Abstract #3494

Preoperative MR Radiomics for Prediction of Progression and Recurrence in Non-functional Pituitary Macroadenomas

Ching-Chung Ko^1,2, Yang Zhang³, Jeon-Hor Chen^3,4, and Min-Ying Su³

¹Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, ²Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, ³Department of Radiological Sciences, University of California, Irvine, CA, CA, United States, ⁴Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan

A subset of nonfunctioning pituitary macroadenomas (NFPAs) may show early progression/recurrence (P/R) after surgery. In clinical practice, one of the main challenges in the treatment of NFPAs is to determine factors associated with P/R. This study investigated the role of preoperative MR radiomics based on support vector machine (SVM) for the prediction of P/R in NFPAs. The three most significant radiomic features selected by SVM were used to calculate SVM score for each patient. High SVM scores were associated with P/R and short progression-free survival in NFPAs.

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