Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision
Comparison of The Adenoma Detection Rate Between Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision and Standard Colonscopy: A Randomized Controlled Study
E-DA Hospital
1,000 participants
May 2, 2023
INTERVENTIONAL
Conditions
Summary
Adenoma detection rate (ADR) is considered the single most important quality measure in colonoscopy and a higher ADR can reduce the risk of interval colorectal cancer (CRC). Several kinds of new endoscopes and accessories have been accessed to investigate the abilities of improving the ADR. Artificial intelligence (AI) and Endocuff vision are promising new devices to improve the ADR. However, the effect of combining AI and Endocuff vision on ADR remains unclear. The aim of this prospective randomized study is to compare the ADR of AI plus Endocuff vision, AI alone and standard colonoscopy examination.
Eligibility
Inclusion Criteria1
- Patients over 20 years old are undergoing outpatient sedative colonoscopy in the E-Da Hospital, E-Da cancer Hospital and Chung Shan Medical University Hospital in Taiwan
Exclusion Criteria3
- A prior history of of inflammatory bowel disease, colorectal cancer, previous bowel resection, Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes
- Bleeding tendency
- For scheduled endoscopic treatment
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Interventions
ASUS EndoAim AI Endoscopy System (ASUS, Taiwan) is used to help the detection of colon adenoma
Endocuff vision (Olympus, UK) is used to help the detection of colon adenoma
High-definition endoscope (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) is used under white light for the detection of colon adenoma
Locations(1)
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NCT05863208