Abstract #1968

The Value of Multi-parametric MRI-Based Radiomics Model in Predicting the IDH1 Mutation in Glioma

Shao ru zhang¹, Zhi qiang Chen², Xiao hua Chen¹, Zhuo Wang¹, Yun shu Zhou¹, Shi li Liu¹, Ruo di Zhang¹, Yu hui Xiong³, and Bing Chen⁴

¹Clinical medicine school of Ningxia Medical University, Yinchuan, China, ²Department of Radiology ,the First Hospital Affiliated to Hainan Medical College, Haikou, China, ³GE Healthcare, Beijing, China, ⁴Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China

Synopsis

Keywords: Tumors, RadiomicsThis study aims to explore the value of multi-parametric MRI-based radiomics model for non-invasively predicting IDH1 mutation in glioma. It was shown that among various single-sequence radiomics models, the contrast-enhanced T1-weighted image radiomics model should be considered as an optimal model in predicting IDH1 mutation, while the combined model based on three sequences could further improve the predicting performance.

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