Abstract #1908

Radiomics Approach for Prediction of Recurrence in Pituitary Macroadenomas

Ching-Chung Ko^1,2, Kai-Ting Chang³, Yang Zhang³, Jeon-Hor Chen^3,4, 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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