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• Clinical Article •
The diagnosis value of 1H-MRS quantitative analysis in brain parenchyma glioma grading
JIANG Liang  LIU Wen  XIAO Chao-yong  LI Zong-hong  HU Jun  YIN Xin-dao 

DOI:10.3969/j.issn.1674-8034.2015.01.004.


[Abstract] Objectives: To study the value of quantitative analysis of proton magnetic resonance spectroscopy (1H-MRS) metabolites in diagnosis of Brain Parenchyma glioma grading.Materials and Methods: The 1H-MRS metabolites of total 58 Brain Parenchyma gliomas confirmed by pathology were analyzed retrospectively. According to the 2007 World Health Organization (WHO) standards, all cases were divided into two groups including low-grade gliomas group (grade Ⅰ—Ⅱ, 24 cases) and high-grade gliomas group (grade Ⅲ—Ⅳ, 35 cases). Then concentrations of all metabolites in the tumor area and the contralateral brain tissue were analyzed statistically and compared.Results: (1) In total 59 glioma cases; Cho and Cho/Cr in tumor area were increased compared to that in the contralateral one while the other metabolites and metabolic ratio were decreased. There were significant differences in rNAA, Cho/Cr,NAA/Cr, NAA/Cho, and Lac between low-grade and high-grade glioma tumor(P<0.05). (2) rCho and Cho/Cr in the solid area of gliomas were positively related with pathological grading, rNAA, NAA/Cr, and NAA/Cho were negatively correlated with pathological grading. rNAA and NAA/Cho had higher correlation than the others, and the r correlation coefficient was 0.555 and 0.616 respectively. (3) The area under the curve (AUC) of rNAA, NAA/Cr and NAA/Cho for identifying glioma grading were greater than 0.5 by the ROC analysis. The cutoff point of rNAA for identifying glioma grading was set at 0.20 with 100% sensitivity and 61.8% specifity. The cutoff point of NAA/Cr for identifying glioma grading was set at 0.35 with 100% sensitivity and 55.9% specificity. The cutoff point of NAA/Cho for identifying glioma grading was set at 0.19 with 91.7% sensitivity and 67.6% specificity.Conclusions: According to quantitative analysis of 1H-MRS parameters, the measurements of NAA, NAA/Cr, and NAA/Cho which have high sensitivity and moderate specificity can provide additional information about the diagnosis of glioma grading, whereas the diagnosis value of rCho and Cho/Cr in glioma grading still needs further research.
[Keywords] Glioma；Magnetic resonance spectroscopy；Metabolism

JIANG Liang Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China

LIU Wen Department of Radiology, Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China

XIAO Chao-yong* Department of Radiology, Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China

LI Zong-hong Department of Radiology, Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China

HU Jun Department of Radiology, Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China

YIN Xin-dao* Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China

*Correspondence to: Yin XD, E-mail: y.163yy@163.com. Xiao CY, E-mail: 13851424310@163.com

Conflicts of interest   None.

Received  2014-07-28
Accepted  2014-09-28
DOI: 10.3969/j.issn.1674-8034.2015.01.004
DOI:10.3969/j.issn.1674-8034.2015.01.004.

[1]
Dolecek TA, Propp JM, Stroup NE, et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005-2009. Neuro Oncol, 2012, 15(5): 646-647.
[2]
Stupp R, Mason WP, van den Bent MJ, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med, 2005, 352(10): 987-996.
[3]
Negendank W, Sauter R. Intratumoral lipids in 1H MRS in vivo in brain tumors: experience of the Siemens cooperative clinical trial. Anticancer Res, 1996, 16(3B): 1533-1538.
[4]
Al-Okaili RN, Krejza J, Woo JH, et al. Intraaxial brain masses: MR imaging-based diagnostic strategy: initial experience. Radiology, 2007, 243(2): 539-550.
[5]
Goebell E, Fiehler J, Ding XQ, et al. Disarrangement of fiber tracts and decline of neuronal density correlate in glioma patients-a combined diffusion tensor imaging and 1H-MR spectroscopy study. AJNR Am J Neuroradiol, 2006, 27(7): 1426-1431.
[6]
Louis DN, Ohgaki H, Wiestler OD, et al. The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol, 2007,114(2): 97-109.
[7]
Cousins JP. Clinical MR spectroscopy: fundamentals, current applications, and future potential. AJR Am J Roentgenol, 1995, 164(6): 1337-1347.
[8]
黄莉，黄穗乔，袁小平，等．胶质瘤瘤体及瘤周1H-MRS、ADC值与Ki-67的相关性研究．实用放射学杂志, 2013, 29(6): 875-879.
[9]
Bulik M, Jancalek R, Vanicek J, et al. Potential of MR spectroscopy for assessment of glioma grading. Clin Neurol Neurosurg, 2013,115(2): 146-153.
[10]
吴裕强，林祺，兰玉华，等．胶质母细胞瘤多模式MRI表现及其病理组织学基础．磁共振成像, 2013, 4(3): 196-200.
[11]
印弘，张艰，高元桂，等. MRS在脑占位病变诊断中的应用．实用放射学杂志, 2007, 23(6): 721-723.
[12]
贺丹，杨丽，朱青峰，等. 1H-MRS在颅内胶质瘤分级中的应用价值.中国临床医学影像学杂志, 2011, 22(2): 77-82.
[13]
林祺，张强，陈东平，等．脑星形细胞瘤磁敏感效应级别与1H-MR波谱相对定量的相关性探讨．磁共振成像, 2012, 3(2): 174-178.
[14]
Oshiro S, Tsugu H, Komatsu F, et al. Quantitative assessment of gliomas by proton magnetic resonance spectroscopy. Anticancer Res, 2007, 27(6A): 3757-3763.
[15]
Likavcanová K, Dobrota D, Liptaj T, et al. In vitro study of astrocytic tumour metabolism by proton magnetic resonance spectroscopy. Gen Physiol Biophys, 2005, 24(3): 327-335.
[16]
Zeng Q, Liu H, Zhang K, et al. Noninvasive evaluation of cerebral glioma grade by using multivoxel 3D proton MR spectroscopy. Magn Reson Imaging, 2011, 29(1): 25-31.
[17]
Stadlbauer A, Gruber S, Nimsky C, et al. Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging. Radiology, 2006, 238(3): 958-969.
[18]
彭洪娟，姚其卫，赵斌，等．单体素1H-MRS在良恶性胶质瘤鉴别诊断中的价值．医学影像学杂志, 2010, 20(12): 1761-1763.
[19]
Soares DP, Law M. Magnetic resonance spectroscopy of the brain: review of metabolites and clinical applications. Clin Radiol, 2009, 64(1): 12-21.
[20]
Li BS, Regal J, Gonen O. SNR versus resolution in 3D 1H-MRS of the human brain at high magnetic fields. Magn Reson Med, 2001, 46(6): 1049-1053.
[21]
王鹰，漆剑频，程少容，等．氢质子波谱分析Cho/Cr值评估胶质瘤病理分级的理想阈值研究．华南国防医学杂志, 2014, 28(1): 15-18.

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