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The Study of Learning Curves for the Identification of Normal and Abnormal Uterosacral Ligaments Using Transvaginal Ultrasound with the Assistance of Deep Learning Models

The Study of Learning Curves for the Identification of Normal and Abnormal Uterosacral Ligaments Using Transvaginal Ultrasound with the Assistance of Deep Learning Models

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500095672
Enrollment
Unknown
Registered
2025-01-10
Start date
2025-01-10
Completion date
Unknown
Last updated
2025-01-13

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

Conditions

None

Interventions

Gold Standard:Diagnosis by senior experts based on expert consensus (supplement to the consensus opinion of the International Deep Endometriosis Analysis (IDEA) group: ultrasound evaluation of paramet
Index test:Deep learning models

Sponsors

Shenzhen Second People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 55 Years

Inclusion criteria

Inclusion criteria: 1.Participants voluntarily join the study and sign an informed consent form. 2.Female patients aged 18 to 55 who visit the Ultrasound Department of Shenzhen Second People's Hospital from December 2024 to June 2025.

Exclusion criteria

Exclusion criteria: 1.Women without a history of sexual intercourse or with congenital reproductive tract anomalies who cannot undergo Transvaginal Sonography (TVS) examination. 2.Women with a history of hysterectomy. 3.Pregnant women.

Design outcomes

Primary

MeasureTime frame
Scanning time;Accuracy;—

Secondary

MeasureTime frame
Tolerability assessment (5-point Likert scale);Image quality score;—

Countries

China

Contacts

Public ContactQiuxiang Chen

Shenzhen Second People's Hospital

616441594@qq.com+86 13612808966

Outcome results

None listed

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