Abstract #2965

Radiomic Features on Diagnostic Magnetic Resonance Enterography Appear to Predict Patient Outcome Following Treatment of Crohn’s Disease: Preliminary Results

Cheng Lu¹, Maneesh Dave², H. Matthew Cohn², Prateek Prasanna¹, Jeffrey Katz², Rajmohan Paspulati³, Anant Madabhushi¹, and Satish Viswanath¹

¹Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ²Digestive Health Institute, University Hospital, Case Western Reserve University, Cleveland, OH, United States, ³Dept of Radiology, University Hospital, Case Western Reserve University, Cleveland, OH, United States

We present initial results of identifying radiomic features (computer-extracted image features from radiography) from baseline diagnostic Magnetic Resonance Enterography (MRE) scans to discriminate patients who will and will not respond to initial therapy for Crohn’s Disease. Feature selection was employed to identify the most discriminatory features, followed by principal component analysis to identify an optimal combination of these features. In a cohort of 11 patients, the radiomic feature combination was able to successfully distinguish between responders and non-responders with only 1 misclassification. Multi-scale oriented gradient (Gabor) features appeared to best capture subtle inflammation-related imaging characteristics on MRE and hence most predictive of patient outcome.

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