Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
Mayo Clinic
Summary
This study evaluates if AI can be used with transvaginal ultrasound images for early detection of endometrial cancer or premalignant lesions.
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
- Age range
- 55+ years
- Sex
- Female
- Healthy volunteers
- No
Inclusion Criteria: * 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 Exclusion Criteria: * Diagnostic tests performed more than 90 days apart * Physical impediment/refusal to undergo transvaginal ultrasound (TVUS)
Interventions
- OtherNon-Interventional Study
Non-Interventional Study
Locations (3)
- Mayo Clinic in ArizonaScottsdale, Arizona
- Mayo Clinic in FloridaJacksonville, Florida
- Mayo Clinic in RochesterRochester, Minnesota