An observational study in Atrophic Gastritis, Artificial Intelligence and Endoscopy, sponsored by Shandong University. Recruiting at 1 site in China. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2024-04-12.
Sponsored by Shandong University · Observational
Grading endoscopic atrophy according to the Kimura-Takemoto classification can assess the risk of gastric neoplasia development. However, the false negative rate of chronic atrophic gastritis is high due to the varying diagnostic standardization and diagnostic experience and levels of endoscopists. Therefore, this study aims to develop an AI model to identify the Kimura-Takemoto classification.
Grading endoscopic atrophy according to the Kimura-Takemoto classification can assess the risk of gastric neoplasia development. The higher the score, the more severe the degree of atrophic gastritis. However, the false negative rate of chronic atrophic gastritis is high due to the varying diagnostic standardization and diagnostic experience and levels of endoscopists. Therefore, this study aims to develop an AI model to identify the Kimura-Takemoto classification of atrophic gastritis to achieve gastric cancer risk assessment.
196 studies on the registry are indexed under Gastritis; 42 are open to participants now.
This study's planned enrollment of 1,500 is above the median of 400 across 79 observational studies indexed under Gastritis.
Browse Gastritis studies →Shandong University is the lead sponsor of 284 studies on the registry; 59 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Consecutive patients who receive the gastrointestinal endoscopy examination and screened that fulfill the eligibility criteria at Qilu Hospital,Shandong University,Linyi County People's Hospital will be enrolled into the study
Patients aged 18-80 years who undergo the white light endoscope examination Informed consent form provided by the patient.
Exclusion Criteria:
Get pictures from gastric antrum,gastric angle,lesser curvature of gastric body, cardia, gastric fundus, greater curvature of gastric body by white light endoscope
Diagnostic Test: Diagnostic Test: The diagnosis of Artificial Intelligence and endosopists
Endosopists and AI will assess the Kimura-Takemoto classification independently when the patients is eligible.
Accuracy of AI model to diagnose the Kimura-Takemoto classification
Accuracy of AI model to diagnose the Kimura-Takemoto classification
Time frame: 2 years
Sensitivity of AI model to diagnose the Kimura-Takemoto classification
Sensitivity of AI model to diagnose the Kimura-Takemoto classification
Time frame: 2 years
Specificity of AI model to diagnose the Kimura-Takemoto classification
Specificity of AI model to diagnose the Kimura-Takemoto classification
Time frame: 2 years
The MIOU value of AI model in semantic segmentation of endoscopic atrophy picture
The MIOU value of AI model in semantic segmentation of endoscopic atrophy picture
Time frame: 2 years
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Shandong University