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Abstract #0067

Combining Cortical Neurometabolic Changes and Structural Disconnection Improves Stroke Severity Prediction: A High-Resolution 1H-MRSI Study

Ziyu Meng1, Tianyao Wang2, Hong Zhou3, Chang Xu1, Bin Bo1, Yibo Zhao4,5, Rong Guo4,6, Yudu Li4,7, Wen Jin4,5, Xin Yu8, Zhi-Pei Liang4,5, and Yao Li1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, Renji Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China, 3Department of Radiology, The First Affiliated Hospital of South China of University, South China of University, Hengyang, China, 4Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Siemens Medical Solutions USA, Inc, Urbana, IL, United States, 7The National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 8Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Synopsis

Keywords: Stroke, Stroke

Motivation: Understanding distant metabolic changes resulting from stroke injuries can offer valuable prognostic biomarkers for patient recovery but remains underexplored.

Goal(s): Our goal was to investigate the relationship between lesional and cortical neurometabolic changes, structural disconnections, and their collective impact on stroke severity using high-resolution 3D 1H-MRSI.

Approach: 3D 1H-MRSI scanning using SPICE technology (scan time: 8 minutes, resolution: 2×3×3 mm3, FOV: 240×240×72 mm3) was performed on 105 acute ischemic stroke patients.

Results: Cortical neurometabolic changes were associated with lesional metabolic levels and structural disconnections, which can be used jointly to improve symptom severity prediction in stroke patients.

Impact: The demonstrated predictive value of combining structural disconnections with distant cortical metabolic disruptions may offer prognostic biomarkers useful for treatment and management of stroke patients.

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Abstract

Keywords