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Research on lymph node invasion based on machine learning The relationship between area and prognosis of gastric cancer and colorectal cancer Clinical research protocol

Research on lymph node invasion based on machine learning The relationship between area and prognosis of gastric cancer and colorectal cancer Clinical research protocol

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300070629
Enrollment
Unknown
Registered
2023-04-18
Start date
2023-04-18
Completion date
Unknown
Last updated
2023-06-04

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

Conditions

colorectal cancer

Interventions

Group of colorectal cancer:No intervention measures

Sponsors

The First Affiliated Hospital of Air Force Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Patients with gastric cancer or colorectal cancer confirmed by tissue or cellular pathology, with complete clinical and pathological data, aged over 18 years old

Exclusion criteria

Exclusion criteria: No regional lymph node metastasis; Severe fading or missing of H&E slices; Received preoperative radiation and chemotherapy; Merge with other primary tumors; Accompanied by distant metastasis

Design outcomes

Primary

MeasureTime frame
Pathological section lymph nodes;—

Countries

China

Contacts

Public ContactJipeng Li

The First Affiliated Hospital of Air Force Medical University

jipengli1974@aliyun.com+86 13991316190

Outcome results

None listed

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