This study evaluates if AI can be used with transvaginal ultrasound images for early detection of endometrial cancer or premalignant lesions.
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.
Study Type
OBSERVATIONAL
Enrollment
300
Non-Interventional Study
Mayo Clinic in Arizona
Scottsdale, Arizona, United States
RECRUITINGMayo Clinic in Florida
Jacksonville, Florida, United States
RECRUITINGMayo Clinic in Rochester
Rochester, Minnesota, United States
RECRUITINGAccuracy of artificial intelligence (AI) algorithm applied to transvaginal ultrasound (TVUS)
Two static TVUS images (one longitudinal, one transversal) will be independently validated and compared to results of endometrial sampling. Outcomes from these will be compared with predictions made by the AI models for accuracy of assessing premalignant/malignant disease.
Time frame: Baseline
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