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An Artificial Intelligence-Based Endoscopic Diagnostic System for Early Gastric Cancer: A Multicenter Study

Research on New Technologies for Malignant Tumor Screening and Early Diagnosis: Development of an Artificial Intelligence-Based Endoscopic System for Gastric Cancer Risk Stratification and Early Gastric Cancer Identification

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128331
Enrollment
Unknown
Registered
2026-07-17
Start date
2025-02-01
Completion date
Unknown
Last updated
2026-07-20

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

Conditions

gastric cancer

Interventions

Gold Standard:Gastroscopic Pathology (Early Gastric Cancer)
Index test:AI-Based Endoscopic Diagnosis of Early Gastric Cancer

Sponsors

The First Affiliated Hospital of Zhejiang Chinese Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria: 1.Adult patients (aged 18 to 90 years), regardless of gender; 2.Underwent standardized gastroscopy examination (with at least 8 gastric images captured, including the cardia, upper gastric body, middle gastric body, lesser curvature, gastric angle, lower gastric body, gastric antrum, and pylorus); 3. Histologically confirmed as early gastric cancer (EGC); 4. Patients have traceable information available, including endoscopic diagnosis reports, pathological reports (except for the normal control group), and endoscopy model specifications.

Exclusion criteria

Exclusion criteria: Exclusion criteria: 1. Prior gastric chemo/radiotherapy; 2. Lesions near ulcers/scars; 3. Prior gastric surgery; 4. Gastric stump cancer or multiple synchronous lesions.

Design outcomes

Primary

MeasureTime frame
The AUC of diagnosing EGC;The sensitivity of diagnosing EGC;The accuracy of diagnosing EGC;Youden's index;

Countries

China

Contacts

Public ContactLv Bin

The First Affiliated Hospital of Zhejiang Chinese Medical University

drlvbin@163.com+86 139 0651 5409

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026