Comparison of The Adenoma Detection Rate Between Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision and Standard Colonoscopy: A Randomized Controlled Study

What this Trial Is About

Researchers are investigating how to improve the detection of colon adenomas, which are important for preventing colorectal cancer. This randomized controlled trial compares three types of colonoscopy: one using artificial intelligence (AI) combined with Endocuff vision, one using AI alone, and one using standard colonoscopy. The study focuses on measuring the adenoma detection rate (ADR) to see if combining AI and Endocuff vision offers an advantage. The trial involves three groups assigned equally: the first group receives colonoscopy with AI and Endocuff vision devices; the second group receives AI-assisted colonoscopy alone; the third group undergoes standard colonoscopy without these devices. High-definition endoscopes under white light are used in all procedures. Experienced endoscopists perform the exams, confirming cecal intubation by identifying specific anatomical landmarks. Polyps found are measured, recorded, and removed by biopsy or polypectomy. Participants are adults over 40 undergoing colonoscopy for symptoms or screening at several hospitals. Researchers assess bowel preparation quality, polyp characteristics, and procedure times excluding polypectomy. The main outcome measured one month after colonoscopy is the adenoma detection rate. Secondary outcomes include various polyp detection rates and counts. This study aims to clarify whether combining AI and Endocuff vision improves detection compared to AI alone or standard methods.

Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision