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Abstract #0606

Cell-Resolved MR Spectroscopic Signatures for Cancer Cells Mapping: Dual-State Subspaces and GFP-Labeled Glioma Mouse Validation

Yizun Wang1,2, Urbi Saha3, Suhao Liu4, Edward J Roy3,5, Andrew M Smith1,5, and Fan Lam1,2,4
1Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States, 3Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 5Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, United States

Synopsis

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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