Saudi Journal of Gastroenterology

ORIGINAL ARTICLE
Year
: 2020  |  Volume : 26  |  Issue : 1  |  Page : 13--19

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


Wen-Na Liu, Yang-Yang Zhang, Xu-Qiang Bian, Li-Juan Wang, Qiang Yang, Xi-Dou Zhang, Jin Huang 
 Department of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China

Correspondence Address:
Dr. Jin Huang
Department of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou - 450000
China

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.


How to cite this article:
Liu WN, Zhang YY, Bian XQ, Wang LJ, Yang Q, Zhang XD, Huang J. Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy.Saudi J Gastroenterol 2020;26:13-19


How to cite this URL:
Liu WN, Zhang YY, Bian XQ, Wang LJ, Yang Q, Zhang XD, Huang J. Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy. Saudi J Gastroenterol [serial online] 2020 [cited 2020 Apr 7 ];26:13-19
Available from: http://www.saudijgastro.com/article.asp?issn=1319-3767;year=2020;volume=26;issue=1;spage=13;epage=19;aulast=Liu;type=0