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Clinical Article
The relative level of choline: the value in the preoperative evaluation of cerebral glioma grading and the correlation with cell proliferation in gliomas
SHI Da-fa  GUAN Li-ming  QI Xi-xun  WEI Wei  WANG Yu-rui  REN Si-xie  TONG Zhi-yong  LI Qing-chang 

DOI:10.3969/j.issn.1674-8034.2015.09.001.


[Abstract] Objective: To investigate the value of the relative level of choline measured by proton magnetic resonance spectroscopy in the preoperative evaluation of cerebral gliomas grading and the correlation with cell proliferation in gliomas.Materials and Methods: Fifty-eight patients with cerebral gliomas confirmed by histopathology were collected. All patients were performed with 1H-MRS. On the basis of the histopathological diagnosis, the patients were classified into three groups: grade Ⅰ—Ⅱ (low-grade), 25 cases, grade Ⅲ, 19, grade Ⅳ, 14. Those whose grades were Ⅲ or Ⅳ were classified into high-grade gliomas group that included 33 cases. The regions of the maximum Cho/Cr value in solid portion of the tumors and the contralateral normal white matter were selected as regions of interest (ROI). The values of Cho/NAA, Cho/Cr, relative Cho/NAA (rCho/NAA) and relative Cho/Cr (rCho/Cr) of ROIs were obtained. Ki-67 grading was defined as follow: labeling index (LI) <5% is negative (-), 5%≤LI<25% is weakly positive(+), 25%≤LI<50% is positive (++), and LI ≥50% is strongly positive (+++). The differences of parameters of the relative level of choline among three groups were analyzed, if the parameters of the relative level of choline had no significant difference between grade Ⅲ and Ⅳ gliomas, we compared the difference between low-grade and high-grade gliomas. The optimum diagnostic thresholds of the parameters were achieved by using receiver operating characteristic curve (ROC), and we calculated the area under the curve (AUC), sensitivity, specificity and accuracy. The correlation between Ki-67 grading and glioma grading, and the correlation between Ki-67 grading and parameters of the relative level of choline were analyzed.Result: The Cho/NAA, Cho/Cr, rCho/NAA and rCho/Cr values of solid portions of tumor of grade Ⅲ and grade Ⅳ gliomas were significantly higher than that of grade Ⅰ—Ⅱ gliomas (P<0.05), however, there was no significant difference between grade Ⅲ and grade Ⅳ gliomas (P>0.05). There were significant differences between low-grade and high-grade gliomas (P<0.05). In the parameters of the relative level of choline to differentiate high-grade gliomas from low-grade gliomas, the accuracy of Cho/NAA was the highest, which equaled to 81.0%, and the threshold was 3.04. The AUC of rCho/Cr was maximum, which was 0.823, and the threshold and accuracy were 2.70 and 77.6%, respectively. There was significant difference between different grade gliomas in Ki-67 grading, and there was a positive correlation between Ki-67 grading and gliomas grading (r=0.741, P<0.05). Cho/NAA, Cho/Cr and rCho/Cr had positive correlation with Ki-67 grading (r were 0.313, 0.444 and 0.336, respectively, P<0.05).Conclusions: The relative level of choline is a great indicator that can indicate the state of gliomas cell proliferation and evaluate the level of malignant, it is helpful for classification of cerebral gliomas grading before operation.
[Keywords] Glioma;Magnetic resonance spectroscopy;Choline;Cell proliferation

SHI Da-fa Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

GUAN Li-ming* Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

QI Xi-xun Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

WEI Wei Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

WANG Yu-rui Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

REN Si-xie Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

TONG Zhi-yong Department of Neurosurgery, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

LI Qing-chang Department of pathology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

*Correspondence to: Guan LM, E-mail: guanlm66@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of the General Program of National Natural Science Foundation of China No. 81101035
Received  2015-06-16
Accepted  2015-08-02
DOI: 10.3969/j.issn.1674-8034.2015.09.001
DOI:10.3969/j.issn.1674-8034.2015.09.001.

[1]
Ostrom QT, Gittleman H, Farah P, et al. CBTRUS statistical report: Primary brain and central nervous system tumors diagnosed in the United States in 2006-2010. Neuro oncol, 2013, 15(Suppl2): ii1-56.
[2]
Moller-Hartmann W, Herminghaus S, Krings T, et al. Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions. Neuroradiology, 2002, 44(5): 371-381.
[3]
贺丹,杨丽,朱青峰,等. 1H-MRS在颅内胶质瘤分级中的应用价值.中国临床医学影像杂志, 2011, 22(2): 77-82.
[4]
Oshiro S, Tsugu H, Komatsu F, et al. Quantitative assessment of gliomas by proton magnetic resonance spectroscopy. Anticancer Res, 2007, 27(6A): 3757-3763.
[5]
Bulakbasi N, Guvenc I, Onguru O, et al. The added value of the apparent diffusion coefficient calculation to magnetic resonance imaging in the differentiation and grading of malignant brain tumors. J Comput Assist Tomogr, 2004, 28(6): 131-138.
[6]
唐天友,许莹莹,王建设,等.人体胶质瘤组织MGMT和GEFR及Ki-67表达临床意义分析.中华肿瘤防治杂志, 2013, 20(11): 840-844.
[7]
Bendszus M, Metz MW, Klein R, et al. MR spectroscopy in gliomatosis cerebri. AJNR Am J Neuroradiol, 2000, 21(2): 375-380.
[8]
姜亮,刘文,肖朝勇,等.探讨1H-MRS定量分析在脑实质区胶质瘤分级中的诊断价值.磁共振成像, 2015, 6(1): 15-20.
[9]
Toyooka M, Kimura H, Uematsu H, et al. Tissue characterization of glioma by proton magnetic resonance spectroscopy and perfusion-weighted magnetic resonance imaging: glioma grading and histological correlation. Clin Imaging, 2008, 32(4): 251-258.
[10]
Zou QG, Xu HB, Liu F, et al. In the assessment of supratentorial glioma grade: the combined role of multivoxel proton MR spectroscopy and diffusion tensor imaging. Clin Radiol, 2011, 66(10): 953-960.
[11]
Server A, Kulle B, Gadmar ØB. et al. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas. Eur J Radiol, 2011, 80(2): 462-470.
[12]
Zeng QS, Liu HP, 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.
[13]
Johannessen AL, Torp SH. The clinical value of Ki-67/MIB-1 labeling index in human astrocytomas. Pathol Oncol Res, 2006, 12(3): 143-147.
[14]
钟喆,何正文,邱元,等.人脑胶质瘤组织MMP-2和Ki-67表达及其相关性的初步研究.中华肿瘤防治杂志, 2010, 17(14): 1070-1072.
[15]
Shimizu H, Kumabe T, Shirane R, et al. Correlation between choline level measured by proton MR spectroscopy and Ki-67 labeling index in glomas. AJNR Am J Neuroradiol, 2000, 21(4): 659-565.
[16]
陈军,夏黎明,邹明丽,等.星形细胞瘤MR波谱与细胞增殖活性的相关性研究.中华放射学杂志, 2007, 41(4): 348-351.
[17]
Zhang K, Li C, Liu Y, et al. Evaluation of invasiveness of astrocytoma using 1H-magnetic resonance spectroscopy: correlation with expression of matrix metalloproteinase-2. Neuroradiology, 2007, 49(11): 913-919.
[18]
Yong VW, Power C, Forsyth P, et al. Metalloproteinases in biology and pathology of the nervous system. Nat Rev Neurosci, 2001, 2(7): 502-511.
[19]
Lampert K, Machein U, Machein MR, et al. Expression of matrix metalloproteinases and their tissue inhibitors in human brain tumors. Am J Pathol, 1998, 153(2): 429-437.
[20]
Law M, Yang S, Wang H, et al. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol, 2003, 24(10): 1989-1998.
[21]
Li X, Lu Y, Pirzkall A, et al. Analysis of the spatial characteristics of metabolic abnormalities in newly diagnosed glioma patients. J Magn Reson Imaging, 2002, 16(3): 229-237.
[22]
Howe FA, Barton SJ, Cudlip SA, et al. Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med, 2003, 49(2): 223-232.
[23]
王鹰,漆剑频,程少容,等.脑胶质瘤瘤周区Cho/Cr值与病理分级的相关性研究.功能与分子医学影像学(电子版), 2014, 3(4): 533-536.

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