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Abstract #4166

An application of histogram analysis for multiparameters from multimodal MRI combining DCE, IVIM-DWI and 3D-Asl in predicating the Glioma grading and survival

Lin-Feng Yan1, Xin Zhang1, Yu Han1, Yu-Chuan Hu1, Hai-Yan Nan1, Ying-Zhi Sun1, Zhi-Cheng Liu1, Yang Yang1, Wen Wang1, and Guang-Bin Cui1

1Tangdu Hospital, Xi'an, People's Republic of China

To find the early biomarkers for predicting the histological grading and prognosis of glioma, the study compared the discriminating efficiency of multiple metrics from DCE, Multi-b DWI and 3D-ASL with a histogram analysis approach, and further evaluated the combined accuracy and the survival association. The accuracy of assessing glioma grading and survival would not significantly improved by a univariate parameter, but highly promoted by combining the multiple parameters of histogram analysis from various MRI modality. We will further utilize the machine learning to evaluate the classifying accuracy.

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