Keywords: Spectroscopy, Metabolism, glioma imaging, MRSI, cell-resolved imaging
Motivation: Monitoring of tumor progression and therapeutic efficacy will benefit from in vivo imaging technologies that can estimate cancer-cell-specific fractions at the tissue level.
Goal(s): To continue developing an MRSI-based method to resolve tumor-cell-specific components within individual imaging voxels.
Approach: We combined glioma-cell-specific metabolite profiles at different states and high-resolution MRSI data to resolve glioma cell fractions, validated using GFP-labeled glioma mice.
Results: In vivo, in vitro, and ex vivo results demonstrated the effectiveness of our method in resolving tumor cell distribution and monitoring tumor progression.
Impact: The proposed approach can assess cell-specific tissue responses, with significant potentials for tumor staging, treatment assessment, and recurrence detections.
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