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Study on automatic staging of cervical cancer

Application of natural language model in postoperative pathological analysis of cervical cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500107179
Enrollment
Unknown
Registered
2025-08-05
Start date
2025-08-05
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Cervical cancer

Interventions

Gold Standard:The staging diagnosis made by gynecological oncologists based on the pathology report was used as the gold standard.
Index test:The staging diagnosis and risk factor extraction results made by the natural language model based on the pathology report are compared with the expert diagnosis.

Sponsors

Shanghai General Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1.Pathological diagnosis of cervical cancer.

Exclusion criteria

Exclusion criteria: 1.Patients whose staging is difficult to be accurately determined based on the pathology report alone (e.g., the report does not indicate the tumor size, invasion depth, extent of invasion, and lymph node metastasis, etc.).

Design outcomes

Primary

MeasureTime frame
Diagnostic score;

Countries

China

Contacts

Public ContactChen Xuming

Shanghai General Hospital

xuming0124@126.com+86 21 37798364

Outcome results

None listed

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