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pH Mapping of Gliomas Using Quantitative Chemical Exchange Saturation Transfer MRI: Quasi-Steady-State, Spillover-,
Ying Liu1,2, Yin Wu3, Yang Ji4
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Journal of Magnetic Resonance Imaging : JMRI
|January 18, 2024
Summary
This study demonstrates that optimized omega plot analysis using chemical exchange saturation transfer (CEST) imaging can accurately quantify glioma pH. This method provides a feasible approach for in-situ pH mapping in brain tumors.
Area of Science:
- Biomedical Imaging
- Neuro-oncology
- Quantitative MRI
Background:
- In-situ pH mapping is crucial for understanding glioma progression and guiding therapy.
- Chemical Exchange Saturation Transfer (CEST) offers noninvasive pH imaging but faces quantification challenges in gliomas.
Purpose of the Study:
- To quantify glioma pH by measuring proton exchange rates using optimized omega plot analysis.
- To establish a reliable method for in-situ pH measurement in gliomas.
Main Methods:
- Prospective study utilizing CEST imaging at 11.7T and 7.0T.
- Employed omega plot analysis, quasi-steady-state (QUASS) analysis, and multi-pool Lorentzian fitting.
- Validated in creatine phantoms, rat glioma xenografts, and human glioma patients.
Main Results:
- Omega plot analysis showed a linear correlation (R² > 0.98) between MTRrex and ω₁² in gliomas.
- Glioma pH measurements were independent of concentration changes.
- Rat gliomas exhibited decreased exchange rates compared to normal tissue (P=0.025), a pattern mirrored in human gliomas.
Conclusions:
- QUASS-based, spillover-, and MT-corrected omega plot analysis is a feasible method for quantifying glioma pH.
- This technique enables reliable in-situ pH mapping for improved glioma assessment.
- The findings support the clinical utility of advanced MRI techniques for brain tumor characterization.

