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Updated: Jul 30, 2025
Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
Published on: January 22, 2018
The effectiveness of a computer-aided system in improving the detection rate of gastric neoplasm and early gastric
Zehua Dong1,2,3, Yijie Zhu1,2,3, Hongliu Du1,2,3
1Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
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.
