The effect of artificial intelligence system on the diagnosis rate of precancerous state of gastric cancer: a single center self-controlled clinical study
10.3760/cma.j.cn321463-20210706-00422
- VernacularTitle:人工智能系统对胃癌前状态检出率影响的单中心自身对照临床研究
- Author:
Ying LI
1
;
Qinghong XU
;
Lianlian WU
;
Honggang YU
Author Information
1. 武汉市第八医院消化内镜中心，武汉 430014
- Keywords:
Artificial intelligence;
Precancerous state;
Gastric mucosa atrophy;
Intestinal metaplasia
- From:
Chinese Journal of Digestive Endoscopy
2022;39(7):538-541
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the impact of artificial intelligence (AI) system on the diagnosis rate of precancerous state of gastric cancer.Methods:A single center self-controlled study was conducted under the premise that such factors were controlled as mainframe and model of the endoscope, operating doctor, season and climate, and pathology was taken as the gold standard. The diagnosis rate of precancerous state of gastric cancer, including atrophic gastritis (AG) and intestinal metaplasia (IM) in traditional gastroscopy (from September 1, 2019 to November 30, 2019) and AI assisted endoscopy (from September 1, 2020 to November 15, 2020) in the Eighth Hospital of Wuhan was statistically analyzed and compared, and the subgroup analysis was conducted according to the seniority of doctors.Results:Compared with traditional gastroscopy, AI system could significantly improve the diagnosis rate of AG [13.3% (38/286) VS 7.4% (24/323), χ2=5.689, P=0.017] and IM [33.9% (97/286) VS 26.0% (84/323), χ2=4.544, P=0.033]. For the junior doctors (less than 5 years of endoscopic experience), AI system had a more significant effect on the diagnosis rate of AG [11.9% (22/185) VS 5.8% (11/189), χ2=4.284, P=0.038] and IM [30.3% (56/185) VS 20.6% (39/189), χ2=4.580, P=0.032]. For the senior doctors (more than 10 years of endoscopic experience), although the diagnosis rate of AG and IM increased slightly, the difference was not statistically significant. Conclusion:AI system shows the potential to improve the diagnosis rate of precancerous state of gastric cancer, especially for junior endoscopists, and to reduce missed diagnosis of early gastric cancer.
