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

Detailed criteria

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

Other
Non-Interventional Study
Non-Interventional Study

Locations (3)

Mayo Clinic in Arizona
Scottsdale, Arizona
mayocliniccancerstudies@mayo.edu 855-776-0015
Mayo Clinic in Florida
Jacksonville, Florida
mayocliniccancerstudies@mayo.edu 855-776-0015
Mayo Clinic in Rochester
Rochester, Minnesota
mayocliniccancerstudies@mayo.edu 855-776-0015