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A medical records based study for establishment of a multi-modal system to accurately predict cervical cancer lymphatic metastasis and its recurrence or survival prognosis based on artificial intelligence

Establish a multi-modal system to accurately predict cervical cancer lymphatic metastasis and its recurrence or survival prognosis based on artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035688
Enrollment
Unknown
Registered
2020-08-16
Start date
2020-09-01
Completion date
Unknown
Last updated
2020-08-17

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

Conditions

Cervical cancer

Interventions

None listed

Sponsors

Obstetrics and Gynecology Hospital of Fudan University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. Cervical cancer patients who underwent surgical treatment with pathological confirmation in our four institutions; 2. Had complete medical records; 3. Had complete follow-up data more than two years and received treatment from doctor's instructions; 4. Agreed to join in our study and signed the informed consent.

Exclusion criteria

Exclusion criteria: 1. Less than 18 years old; 2. Those who were pregnant; 3. Those who had prior malignancy; 4. Those who had preexisting chemotherapy or radiotherapy history for other conditions; 5. Those who declined to provide the follow-up data; 6. Those who participating other studies and can't enrolled in our study; 7. Those who died within 30 days after surgery.

Design outcomes

Primary

MeasureTime frame
Survival outcome;Recurrence status;Lymphatic metastasis status;—

Countries

China

Contacts

Public ContactJunjun Qiu

Obstetrics and Gynecology Hospital of Fudan University

qiujunjun1113@163.com+86 18017738139

Outcome results

None listed

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