Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
Recruiting now
Conditions studied: Endometrial Carcinoma
In brief
This study evaluates if AI can be used with transvaginal ultrasound images for early detection of endometrial cancer or premalignant lesions.
Key facts
- Study ID
- NCT06365905
- Run by
- Mayo Clinic
- People needed
- 300
- Starts
- 2024-03-27
- Expected to finish
- 2027-06-30
- Last updated by the study team
- 2026-06-10
Who can join
Age: 55 and older. Sex: female. Healthy volunteers: not accepted.
You may qualify if…
- Age ≥ 55 years
- At least one episode of postmenopausal bleeding (PMB)
- Endometrial biopsy available from at Mayo Clinic (MN, AZ, FL), Mayo Clinic Health System (MCHS), or an external institution
- Acceptance to participate in the study
You may not qualify if…
- Diagnostic tests performed more than 90 days apart
- Physical impediment/refusal to undergo transvaginal ultrasound (TVUS)
Where it is running
- Mayo Clinic in Arizona — Scottsdale, Arizona, United States (enrolling)
- Mayo Clinic in Florida — Jacksonville, Florida, United States (enrolling)
- Mayo Clinic in Rochester — Rochester, Minnesota, United States (enrolling)
Full record on ClinicalTrials.gov
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