Abstract #0276

Mapping of Neurometabolic Vulnerability in Acute Ischemic Stroke Using High-Resolution 3D MRSI

Ziyu Meng^1,2, Chang Xu¹, Bin Bo¹, Tianyao Wang³, Hong Zhou⁴, Yibo Zhao⁵, Rong Guo^5,6, Yudu Li^5,7,8, Wen Jin^5,9, Zhi-Pei Liang^5,9, Parashkev Nachev¹⁰, and Yao Li^1,2

¹National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China, ³Department of Radiology, Renji Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China, ⁴Department of Radiology, The First Affiliated Hospital of South China of University, South China of University, Hengyang, China, ⁵Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁶Siemens Medical Solutions USA, Inc, Urbana, IL, United States, ⁷Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁸The National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁹Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ¹⁰High-Dimensional Neurology Group, Institute of Neurology, University College London, London, United Kingdom

Synopsis

Keywords: Stroke, Stroke

Motivation: Characterizing neurometabolic vulnerability to ischemia is essential for better stroke management but remains largely unexplored in patients.

Goal(s): To map spatial neurometabolic vulnerability patterns in ischemic stroke using high-resolution 3D ¹H-MRSI.

Approach: We performed 3D ¹H-MRSI scans using the SPICE technique (scan time: 8 minutes, resolution: 2×3×3 mm³, FOV: 240×240×72 mm³) on 105 acute ischemic stroke patients, with 21 follow-up scans.

Results: Voxel-wise vulnerability index (VI) maps for N-acetylaspartate, creatine, choline, and lactate were obtained. Regional differences in neurometabolic vulnerability and dynamic changes over time were revealed. Incorporating neurometabolic VI data improved infarct prediction accuracy.

Impact: Neurometabolic vulnerability maps obtained in acute stroke patients provide useful insights into cellular vulnerability patterns that could inform more effective stroke management.

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