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 Hua^3,4, 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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