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Abstract #4249

Texture analysis of quantitative ADC maps to differentiate  low from high grade glioma

Yingqiu Liuyang1, Jin Shang1, Yanwei Miao1, Shesnia Salim Padikkalakandy Cheriyath1, and Yan Guo2

1First Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China, 2GE Healthcare,Lifescience,China

The objective of this study, was to differentiate low from high grade glioma using texture analysis of quantitative ADC maps, and further aimed at revealing the microscopic changes of glioma in the evolution of low grade to high grade.Conclusion that texture analysis of ADC signal value based on entire tumor could provide more information in differentiation of low and high grade glioma. Through logistic regression analysis we obtain skewness, entropy,long run emphasis are the independent influence factors, and joint application of them showed superior diagnostic value.

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