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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Radiofrequency Amplitude-Based Ratiometric Guanidinium CEST MRI for Tumor pH-Sensitive Imaging
Qidan Luo1,2, Jiahui Xie1, Tianzhao Zhong1
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Abstract:
Altered pH is a hallmark of metabolic disruption in the tumor microenvironment. Chemical exchange saturation transfer (CEST) MRI has emerged as a valuable technique for pH-sensitive imaging. However, the pH specificity of conventional CEST measurements is usually compromised by T1 relaxation and labile proton concentration. Ratiometric CEST MRI can eliminate these contaminations. This study aimed to investigate the feasibility of radiofrequency (RF) amplitude-based ratiometric CEST MRI for tumor pH-sensitive imaging. Six adult rats implanted with C6 glioma cells underwent CEST MRI under four RF saturation (B1) levels of 0.75, 1.0, 1.5, and 2.0 μT at an 11.7 T scanner. A quasi-steady-state (QUASS) algorithm was used to reconstruct equilibrium Z-spectra. Guanidinium CEST (GuanCEST) signal at 2 ppm was isolated from inverse Z-spectra using multi-pool Lorentzian fitting. The chemical exchange rate (ksw) of guanidinium protons was quantified with a spillover- and magnetization transfer-corrected omega plot model. The RF amplitude-based guanidinium CEST ratio (RGuanCEST) was quantified by ratioing GuanCEST signals under B1 of 1.5 μT over that under 0.75 μT and was correlated with ksw using Pearson correlation analysis. Paired Student's t tests were performed to evaluate differences between tumor and contralateral normal regions. p < 0.05 was considered statistically significant. Strong correlations between RGuanCEST and ksw were observed both at the pixel level (R = 0.863, p < 0.001) and across animals (R = 0.817, p = 0.001). Tumor regions exhibited significantly lower RGuanCEST (0.90 ± 0.16) compared with contralateral normal tissues (1.08 ± 0.21, p = 0.001), consistent with corresponding reductions in ksw (298.04 ± 61.71 s-1 in tumors vs. 418.86 ± 79.45 s-1 in contralateral normal tissues, p < 0.001), indicating an acidic microenvironment in gliomas. In conclusion, this study demonstrates the feasibility of endogenous GuanCEST ratiometric MRI for pH-sensitive imaging of gliomas, providing an effective way for evaluating tumor acidity.

