Keywords: Radiomics, Radiomics, glioma, survival, external validation
Motivation: Developing a prognostic score out of high-dimensional radiomics features could reflect the underlying pathophysiology of gliomas, enabling an easy-to-use tool for predicting patient prognosis.
Goal(s): To develop a radiomics-based risk score (RS) for a preoperative, noninvasive assessment of overall survival (OS) in gliomas.
Approach: T2w MRI of a local discovery dataset was used for developing RS, which was then externally validated on an independent dataset (UCSF-PDGM).
Results: The tumor grade, age, and RS were significantly associated with OS (P<0.005, for all). RS showed significant prognostic performance in both discovery and validation datasets (P=1.48E-8 and P=1.84E-15, respectively).
Impact: Risk stratification in gliomas based on RS could help identify high-risk patients, who may benefit from more aggressive treatment and closer follow-up, enabling personalized approach to care. The RS was established on preoperative T2w-MRI and stably predicts the glioma OS.
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