PREDICTIVE MODELING OF THERAPEUTIC AGENT RESPONSE BASED ON A BODY COMPOSITION ANATOMICAL SEGMENTATION OF A CT SCAN

Abstract

A system and method of predictive modeling of therapeutic agent response based on body composition anatomical segmentation of a computer tomography (CT) scan. The method includes acquiring a single CT scan of one or more regions of a patient. The method includes segmenting the single CT scan to generate a volumetric segmentation (VS) mask indicative of a body composition anatomical segmentation of the patient. The method includes providing the VS mask to one or more predictive models trained to predict therapeutic agent responses based on the VS mask. The method includes generating, by a processing device, a predicted treatment response score to a treatment for the patient based on the VS mask and the one or more predictive models.

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