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Single-shot multiparametric MRI for separating T2 effects from dynamic glucose-enhanced contrast
Junxian Jin1, Haizhen Ding2, Zhekai Chen1
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, China.
Theranostics
|October 3, 2025
Summary
This study introduces a new MRI method to accurately measure glucose uptake by correcting for confounding factors. This improves the specificity of dynamic glucose-enhanced (DGE) imaging for cancer and brain research.
Area of Science:
- Biomedical Imaging
- Magnetic Resonance Imaging
- Metabolic Imaging
Background:
- Glucose is a key metabolic substrate and a biomarker for diseases.
- Dynamic glucose-enhanced (DGE) MRI using chemical exchange saturation transfer (CEST) maps glucose uptake.
- Quantification of DGE-MRI is complicated by glucose-induced T2 relaxation changes.
Purpose of the Study:
- To develop and validate a multiparametric CEST (MP-CEST) MRI method for accurate glucose uptake quantification.
- To correct for T2 relaxation confounding effects in DGE-MRI.
- To improve the specificity and robustness of metabolic imaging.
Main Methods:
- Developed a single-shot MP-CEST MRI sequence using multi-echo SPEN for simultaneous T2 and proton density (PD) map acquisition.
- Implemented a two-step correction strategy using saturation-weighted PD maps and T2 maps with Bloch-McConnell simulations.
- Validated the framework in phantom and in vivo rat brain and tumor xenograft models.
Main Results:
- Achieved high accuracy in T2 and PD quantification (R2 > 0.99) in phantoms.
- Demonstrated significant reduction in the correlation between DGE signals and T2 values in vivo.
- Showcased improved specificity of glucose-related contrast and complementary physiological information from T2 maps.
Conclusions:
- The MP-CEST approach enhances the accuracy and robustness of DGE quantification.
- This method offers a more comprehensive framework for metabolic imaging.
- The technique is applicable to oncological and neurological research.
Keywords:
chemical exchange saturation transferdynamic glucose enhancedglucose uptakemultiparametricsingle-shot
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