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Abstract #2883

Radiomic Score as a Noninvasive Predictor of Overall Survival in Gliomas: A Multicenter Study

Esra Sümer-Arpak1, Ayca Ersen Danyeli2,3, M Necmettin Pamir3,4, Koray Özduman3,4, Alp Dinçer3,5,6, and Esin Ozturk-Isik1,3
1Institute of Biomedical Engineering, Boğaziçi University, İstanbul, Turkey, 2Department of Medical Pathology, Acibadem University, İstanbul, Turkey, 3Brain Tumor Research Group, Acibadem University, İstanbul, Turkey, 4Department of Neurosurgery, Acibadem University, İstanbul, Turkey, 5Department of Radiology, Acibadem University, İstanbul, Turkey, 6Neuroradiology Application and Research Center, Acibadem University, İstanbul, Turkey

Synopsis

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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