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

Not Applicable
Active, not recruiting
Conditions
Inflammatory Bowel Diseases
Dysplasia
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
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Primary Outcome Measures
NameTimeMethod
"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
NameTimeMethod
Duration of endoscopic examinationImmediately 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

Trial Locations

Locations (1)

Antonio López-Serrano

🇪🇸

Valencia, Spain

Antonio López-Serrano
🇪🇸Valencia, Spain
Antonio López-Serrano, Ph.D.
Contact
0034656495490
anlopezs@comv.es

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