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Clinical application of hierarchical risk management system for cervical cancer and precancerous lesions based on deep learning(modeling)

Clinical application of hierarchical risk management system for cervical cancer and precancerous lesions based on deep learning(modeling)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200066307
Enrollment
Unknown
Registered
2022-12-01
Start date
2022-12-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Cervical cancer and precancerous lesions

Interventions

ambispective cohort:DNA Methylation detection
retrospective cohort:Collect existing clinical data
ambispective cohort:Collect clinical data and results of LCT,HPV and colposcopy
ambispective cohort:regular follow-up(within 12 months with LCT,HPV and colposcopy)

Sponsors

International Peace Maternity and Child Health Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: Retrospective cohort included patients diagnosed as CIN by colposcopy and cervical biopsy in our hospital from 2010 to 2020 The patients with CIN diagnosed by colposcopy and cervical biopsy in our hospital since January 2022 were included in an ambispective cohort.

Exclusion criteria

Exclusion criteria: Less than 20 years old Incomplete data Treated and followed-up in other hospital Combined with other malignant tumors

Design outcomes

Primary

MeasureTime frame
DNA methylation detection;LCT;HPV;colposcopy;—

Countries

China

Contacts

Public ContactCao Dan

International Peace Maternity and Child Health Hospital

caodan1272@163.com13671653526

Outcome results

None listed

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