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Abstract #4178

Predicting WHO grade of brain glioma using inflow-based vascular-space-occupancy MR imaging at 3 Tesla

Yuankui Wu1, Shukun Liao1, Danni Wang2, Lichao Ma1, Jun Hua3,4, Yingjie Mei2, Jun Wang5, Jun Zhou6, and Yikai Xu1

1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China, 2School of Biomedical Engineering, Southern Medical University, Guangzhou, People's Republic of China, 3Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, United States, 5Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China, 6Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China

The purpose of this study is to investigate the feasibility of grading primary brain gliomas with inflow-based vascular-space-occupancy (iVASO) MRI. The iVASO MRI perfusion approach enables the quantitative analysis of physiological information of tumor without using exogenous contrast agent. The measured arteriolar cerebral blood volume (CBVa) showed a significant association with tumor grades as well as the capability to predict tumors grades. When exogenous contrast agent administration is difficult or contraindicated in certain patient populations, iVASO MRI may used as an option for the clinical management of brain tumors.

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