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Abstract #1908

Radiomics Approach for Prediction of Recurrence in Pituitary Macroadenomas

Ching-Chung Ko1,2, Kai-Ting Chang3, Yang Zhang3, Jeon-Hor Chen3,4, and Min-Ying Lydia Su3
1Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 2Department of Pharmacy, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 3Department of Radiological Sciences, University of California, Irvine, CA, United States, 4E-Da Hospital/I-Shou University, Kaohsiung, Taiwan

A subset of nonfunctioning pituitary macroadenomas (NFMAs) show early progression/recurrence (P/R) after surgery. In clinical practice, one of the main challenges in the treatment of NFMAs is to determine factors that correlate with P/R. This study investigated the role of radiomics for the prediction of P/R in NFMAs. 50 patients diagnosed with benign NFMAs were studied. Totally 214 descriptors were extracted from the various MR sequences. The prediction accuracy of P/R was 82% and the AUC of the prediction model was 0.78.

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