This study is to assess the sensitivity and added benefits of CADEYE compared to standard care (white-light) in detecting colon polyps in patients undergoing colonoscopy.
Failure in polyp recognition is a major determinant for the high rate of missed colorectal neoplasms. In response, technological advances have paved the way for Computer-Aided Polyp Detection (CAD-e) systems. Artificial intelligence systems allow of real-time computer- aided detection of polyps with high-accuracy. CADEYE is a CAD-e system (FUJIFILM) that enables real-time video processing at the same rate as the standard procedure. The data generated from this study will provide an estimate of the ADR throughout the Middle East as well as assess the accuracy of CADEYE in detecting adenomas in comparison to standard of care.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
1,000
CADEYE is a CAD-e system (FUJIFILM) that enables real-time video processing at the same rate as the standard procedure and and allows a real time computer aided detection of polyps with high accuracy.
Theodor Bilharz Research Institute
Giza, Egypt
RECRUITINGAdenoma detection rate
Adenoma detection rate is the primary end point which is the percentage of patients with at least 1 histologically proven adenoma or carcinoma.
Time frame: 1 year
Adenomas detected per colonoscopy
Time frame: 1 year
Proximal Adenoma detection rate
Time frame: 1 year
Withdrawal time
Time frame: 1 year
Non-neoplastic detection rate
Time frame: 1 year
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