Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
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.
Age
55–any
Sex
FEMALE
Healthy volunteers
Not accepted
You may be eligible 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 be if
Diagnostic tests performed more than 90 days apart
Physical impediment/refusal to undergo transvaginal ultrasound (TVUS)
