Share：
Share this content in WeChat
X
[Chinese][PDF]106269
• Clinical Article •
Comparison of 3D-ASL and 1H-MRS magnetic resonance imaging techniques for the preoperative grading of brain glioma
DONG Wei-min  QI Xu-hong  KANG Qun-feng  BI Dong-mei  YU Yang  MENG Fanqi  WEN Zhi-yong 

DOI:10.12015/issn.1674-8034.2016.11.005.


[Abstract] Objective: To investigate the value of three-dimensional arterial spin labeling (3D-ASL) MR perfusion imaging and 1H-magnetic resonance spectroscopy (1H-MRS) metabolite in grading the cerebral gliomas.Materials and Methods: 3D-ASL and 1H-MRS imaging of total 44 patients with pathologically- proved gliomas were retrospectively analyzed. According to the 2007 World Health Organization (WHO) standards, the patients were divided into low-grade glioma group (gradeⅠ—Ⅱ, 13 cases) and high-grade glioma group (grade Ⅲ—Ⅳ, 31 cases), measuring and calculating the values or relative values of CBF and metabolites of the tumor parenchyma and corresponding contralateral tissue for statistical analysis.Results: In the 44 cases of glioma, 3D-ASL related parameters (TBFmax, rCBF1, rCBF2) and 1H-MRS related parameters (rNAA, rCr, Cho/Cr, NAA/Cho) had statistically significant differences in the low-grade and the high-grade glioma group (P<0.05), and 1H-MRS parameters (rCho, NAA/Cr) had no statistically significant differences between the two groups (P>0.05). By receiver operating characteristic curve (ROC) analysis, the AUC of TBFmax, rCBF1, rCBF2 and rNAA, rCr, Cho/Cr, NAA/Cho was larger than 0.5 in glioma grades, while the AUC of 3D-ASL was 0.923 and the AUC of 1H-MRS was 0.871, both were lesser than the AUC of 3D-ASL plus 1H-MRS combination (0.955). The sensitivity and specificity of combining the two technologies in differentiating glioma grades were 87.1% and 100% respectively.Conclusions: Separately analysising 3D-ASL and 1H-MRS, 3D-ASL has a higher diagnostic value. combining the two technologies, which can complement each other, has a higher diagnostic value than 3D-ASL or 1H-MRS in differentiating glioma grades.
[Keywords] Glioma；Spin labels；Magnetic resonance spectroscopy；Neoplasm grading

DONG Wei-min Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

QI Xu-hong Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

KANG Qun-feng Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

BI Dong-mei Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

YU Yang Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

MENG Fanqi Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

WEN Zhi-yong* Department of Radiotherapy, State Grid Corporation of Beijing Electric Power Hospital, Beijing 100073, China

*Correspondence to: Wen ZY, E-mail: wenzhiyong@yahoo.com

Conflicts of interest   None.

Received  2016-09-13
Accepted  2016-10-15
DOI: 10.12015/issn.1674-8034.2016.11.005
DOI:10.12015/issn.1674-8034.2016.11.005.

[1]
蒋宇钢，刘博，周倩,等.颅内胶质瘤的治疗策略及进展.中华临床医师杂志(电子版), 2013, 7(14): 6245-6247.
[2]
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.
[3]
马洁玲，艾林. MRI在胶质母细胞瘤患者预后的应用进展.磁共振成象, 2015, 6(5): 394-400.
[4]
程敬亮，杨涛.磁共振成像在脑胶质瘤中的应用及进展.磁共振成象, 2014, 5(Suppl): 62-67.
[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]
肖华锋，娄昕，陈志晔,等.三维动脉自旋标记与对比增强灌注成像在神经上皮肿瘤术前分级中的对照研究.功能与分子医学影像学杂志(电子版), 2013, 2(2): 12-14.
[7]
Jiang JJ, Zhao L, Zhang Yan, et al. Comparative analysis of arterial spin labeling and dynamic susceptibility contrast perfusion imaging for quantitative perfusion measurements of brain tumors. Int J Clin Exp Pathol, 2014, 7(6): 2790-2799.
[8]
Warmuth C, Gunther M, Zimmer C. Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging. Radiology, 2003, 228(2): 523-532.
[9]
江晶晶，赵凌云，姚义好,等.三维动脉自旋标记灌注成像在星形细胞瘤术前分级中的应用.放射学实践, 2014, 29(8): 896-900.
[10]
Tourdias T, Rodrigo S, Oppenheim C, et al. Pulsed arterial spin labeling applications in brain tumors: practical review. J Neuroradiol, 2008, 35(2): 79-89.
[11]
Whitmore RG, Krejza J, Kapoor GS, et al. Prediction of oligodendroglial tumor subtype and grade using perfusion weighted magnetic resonance imaging. J Neurosurg, 2007, 107(3): 600-609.
[12]
Cha S, Tihan T, Crawford F, et al. Differentiation of low-grade oligodendroglio-mas from low-grade astrocytomas by using quantitative blood-volume measurements derived from dynamic susceptibility contrast-enhanced MR imaging. AJNR Am J Neuroradiol, 2005, 26(2): 266-273.
[13]
张玉琴，徐海东，董海波,等.磁共振功能成像在胶质瘤术前分级评估中的价值.影像诊断与介入放射学, 2015, 24(5): 380-384.
[14]
傅常宇，刘耀华，杨宏宽,等.磁共振波谱技术在胶质瘤代谢研究中的应用进展.中华神经外科疾病研究杂志, 2014, 13(2): 190-192.
[15]
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.
[16]
Server A, Kulle B, Gadmar OB, 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.
[17]
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.
[18]
Caivano R, Lotumolo A, Rabasco P, et al. 3 Tesla magnetic resonance spectro-scopy: cerebral gliomas vs. metastatic brain tumors. Our experience and review of the literature. Int J Neurosci, 2013, 123(8): 537-543.
[19]
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.
[20]
Howe FA, Opstad KS. 1H MR spectroscopy of brain tumors and masses. NMR Biomed, 2003, 16(16): 123-131.
[21]
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.
[22]
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.
[23]
Cheng LL, Anthony DC, Comite AR, et al. Quantification of microheterogeneity in glioblastoma multiforme with ex vivo high-resolution magic-angle spinning (HRMAS) proton magnetic resonance spectroscopy. Neuro Oncol, 2000, 2(2): 87-95.
[24]
Steffen-Smith EA, Shih JH, Hipp SJ, et a1. Proton magnetic resonance spectroscopy predicts survival in children with diffuse intrinsic pontine Glioma. J Neurooncol, 2011, 105(2): 365-373.
[25]
Fountas KN, Kapsalaki EZ, Vogel RL, et al. Noninvasive histologic grading of solid astrocytomas using proton magnetic resonance spectroscopy. Stereotact Funct Neurosurg, 2004, 82(2-3): 90-97.
[26]
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.

PREV Imaging and ADC value in differential diagnosis of intracranial hemangiopericytoma and anaplastic meningioma: a comparative study
NEXT MR imaging findings and differential MRI diagnosis of hypertropic pachymeningitis
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn