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Abstract #3910

Glioblastoma grading using perfusion parameters: comparing quantitative transport mapping method and kinetic modeling method

Qihao Zhang1, Gloria Chia-Yi Chiang2, Thanh Nguyen2, Pascal Spincemaille2, and Yi Wang1
1Cornell University, New York, NY, United States, 2Weill Cornell Medical College, New York, NY, United States

We purpose to test the performance of glioblastoma grading using several perfusion parameters: QTM velocity U, volume transfer constant Ktrans, and blood volume fraction Ve. For Ktrans and Ve calculated using extended Toft’s model, two arterial input function are used: one sampled from Carotid artery and one sampled from the feeding artery near the tumor. The result shows that U has the best classification accuracy comparing with other parameters.

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