Abstract #2118

The application value of Radiomics combined with clinical features and genomics in predicting glioma survival

Jinlong He¹, Yang Gao¹, Shaoyu Wang², and Huapeng Zhang²

¹Department of Imaging Diagnosis, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, ²MR Scientific Marketing, Siemens Healthineers, Shanghai, China

Synopsis

Keywords: Tumors, RadiomicsThis study aimed to explore the value of MR multi-sequence radiomics combined with clinical features and genomics in predicting the survival of patients with glioma. Results showed that the clinical and imaging characteristics, radiomics features, and genotype status were important risk factors for glioma survival. The combination of multiple factors can better predict and evaluate the prognosis of glioma. Multi sequence based radiomics combined with clinical and imaging features and genotype status can better reflect the heterogeneity and prognosis of glioma.

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