Evaluating the Role of Quantitative Computed Tomography Image Feature Analysis in Gynecologic Cancers

Kathleen G. Essel, MD, a fellow at The University of Oklahoma Stephenson Cancer Center, discusses the role of quantitative computed tomography image feature analysis to predict response to immune checkpoint inhibitors in gynecologic cancers.

This is a new technology that identifies whether or not a patient will respond to treatment based on tumor imaging and RECIST criteria, says Essel. A computer detection scheme can determine which different features are present or absent, then make a score for patient response.