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Abstract #2881

MRS combined with enhanced silhouette in the prediction of malignant glioma radiomics classification

jing song1, hui qian zong1, ya zhang1, jing wang1, hong yang wei1, and li zhi xie2
1The Second Hospital of Hebei Medical University, Shijiazhuang, China, 2GE Healthcare, Beijing, China

Synopsis

Keywords: Radiomics, Brain, Magnetic resonance spectroscopy

Question: Among the studies using radiomics methods to predict glioma grading, most of them are based on conventional magnetic resonance imaging sequences, and functional magnetic resonance imaging is less studied.

Methods: This study predicted malignant glioma grading based on magnetic resonance structural images and magnetic resonance spectroscopy using an radiomics approach.

Results: The test set AUC of the model constructed based on T1-enhanced images and the ratio of three metabolites of MRS was 0.95.

Conclusion: Radiomics based on T1-CE and MRS has a good performance in identifying both grade III and grade IV gliomas.

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Keywords