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Construction of an Artificial Intelligence-based Non-invasive Screening System with Dual Maternal-Fetal Dimensions and Its Application in Detecting Chromosomal Abnormalities

Construction of an Artificial Intelligence-based Non-invasive Screening System with Dual Maternal-Fetal Dimensions and Its Application in Detecting Chromosomal Abnormalities

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113119
Enrollment
Unknown
Registered
2025-11-25
Start date
2025-11-30
Completion date
Unknown
Last updated
2025-12-01

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

Conditions

Turner syndrome,Klinefelter syndrome, Jacobs syndrome, Triple X syndrome

Interventions

NIPT group:NA
Maternal-Fetal Dual-Dimensional Analysis Method Group:NA

Sponsors

The People’s Hospital of Guangxi Zhuang Autonomous Region
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
15 Years to 55 Years

Inclusion criteria

Inclusion criteria: 1.NIPT testing data from our hospital from 2015 to 2024 (approximately 50,000 cases), complete with clinical data, raw sequencing data, post-analysis data, and follow-up data.

Exclusion criteria

Exclusion criteria: 1.Existing NIPT samples already marked as failed, as well as data with missing maternal clinical information or lost to follow-up.

Design outcomes

Primary

MeasureTime frame
True Positive Rate;—

Secondary

MeasureTime frame
Maternal Abnormality Detection Rate;False Positive Rate;—

Countries

China

Contacts

Public ContactZhang Peng

The People’s Hospital of Guangxi Zhuang Autonomous Region

zhp303170003@163.com+86 771 2186779

Outcome results

None listed

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