Artificial Intelligence and Dysplasia Detection in Inflammatory Bowel Disease (EIIDISIA Study)
- Conditions
- Inflammatory Bowel DiseasesDysplasia
- Registration Number
- NCT06281392
- Lead Sponsor
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana
- 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).
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- All
- Target Recruitment
- 122
Not provided
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method "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 (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 procedure Proportion 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 Outcome Measures
Name Time Method Duration of endoscopic examination Immediately after the procedure Median (IQR) examination time (in minutes) (including total, insertion, and withdrawal time) required by Artificial Intelligence System (CADe) or Virtual chromoendoscopy with NBI
Related Research Topics
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Trial Locations
- Locations (1)
Antonio López-Serrano
🇪🇸Valencia, Spain
Antonio López-Serrano🇪🇸Valencia, SpainAntonio López-Serrano, Ph.D.Contact0034656495490anlopezs@comv.es