FindTrial
Sign In

Establishment of a prediction model for postmenopausal endometrial cancer based on AI deep learning of ultrasound images

Establishment of a prediction model for postmenopausal endometrial cancer based on AI deep learning of ultrasound images

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035386
Enrollment
Unknown
Registered
2020-08-09
Start date
2020-09-01
Completion date
Unknown
Last updated
2020-08-10

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

Conditions

Endometrial cancer

Interventions

Case group:N/A
Control group:N//A

Sponsors

International Peace Maternity & Child Health Hospital of China welfare institute
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. Patients undergo a B-ultrasound examination and sign an informed consent form in the International Peace Maternity and Child Health Hospital Affiliated to Shanghai Jiaotong University School of Medicine, ; 2. Menopause; 3. Undergo hysteroscopy or curettage surgery, with complete pathology report after surgery (prediction cohort); 4. No history of malignant tumors.

Exclusion criteria

Exclusion criteria: 1. With a history of malignant tumors; 2. Patients who have not signed an informed consent form; 3. The investigator judged that the patient is not suitable to participate in this study.

Design outcomes

Primary

MeasureTime frame
Diagnosis rate of endometrial cancer after menopause;—

Countries

China

Contacts

Public ContactXu Hong

International Peace Maternity & Child Health Hospital of China welfare institute

xuhong1168@126.com+86 18017316266

Outcome results

None listed

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