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Analysis of tongue characterization and construction of diagnostic model based on machine learning in the process of inflammation-cancer transformation of gastric precancerous lesions

Analysis of tongue characterization and construction of diagnostic model based on machine learning in the process of inflammation-cancer transformation of gastric precancerous lesions

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ITMCTR
Registry ID
ITMCTR2025000196
Enrollment
Unknown
Registered
2025-01-26
Start date
2024-12-01
Completion date
Unknown
Last updated
2025-02-03

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

Conditions

Precancerous Lesions Of Gastric Cancer

Interventions

Sponsors

Beijing Friendship Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Patients must be 18 years of age or older; 2.Undergo electronic endoscopy examination and pathological tissue examination when necessary; 3.Clinical diagnosis or pathological histology conforms to the diagnostic criteria for chronic gastritis or primary gastric cancer.

Exclusion criteria

Exclusion criteria: 1.Suffering from severe underlying diseases (such as coronary heart disease liver disease kidney disease or mental disorders etc.); 2.Pregnant or lactating women; 3.Recently took bismuth agents or other staining drugs.

Design outcomes

Primary

MeasureTime frame
Tongue diagram;Gastroscopic pathology report;

Secondary

MeasureTime frame
Basic information and lifestyle questionnaire;

Countries

China

Contacts

Public ContactNingning Dong

Beijing Friendship Hospital

dongnn83@163.com15210609987

Outcome results

None listed

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