Radiomics signatures for pathologic characterization of strictures on mr and ct enterography

Abstract

The present disclosure, in some embodiments, relates to a non-transitory computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, including accessing an imaging data set having one or more radiological images of a patient having Crohn's disease, the one or more radiological images including one or more intestinal strictures; identifying a plurality of determinative features from within the one or more intestinal strictures in the one or more radiological images, the plurality of determinative features being associated with one or more pathological features used to identify inflammation or fibrosis within an intestinal stricture; and applying a machine learning model to the plurality of determinative features to identify an extent of inflammation or fibrosis within the one or more intestinal strictures.