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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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