Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy

• Published in: Saudi journal of gastroenterology Vol. 26; no. 1; pp. 13 - 19
• Main Authors: Liu, Wen-Na, Zhang, Yang-Yang, Bian, Xu-Qiang, Wang, Li-Juan, Yang, Qiang, Zhang, Xi-Dou, Huang, Jin
• Format: Journal Article
• Language: English
• Published: India Wolters Kluwer India Pvt. Ltd 01.01.2020; Medknow Publications and Media Pvt. Ltd; Medknow Publications & Media Pvt. Ltd; Wolters Kluwer - Medknow; Wolters Kluwer Medknow Publications
• Subjects: adenoma; Adenoma - diagnosis; Adenoma - pathology; Adult; Artificial intelligence; Artificial Intelligence - statistics & numerical data; Biopsy; Colon; Colonic Polyps - diagnosis; Colonic Polyps - pathology; Colonoscopy; Colonoscopy - methods; Deep learning; detection rate; Diagnosis, Computer-Assisted - methods; Endoscopy; Female; Human error; Humans; Logistics; Machine learning; Male; Middle Aged; Neural networks; Nurses; Original; Performance evaluation; Polyethylene glycol; polyp; Polyps; Prospective Studies; Statistical analysis; Tumors; China; detection rate; polyp; Adenoma; colonoscopy; artificial intelligence
• ISSN: 1319-3767; 1998-4049; 1998-4049
• DOI: 10.4103/sjg.SJG_377_19

Background/Aim: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. Materials and Methods: A total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp. Results: Compared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05). Conclusions: The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.