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• Original Article •
Investigating neuronal metabolic characterization in different areas of brain glioma using 1H MRS at 7.0 T
YI Mei-zhi  YAN Gen  ZHANG Gui-shan  GEN Kuan  WU Ren-hua 

DOI:10.3969/j.issn.1674-8034.2014.03.011.


[Abstract] Objective: This study aimed to acquire the metabolite concentrations and metabolic characteristic in four different areas (tumor center, tumor soild part, tumor peritumoral area and contralateral white matter) of brain glioma with the combination of MRS and LCModel method.Materials and Methods: The C6 glioma cells were stereotaxically implanted into the right basal ganglia region of SD rats. The rats then underwent MRS at 7.0 T MR scanner. Neuronal metabolites were measured within the tumor center, tumor solid part, adjacent normal-appearing tissue, and contralateral white-matter. All spectra were quantified by LCModel, the whole datas were statistical analyzed by SPSS.Results: A gradual increased concentrations of NAA, tCr , and a decreased of Ala\ from the tumor center to the contralateral normal white matter were observed. Moreover, the lowest level of Ins and Tau were found in the tumor peripheral area. There were significant differences in Ins and Tau between the tumor peripheral area and other three areas. The highest Glx peaks appeared in the tumor peripheral part. The statistically significant differences in Glx among each region were also found.Conlustions: MRS in ultra high magnetic field is a valuable method to investigate metabolic specificity in different areas of glioma. The MRS data of Tau, Ins and Glx may supply additional information about the location of glioma potential border.
[Keywords] Magnetic resonance spectroscopy；Glioma；Animals, laboratory

YI Mei-zhi Department of Medical Imaging, the 2nd Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China

YAN Gen Department of Medical Imaging, the 2nd Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China

ZHANG Gui-shan Department of Medical Imaging, the 2nd Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China

GEN Kuan Department of Medical Imaging, the 2nd Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China

WU Ren-hua* Department of Medical Imaging, the 2nd Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China

*Correspondence to: Wu RH, E-mail: rhwu@stu.edu.cn

Conflicts of interest   None.

Received  2014-02-06
Accepted  2014-03-20
DOI: 10.3969/j.issn.1674-8034.2014.03.011
DOI:10.3969/j.issn.1674-8034.2014.03.011.

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