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Chemical exchange saturation transfer (CEST) MR technique for in-vivo liver imaging at 3.0 tesla.

ABSTRACT: PURPOSE:To evaluate Chemical Exchange Saturation Transfer (CEST) MRI for liver imaging at 3.0-T. MATERIALS AND METHODS:Images were acquired at offsets (n?=?41, increment?=?0.25 ppm) from -5 to 5 ppm using a TSE sequence with a continuous rectangular saturation pulse. Amide proton transfer-weighted (APTw) and GlycoCEST signals were quantified as the asymmetric magnetization transfer ratio (MTRasym) at 3.5 ppm and the total MTRasym integrated from 0.5 to 1.5 ppm, respectively, from the corrected Z-spectrum. Reproducibility was assessed for rats and humans. Eight rats were devoid of chow for 24 hours and scanned before and after fasting. Eleven rats were scanned before and after one-time CCl4 intoxication. RESULTS:For reproducibility, rat liver APTw and GlycoCEST measurements had 95 % limits of agreement of -1.49 % to 1.28 % and -0.317 % to 0.345 %. Human liver APTw and GlycoCEST measurements had 95 % limits of agreement of -0.842 % to 0.899 % and -0.344 % to 0.164 %. After 24 hours, fasting rat liver APTw and GlycoCEST signals decreased from 2.38?±?0.86 % to 0.67?±?1.12 % and from 0.34?±?0.26 % to -0.18?±?0.37 % respectively (p?

SUBMITTER: Chen SZ

PROVIDER: S-EPMC5746030 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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Chemical exchange saturation transfer (CEST) MR technique for in-vivo liver imaging at 3.0 tesla.

Chen Shu-Zhong SZ Yuan Jing J Deng Min M Wei Juan J Zhou Jinyuan J Wáng Yì-Xiáng J YX

European radiology 20150903 6

<h4>Purpose</h4>To evaluate Chemical Exchange Saturation Transfer (CEST) MRI for liver imaging at 3.0-T.<h4>Materials and methods</h4>Images were acquired at offsets (n = 41, increment = 0.25 ppm) from -5 to 5 ppm using a TSE sequence with a continuous rectangular saturation pulse. Amide proton transfer-weighted (APTw) and GlycoCEST signals were quantified as the asymmetric magnetization transfer ratio (MTRasym) at 3.5 ppm and the total MTRasym integrated from 0.5 to 1.5 ppm, respectively, from ...[more]

PMID: 26334509

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Project description:Accurate quantification of chemical exchange saturation transfer (CEST) effects, including dipole-dipole mediated relayed nuclear Overhauser enhancement (rNOE) saturation transfer, is important for applications and studies of molecular concentration and transfer rate (and thereby pH or temperature). Although several quantification methods, such as Lorentzian difference (LD) analysis, multiple-pool Lorentzian fits, and the three-point method, have been extensively used in several preclinical and clinical applications, the accuracy of these methods has not been evaluated. Here we simulated multiple-pool Z spectra containing the pools that contribute to the main CEST and rNOE saturation transfer signals in the brain, numerically fit them using the different methods, and then compared their derived CEST metrics with the known solute concentrations and exchange rates. Our results show that the LD analysis overestimates contributions from amide proton transfer (APT) and intermediate exchanging amine protons; the three-point method significantly underestimates both APT and rNOE saturation transfer at -3.5 ppm (NOE(-3.5)). The multiple-pool Lorentzian fit is more accurate than the other two methods, but only at lower irradiation powers (?1 ?T at 9.4 T) within the range of our simulations. At higher irradiation powers, this method is also inaccurate because of the presence of a fast exchanging CEST signal that has a non-Lorentzian lineshape. Quantitative parameters derived from in vivo images of rodent brain tumor obtained using an irradiation power of 1 ?T were also compared. Our results demonstrate that all three quantification methods show similar contrasts between tumor and contralateral normal tissue for both APT and the NOE(-3.5). However, the quantified values of the three methods are significantly different. Our work provides insight into the fitting accuracy obtainable in a complex tissue model and provides guidelines for evaluating other newly developed quantification methods.

Dataset Information

Chemical exchange saturation transfer (CEST) MR technique for in-vivo liver imaging at 3.0 tesla.

Publications

Chemical exchange saturation transfer (CEST) MR technique for in-vivo liver imaging at 3.0 tesla.

Similar Datasets

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