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Abstract #1470

QTM Quantifies Velocity of Tumor Vasculature in Gliomas

Dominick Jon Romano1, Qihao Zhang1, Ilhami Kovanlikaya2, Gloria Chia-Yi Chiang2, Pascal Spincemaille2, and Yi Wang3
1Biomedical Engineering, Cornell University, New York, NY, United States, 2Radiology, Weill Cornell Medical College, New York, NY, United States, 3Radiology, Cornell University, New York, NY, United States


A recently proposed perfusion analysis method, Quantitative Transport Mapping (QTM), was applied in malignant Glioma (grade III and IV) to obtain the flow speed map. Pathological lesions were separated into DCE-Enhancing, Darkening, and total affected ROIs. The average speed scalar for each ROI suggests that DCE-Enhancing tumor presents with significantly increased speed while non-enhancing tumor does not experience a speed change.

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