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

• Main Authors: Wen-Na Liu, Yang-Yang Zhang, Xu-Qiang Bian, Li-Juan Wang, Qiang Yang, Xi-Dou Zhang, Jin Huang
• Format: Article
• Language: English
• Published: Wolters Kluwer Medknow Publications 2020-01-01
• Series: The Saudi Journal of Gastroenterology
• Subjects: adenoma; artificial intelligence; colonoscopy; detection rate; polyp
• Online Access: http://www.saudijgastro.com/article.asp?issn=1319-3767;year=2020;volume=26;issue=1;spage=13;epage=19;aulast=Liu

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.