Clinical trial · Observational
Model Study on Cervical Cancer Screening Strategies and Risk Prediction
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
By collecting non-image medical data of women undergoing cervical screening in multiple centers in China, including age, HPV infection status, HPV infection type, TCT results, and colposcopy biopsy pathology results, a multi-source heterogeneous cervical lesion collaborative research big data platform was established. Based on artificial intelligence (AI) machine learning, cervical lesion screening features are refined, a multi-modal cervical cancer intelligent screening prediction and risk triage model is constructed, and its clinical application value is preliminarily explored.
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Artificial Intelligence | — | UNRESOLVED | — |
| Cervical Cancer Screening | — | UNRESOLVED | — |
| Machine Learning | — | UNRESOLVED | — |
| Risk Assessment | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Artificial intelligence model building | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (2)
- measure
- Cervical histopathology
- timeFrame
- within 8 weeks，
- description
- Cervical histopathological diagnosis within 8 weeks
- measure
- colposcopy
- timeFrame
- Percentage of patients diagnosed with cervical intraepithelial neoplasia of grade 3 (CIN3) or worse by cervical histopathological measurements within 8 weeks
- description
- Colposcopists use colposcopic equipment to investigate the occurrence of cervical and vaginal lesions within 8 weeks
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 25 Years
- Maximum age
- 64 Years
Show eligibility criteria text
Inclusion Criteria: * Age 25-64 years old; * There was no history of precancerous lesions or cervical cancer; * No previous cervical surgery or cervical removal; Exclusion Criteria: * HPV test results are not available; * Pregnant or lactating women; * There is a serious immune system disease, and the disease is active;
References
Publications (0)
Data not yet available