Trials / Recruiting
RecruitingNCT06365905
Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 300 (estimated)
- Sponsor
- Mayo Clinic · Academic / Other
- Sex
- Female
- Age
- 55 Years
- Healthy volunteers
- Not accepted
Summary
This study evaluates if AI can be used with transvaginal ultrasound images for early detection of endometrial cancer or premalignant lesions.
Detailed description
PRIMARY OBJECTIVE: I. Prospective validation of an artificial intelligence (AI) algorithm applied to transvaginal ultrasound (TVUS) to identify patients with premalignant/malignant in a population of women with postmenopausal bleeding (PMB). OUTLINE: This is an observational study. Patients undergo a transvaginal ultrasound examination and endometrial sampling per standard of care and have their medical records reviewed on study.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Non-Interventional Study | Non-Interventional Study |
Timeline
- Start date
- 2024-03-27
- Primary completion
- 2027-06-30
- Completion
- 2027-06-30
- First posted
- 2024-04-15
- Last updated
- 2025-07-18
Locations
3 sites across 1 country: United States
Source: ClinicalTrials.gov record NCT06365905. Inclusion in this directory is not an endorsement.