The Community Resource in Targeted Therapies
Driving Knowledge. Empowering Change. Optimizing Outcomes.
ONCAlert | Upfront Therapy for mRCC
Videos  >  

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

Kathleen G. Essel, MD
Published Online:9:27 PM, Wed March 20, 2019

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.

Essel says that this is a more quantitative type of work. As opposed to quantifying the size of the tumor, this method quantifies the qualitative aspects of the way the tumor appears on the imaging.
Copyright © TargetedOnc 2019 Intellisphere, LLC. All Rights Reserved.