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Abstract #4252

Textural Analysis Tool for Grading of Astrocytoma on Quantitative Susceptibility Mapping

Yihao Yao1, Ilhami Kovanlikaya2, Ramin Jafari3, Yi Wang2,4, and Wenzhen Zhu1

1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, People's Republic of China, 2Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 3Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States, 4Biomedical Engineering, Cornell University, Ithaca, NY, United States

The accuracy of grading astrocytic brain tumors using texture analysis (TA) on quantitative susceptibility mapping (QSM) was studied. For texture analysis training data set, most discriminant factor (MDF1) values were significantly different for low grade and high grade astrocytomas (p<0.01), as well as Grade II and III, Grade II and IV, Grade III and IV (p<0.01). For texture analysis test data set, 19/20 cases in differentiating low grade from high grade astrocytomas, 16/20 cases in Grade II, III and IV differentiation were correctly classified. TA promises to be a useful tool for grading astrocytoma on QSM.

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