WashU Alumni

Diagnosis of endometrial cancer, the most common gynecologic cancer, requires an often painful and invasive biopsy that may produce false negatives.

A multidisciplinary research team at WashU and Siteman Cancer Center, based at Barnes-Jewish Hospital and WashU Medicine, is investigating a faster, safer, and noninvasive imaging method which, combined with machine learning, could provide accurate detection and diagnosis of precancerous lesions and early cancers.

Quick optical biopsy could be early detection method for endometrial cancer Biomedical engineer Quing Zhu and WashU Medicine collaborators combined optical coherence tomography and machine learning for a rapid, accurate test for endometrial cancer.