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Model Study on Cervical Cancer Screening Strategies and Risk Prediction

F

Fujian Maternity and Child Health Hospital

Status

Completed

Conditions

Risk Assessment
Artificial Intelligence
Machine Learning
Cervical Cancer Screening

Treatments

Other: Artificial intelligence model building

Study type

Observational

Funder types

Other

Identifiers

NCT06204133
CSRM2304

Details and patient eligibility

About

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.

Full description

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. The effect of clinical application of the model was evaluated by internal data from Fujian Province and external data from several other regions in China.

Enrollment

1,112,846 patients

Sex

Female

Ages

25 to 64 years old

Volunteers

Accepts Healthy Volunteers

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;

Trial contacts and locations

7

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Central trial contact

Pengming Sun; Binhua Dong

Data sourced from clinicaltrials.gov

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