Abstract #3826

MR radiomic predictors of post-GKRS edema in meningiomas

Man-Chin Chen¹, Huai-Zhe Yang², Cheng-Chia Lee^2,3, Hsiu-Mei Wu^3,4, and Chia-Feng Lu¹

¹Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, ²Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan, ³School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ⁴Department of Radiology, Taipei Veteran General Hospital, Taipei, Taiwan

Synopsis

Several issues concerning the optimal parameters of radiosurgery treatment, the occurrence of radiation-induced edema, and other postoperative complications remain unsolved in treating meningiomas. We aimed to determine whether combining radiomic features with clinical risk factors can improve the prediction of edema occurrence after Gamma-Knife radiosurgery (GKRS). Pre-GKRS MR radiomic features and clinical features were used to construct the prediction model. The model combing radiomic features and clinical features showed the highest performance for prediction of post-GKRS edema (AUC＝0.79). The outcomes of this study can provide a risk assessment to facilitate precision medicine in treating meningiomas.

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