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Abstract #2126

Histogram model of MRI arteriolar blood volume in detecting subclinical recurrence of high-grade glioma after chemoradiotherapy

Yuankui Wu1, Zhousan Huang1, Yingxia Huang1, Mingxi Li1, Haimei Cao1, Guanglong Huang2, Hao Zhang1, and Yikai Xu1
1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China

Synopsis

Keywords: Tumors, Perfusion, Inflow-based vascular space occupancy (iVASO)Early detection of disease progression is of important relevance for the management of high-grade glioma (HGG) patients. Related studies showed that perfusion-weighted MR imaging (PWI) has power to detect early recurrence of glioblastoma. Inflow-based vascular space occupancy (iVASO) is a noninvasive perfusion technology that can provide absolute blood volume of precapillary arterioles (arteriolar blood volume, BVa). In this preliminary study, the potential value of BVa in detecting subclinical recurrence of HGG was investigated. The results showed that the histogram features of BVa might have the potential to detect subclinical recurrence.

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Keywords