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Application of artificial intelligence in ultrasound diagnosis of uterine and ovarian diseases

Application of artificial intelligence in ultrasound diagnosis of uterine and ovarian diseases

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092120
Enrollment
Unknown
Registered
2024-11-11
Start date
2024-11-30
Completion date
Unknown
Last updated
2024-11-18

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

Conditions

Diseases of the uterus and ovaries

Interventions

Control group:None

Sponsors

the First Affiliated Hospital of Anhui Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
20 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1) Common gynecological diseases: uterine fibroids, uterine sarcoma, endometrial cancer, gestational trophoblastic diseases, cervical cancer, benign and malignant ovarian tumors, endometriosis and other common gynecological diseases. 2) Age 20-80 years old 3) Be able to have surgical or puncture pathological results in our hospital.

Exclusion criteria

Exclusion criteria: 1) Those who have a major illness and still need to take medication to control their behavior. 2) Subjects with severe wasting disease and severe liver and kidney insufficiency 3) Unable to complete follow-up after enrollment or not operated on in our hospital 4)Obesity, poor image quality

Design outcomes

Primary

MeasureTime frame
transvaginal mass ultrasound images;

Secondary

MeasureTime frame
age;BMI;menopausal status;the presence or absence of abnormal vaginal bleeding;CA19-9;AFP;HE4;D-Dimer;CA125;

Countries

China

Contacts

Public ContactYi Zhou

The First Affiliated Hospital of Anhui Medical University

xiaodouziaimeili@163.com+86 157 1551 1277

Outcome results

None listed

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