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New approaches of magnetic resonance on the evaluation of brain glioma grading
ZHANG Nan  YANG Ben-qiang 

DOI:10.12015/issn.1674-8034.2017.01.017.


[Abstract] As the most common tumor of central nervous system, brain glioma shows features of outward infiltrative growth, invasiveness and recurrence. The related treatments are rare and, surgical resection is the most preferred method. Early diagnosis and grading of glioma are significant when establish therapeutic approaches and evaluate prognosis of patients. With the development of radiology technologies, Magnetic Resonance Imaging becomes an essential technique for assessing gliomas grading. In this paper, we reviewed several new techniques related to the utility of magnetic resonance imaging on the evaluation of glioma grading.
[Keywords] Glioma；Brain neoplasms；Magnetic resonance imaging

ZHANG Nan Department of Radiology, the General Hospital of Shenyang Military Region, Shenyang 110840, China

YANG Ben-qiang* Department of Radiology, the General Hospital of Shenyang Military Region, Shenyang 110840, China

*Correspondence to: Yang BQ, E-mail: bqyang888@sina.com

Conflicts of interest   None.

Received  2016-09-07
Accepted  2019-12-06
DOI: 10.12015/issn.1674-8034.2017.01.017
DOI:10.12015/issn.1674-8034.2017.01.017.

[1]
赵明，付旷，郭丽丽，等．定量动态增强MRI在脑高低级别胶质瘤术前病理分级中的应用研究．中国实验诊断学, 2016, 20(1): 42-44.
[2]
Louis DN, Perry A, Reifenberger G, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathologica, 2016,131(6): 803-820.
[3]
Louis DN, Ohgaki H, Wiestler OD, et al. The 2007 WHO classification of tumours of the central nervous system. Acta neuropathologica, 2007,114(2): 97-109.
[4]
Lee SK. Diffusion tensor and perfusion imaging of brain tumors in high-field MR imaging. Neuroimaging Clin N Am, 2012, 22(2): 123-134.
[5]
李颖，马林．脑胶质瘤动物模型的构建和MRI研究进展．中国医学影像学杂志, 2014(5): 387-390.
[6]
Essig M, Giesel F, Stieltjes B, et al. Functional imaging for brain tumors (perfusion, DTI and MR spectroscopy). Radiologe, 2007, 47(6): 513-519.
[7]
刘媛媛，安迪，高娟，等．磁共振弥散张量成像在中枢神经系统疾病中的临床应用进展．重庆医科大学学报, 2015, 40(12): 1499-1502.
[8]
Ke Z, Wang L, Deng M, et al. Feasibility study of FA and ADC values by diffusion tensor imaging: classify abnormal signal nodules in prostate transition zone.Chin J Magn Reson Imaging, 2016, 7(5): 332-336.
可赞，王良，邓明，等. MR扩散张量成像定量参数FA和ADC值在前列腺移行带结节良恶性分级中的应用价值．磁共振成像, 2016, 7(5): 332-336.
[9]
李琳，何琦玮，孙夕林，等. DTI多参数值及DTT技术在颅内肿瘤中的应用价值研究．哈尔滨医科大学学报, 2010, 44(3): 291-295.
[10]
党玉雪，王晓明．磁共振新技术DKI和IVIM在中枢神经系统的研究现状．磁共振成像. 2015, 6(2): 145-150.
[11]
谭艳，张辉，王效春，等．磁共振扩散峰度成像在脑星形细胞瘤分级的初步研究．中西医结合心脑血管病杂志, 2014, 12(11): 1351-1352.
[12]
Van Cauter S, Veraart J, Sijbers J, et al. Gliomas: diffusion kurtosis MR imaging in grading. Radiology, 2012, 263(2): 492-501.
[13]
曾丁巳，肖新兰．扩散峰度成像（DKI）在中枢神经系统的应用．临床放射学杂志, 2011, 30(9): 1400-1402.
[14]
Steven AJ, Zhuo J, Melhem ER. Diffusion kurtosis imaging:an emerging technique for evaluating the microstructural enviroment of the brain. AJNR Am J roentgenology, 2014, 202(1): W26-33.
[15]
Raab P, Hattingen E, Franz K, et al. Cerebral gliomas:diffusion kurtosis imaging analysis of microstructural differences. Radiology, 2010, 254(3): 876-881.
[16]
Jiang R, Jiang J, Zhao L, et al. Diffusion kurtosis imaging can efficiently assess the gliom grade and cellularproliferation. Oncotarget, 2015, 6(39): 42380-42393.
[17]
Hu YC, Yan LF, Wu L, et al. Intravoxel incoherent motion diffusion-weighted MR imagingof gliomas: efficiency in preoperative grading. Sci Rep, 2014, 4: 7208.
[18]
张玉琴，徐海东，董海波，等．动脉自旋标记法与体素内不相干运动成像在胶质瘤术前应用．中国临床医学影像杂志, 2014, 25(9): 609-611.
[19]
林园凯，李建瑞，张志强，等．体素不相干运动与三维动脉自旋标记在胶质瘤中的对照研究．临床放射学杂志, 2015, 34(1): 8-13.
[20]
Bisdas S, Koh TS, Roder C, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas: feasibility of the method and initial results. Neuroradiology, 2013, 55(10): 1189-1196.
[21]
Bai Y, Lin Y, Tian J, et al. Grading of gliomas by using monoexponential,biexponential, and stretched exponential diffusion-weighted MR imaging and diffusion kurtosis MR imaging. Radiology, 2016, 278(2): 496-540.
[22]
Federau C, Meuli R, O'Brein K, et al. Perfusion measurement in brain gliomas with intravoxel incoherent motion MRI. AJNR Am J Neuroradiol, 2014, 35(2): 256-262.
[23]
Jain KK, Sahoo P, Tyagi R, et al. Prospective glioma grading using single-dose dynamiccontrast-enhanced perfusion MRI. Clin Radiol, 2015, 70(10): 1128-1135.
[24]
刘颖，赖利，王新，等．动态对比增强磁共振成像对脑胶质瘤微血管通透性评价．第三军医大学学报, 2015(23): 2397-2399.
[25]
宋加哲，胡兰花，范国光，等. 3.0 T磁共振动态对比增强扫描在脑胶质瘤分级诊断中的应用．中国医科大学学报, 2016(7): 620-625.
[26]
孙胜杰，钱海峰，李凤琪，等．定量动态对比增强磁共振成像渗透性与T1灌注多参数联合分析对脑胶质瘤分级的诊断价值．中国医学科学院学报, 2015(6): 674-680.

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