Abstract #2734

Identification of IDH1 mutation status in glioblastoma using multi-delay 3D arterial spin labeling perfusion MRI: a pilot study

Huilou Liang^1,2, Lianwang Li³, Yuchao Liang³, Siqi Cai⁴, Jing An⁵, Yan Zhuo^1,2,6, Lijuan Zhang⁴, Danny JJ Wang⁷, and Rong Xue^1,2,8

¹State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, ²University of Chinese Academy of Sciences, Beijing, China, ³Department of Neurosurgery, Beijing Tiantan Hospital of Capital Medical University, Beijing, China, ⁴Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, ⁵Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, ⁶CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China, ⁷Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, ⁸Beijing Institute for Brain Disorders, Beijing, China

Arterial spin labeling (ASL) perfusion MRI with single post-labeling delay (PLD) has been used to noninvasively predict the IDH1 mutation status in glioblastoma patients. However, single-delay ASL can make inaccurate estimations of cerebral blood flows (CBF) due to the variability of arterial transit times (ATT) among individuals. In this study, we applied multi-delay 3D ASL technique with multiple hemodynamic parameters including quantitative ATT, ATT-corrected CBF and arterial cerebral blood volume (aCBV) in glioblastoma. Our results show that aCBV-based relative perfusion parameters may provide a better identification of IDH1 mutation status and is worthy of further verification in future studies.

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