): involvement distal to the splenic flexure. 2) For Crohn's Disease (CD): Colon-only involvement (L2); or, Ileocolonic involvement (L3). * Disease duration \> 7 years. * Patients with concommitant Primary Sclerosing Cholangitis, regardless of the extent of colonic involvement and disease duration. * Written consent from the patient to undergo colonoscopy (signed informed consent).

Exclusion criteria

* Personal history of colorectal cancer (CRC). * Previous colectomy (partial or complete). * Coagulopathy preventing biopsy or polypectomy/mucosal resection. * Colonoscopy performed in the last 6 months. * Pregnant or lactating women. * Ulcerative colitis with involvement limited to the rectum or Proctitis (Montreal E1). * Inadequate colonic preparation due to uncleavable fecal residue during colonoscopy: Boston Bowel Preparation Scale (BBPS) = 0 or 1 in any colon segment. * Presence of inflammatory activity due to IBD on endoscopy:1) For UC: Endoscopic Mayo Score ≥ 2. 2) For CD: Simplified Endoscopic Activity Score (SES-CD) \> 5. * Incomplete lower digestive endoscopy (failure to reach the cecum).

Design outcomes

Primary

MeasureTime frameDescription
Per lesion dysplasia detection rate (DDR)Immediately after the procedureProportion of dysplastic lesions in relation to all the lesions analyzed that were detected by Artificial Intelligence System (CADe) or Virtual chromoendoscopy with NBI in patients with long-standing Inflammatory bowel disease who undergo surveillance colonoscopy
Per patient dysplasia detection rate (DDR)Immediately after the procedureProportion of patients with dysplastic lesions in relation to all the patients with long-standing Inflammatory bowel disease included in the study detected by Artificial Intelligence System (CADe) or Virtual chromoendoscopy with NBI

Secondary

MeasureTime frameDescription
Duration of endoscopic examinationImmediately after the procedureMedian (IQR) examination time (in minutes) (including total, insertion, and withdrawal time) required by Artificial Intelligence System (CADe) or Virtual chromoendoscopy with NBI

Countries

Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026