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Abstract #0416

Whole-tumor radiomics analysis of DKI and DTI may improve the prediction of genotypes for astrocytomas: a preliminary study

Yan Tan1,2, Wei Mu3, Xiaochun Wang1,2, Guoqiang Yang1,2, Robert James Gillies3, and Hui Zhang1,2
1Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan, China, 2College of Medical Imaging, Shanxi Medical University, Taiyuan, China, 3Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States

Assessment of glioma genotypes by quantifying MR diffusion imaging heterogeneity of whole tumour may serve as a powerful tool to instruct therapeutic decision-making. This study evaluated the role and incremental value of whole-tumor radiomics analysis based on DKI and DTI images in determining the IDH and MGMTmet genotypes of astrocytomas. A radiomics models based on whole-tumor MK and MD maps showed good diagnostic efficiency in predicting IDH and MGMTmet genotypes. Furthermore, the combined model constructed by radiomics score, edema degree and age further improved the performance of predicting IDH, while the combined model did not benefit for MGMTmet prediction.

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