Abstract #2577

The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas

Haimei Cao¹, Xiang Xiao¹, Jun Hua^2,3, Guanglong Huang⁴, Xiaodan Li¹, Wenle He¹, Jie Qin¹, and Yuankui Wu¹

¹Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, ²Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ⁴Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China

Glioma grading is vital for planning therapeutic approaches and assessing prognosis and response to treatment. Advanced MR imaging provides physiological information of brain tumors in microcirculation, cell and molecular levels, thus improving the preoperative prediction of glioma grade. In this study, we studied the value of combined inflow-based vascular-space-occupancy (iVASO) MR imaging and diffusion-weighted imaging (DWI) in preoperative prediction of gliomas grade. The results showed that combined iVASO and DWI improved the diagnostic performance of glioma grading. This suggests that the combined application of iVASO and DWI might be used as part of the routine brain tumor imaging protocol.

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