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Combined application of artificial intelligence in ME-NBI endoscopy and pathological images: Study of auxiliary diagnostic system for early gastric cancer and precancerous lesions

Combined application of artificial intelligence in ME-NBI endoscopy and pathological images: Study of auxiliary diagnostic system for early gastric cancer and precancerous lesions

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400087903
Enrollment
Unknown
Registered
2024-08-07
Start date
2024-08-07
Completion date
Unknown
Last updated
2024-08-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastric cancer and its precancerous lesions

Interventions

Gold Standard:Patients with pathological diagnosis of early gastric cancer (including high-grade intraepithelial neoplasia), low-grade intraepithelial neoplasia, intestinal metaplasia,and chronic gast
Index test:Criteria for the completion of the study: researchers include sufficient sample size, establish an AI-assisted diagnostic system, and verify that it has good diagnostic effects. 1. ME-NBI i

Sponsors

Shanghai General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Eligible subjects to be included in this study had to meet all of the following criteria: 1. Patients with superficial gastric mucosal lesions on ME-NBI endoscopy 2. Early gastric cancer (including high-grade intraepithelial neoplasia) confirmed by pathology), low-grade intraepithelial neoplasia, intestinal metaplasia, or chronic gastritis 3. ME-NBI images contained intact lesions 4. Have complete pathological images

Exclusion criteria

Exclusion criteria: Subjects who met any of the following criteria were not eligible for inclusion in this study. 1. Lack of pathological images corresponding to ME-NBI images 2. The image quality of ME-NBI was poor, such as out of focus, bleeding, mucus attachment, etc. 3. Esophageal and duodenal lesions.

Design outcomes

Primary

MeasureTime frame
accuracy;sensitivity;specificity;receiver operating characteristic curve, ROC curve;kappa-test;

Secondary

MeasureTime frame
positive predictive value;negative predictive value;

Countries

China

Contacts

Public ContactHui Zhou

Shanghai General Hospital

MDzhouhui@163.com+86 130 3217 2900

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026