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

被引：139

作者：

Liu, Wen-Na ^{[1
]}

Zhang, Yang-Yang ^{[1
]}

Bian, Xu-Qiang ^{[1
]}

Wang, Li-Juan ^{[1
]}

Yang, Qiang ^{[1
]}

Zhang, Xi-Dou ^{[1
]}

Huang, Jin ^{[1
]}

机构：

[1] 988 Hosp Joint Logist Support Force PLA, Dept Digest Endoscopy, Zhengzhou 450000, Peoples R China

来源：

SAUDI JOURNAL OF GASTROENTEROLOGY | 2020年 / 26卷 / 01期

关键词：

Adenoma; artificial intelligence; colonoscopy; detection rate; polyp; COLORECTAL-CANCER; CLASSIFICATION; PREVENTION; DIAGNOSIS; LESIONS; RISK;

D O I：

10.4103/sjg.SJG_377_19

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

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.

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收藏

页码：13 / 19

页数：7

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