The effectiveness of a computer-aided system in improving the detection rate of gastric neoplasm and early gastric cancer: study protocol for a multi-centre, randomized controlled trial

Author:

Dong Zehua,Zhu Yijie,Du Hongliu,Wang Junxiao,Zeng Xiaoquan,Tao Xiao,Yang Ting,Wang Jiamin,Deng Mei,Liu Jun,Wu Lianlian,Yu HonggangORCID

Abstract

Abstract Background This protocol is for a multi-centre randomised controlled trial to determine whether the computer-aided system ENDOANGEL-GC improves the detection rates of gastric neoplasms and early gastric cancer (EGC) in routine oesophagogastroduodenoscopy (EGD). Methods Study design: Prospective, single-blind, parallel-group, multi-centre randomised controlled trial. Settings: The computer-aided system ENDOANGEL-GC was used to monitor blind spots, detect gastric abnormalities, and identify gastric neoplasms during EGD. Participants: Adults who underwent screening, diagnosis, or surveillance EGD. Randomisation groups: 1. Experiment group, EGD examinations with the assistance of the ENDOANGEL-GC; 2. Control group, EGD examinations without the assistance of the ENDOANGEL-GC. Randomisation: Block randomisation, stratified by centre. Primary outcomes: Detection rates of gastric neoplasms and EGC. Secondary outcomes: Detection rate of premalignant gastric lesions, biopsy rate, observation time, and number of blind spots on EGD. Blinding: Outcomes are undertaken by blinded assessors. Sample size: Based on the previously published findings and our pilot study, the detection rate of gastric neoplasms in the control group is estimated to be 2.5%, and that of the experimental group is expected to be 4.0%. With a two-sided α level of 0.05 and power of 80%, allowing for a 10% drop-out rate, the sample size is calculated as 4858. The detection rate of EGC in the control group is estimated to be 20%, and that of the experiment group is expected to be 35%. With a two-sided α level of 0.05 and power of 80%, a total of 270 cases of gastric cancer are needed. Assuming the proportion of gastric cancer to be 1% in patients undergoing EGD and allowing for a 10% dropout rate, the sample size is calculated as 30,000. Considering the larger sample size calculated from the two primary endpoints, the required sample size is determined to be 30,000. Discussion The results of this trial will help determine the effectiveness of the ENDOANGEL-GC in clinical settings. Trial registration ChiCTR (Chinese Clinical Trial Registry), ChiCTR2100054449, registered 17 December 2021.

Funder

Artificial Intelligence Application Demonstration Scenario Project Wuhan

Science and Technology Achievement Transformation Platform Construction Project of Ministry of Education

National Natural Science Foundation of China-Youth Science Fund

Special projects for knowledge innovation of Wuhan

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Medicine (miscellaneous)

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