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

作者：Jin Huang, Wen-Na Liu, Yangyang Zhang, Xu-Qiang Bian, Lijuan Wang, Qiang Yang, Xi-Dou Zhang · 发表于：Saudi Journal of Gastroenterology · 年份：2019 · DOI：10.4103/sjg.sjg_377_19 · 被引用次数：181 · 研究领域：Colorectal Cancer Screening and Detection、AI in cancer detection、COVID-19 diagnosis using AI

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.