Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
Start Date
3/27/2024
Completion Date
6/30/2027
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.
Eligibility Criteria
Age Range: 55 years to No maximum
Interventions
Non-Interventional Study
Conditions
Locations
Mayo Clinic in Arizona
Scottsdale, Arizona 85259
United States
Mayo Clinic in Florida
Jacksonville, Florida 32224-9980
United States
Mayo Clinic in Rochester
Rochester, Minnesota 55905
United States