磁共振扩散张量成像定量参数对脑胶质瘤分级的诊断价值
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摘要
目的:探讨磁共振扩散张量成像(diffusion tensor imaging,DTI)定量参数,是否可以对脑胶质瘤进行分级。方法:选取抚矿总医院2015年2月至2017年11月,经病理证实的脑胶质瘤患者60例,依据WHO肿瘤分级标准,分为高级别组(A组)27例,低级别组(B组)33例,分别给予患者磁共振平扫、增强扫描及DTI,观察图像信号变化规律,并测量DTI定量参数FA值与ADC值。结果:ADC值组间比较,A组病人瘤体和瘤周水肿带的ADC值,与B组病人瘤体和瘤周水肿带的ADC值对比,差异有统计学意义(P<0.05)。A、B组内对比,周围水肿带ADC值大于瘤体ADC值,差异有统计学意义(P<0.05)。FA值组间对比,A、B两组肿瘤主体和瘤体周围水肿带对比,差异无统计学意义(P>0.05)。A、B组内对比,瘤周水肿带的FA值大于肿瘤主体FA值,差异有统计学意义(P<0.05)。结论:DTI定量参数可以对脑胶质瘤进行分级,并获得满意效果。
Objective:To investigate whether quantitative parameters of MR diffusion tensor imaging(DTI)can be used for grading gliomas.Methods:60 patients with glioma confirmed by pathology in February 2015 to November 2017 in General Hospital of Provincial Health Industry Group were treated with magnetic resonance imaging,enhanced scan and diffusion tensor imaging.The changes of image signal were observed and the FA value and ADC value of DTI were measured.Results:The ADC value of the tumor body and the peritumoral edema zone in the A group was statistically significant compared with the ADC value of the tumor body and the peritumoral edema zone in the B group(P<0.05).In group A and group B,the ADC value of peripheral edema area was larger than that of tumor body ADC(P<0.05).There was no significant difference in the FA value between the two groups.There was no significant difference between the A group and the B group in the tumor body and the edema around the tumor(P>0.05).In group A and group B,the FA value of peritumoral edema zone was larger than that of tumor body FA,and the difference was statistically significant(P<0.05).Conclusion:The quantitative parameters of MR diffusion tensor imaging(DTI)can be used to grade gliomas and achieve satisfactory results.
Objective:To investigate whether quantitative parameters of MR diffusion tensor imaging(DTI)can be used for grading gliomas.Methods:60 patients with glioma confirmed by pathology in February 2015 to November 2017 in General Hospital of Provincial Health Industry Group were treated with magnetic resonance imaging,enhanced scan and diffusion tensor imaging.The changes of image signal were observed and the FA value and ADC value of DTI were measured.Results:The ADC value of the tumor body and the peritumoral edema zone in the A group was statistically significant compared with the ADC value of the tumor body and the peritumoral edema zone in the B group(P<0.05).In group A and group B,the ADC value of peripheral edema area was larger than that of tumor body ADC(P<0.05).There was no significant difference in the FA value between the two groups.There was no significant difference between the A group and the B group in the tumor body and the edema around the tumor(P>0.05).In group A and group B,the FA value of peritumoral edema zone was larger than that of tumor body FA,and the difference was statistically significant(P<0.05).Conclusion:The quantitative parameters of MR diffusion tensor imaging(DTI)can be used to grade gliomas and achieve satisfactory results.
引文
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[16] Gao Zhenhui.The application of magnetic resonance DTI and DTT in the diagnosis and classification of glioma and the correlation with pathological grading[J].Journal of Integrated Chinese and Western Medicine and Cardio Cerebrovascular Disease,2018,16(01):98-101.[高振辉.磁共振DTI、DTT在脑胶质瘤诊断和分级中的应用及与病理分级的相关性研究[J].中西医结合心脑血管病杂志,2018,16(01):98-101.]
[17] Wang Jia,Feng Hua.Diagnostic value of related parameters of DTI for glioma and correlation with expression of VEGF,MMP-9 and uPA[J].Radiology Practice,2017,32(09):932-935.[王佳,封华.DTI相关参数对脑胶质瘤的诊断价值及与VEGF、MMP-9、uPA表达的相关性[J].放射学实践,2017,32(09):932-935.]
[18] Wang Jia,Xu Haibo.Application of magnetic resonance spectroscopy and diffusion tensor imaging in brain gliomas[J].Chinese Journal of CT and MRI,2017,15(09):149-152.[王佳,徐海波.脑胶质瘤磁共振波谱和扩散张量成像的应用现状[J].中国CT和MRI杂志,2017,15(09):149-152.]
[19] Li Zhangyu,Qian Haifeng.The application of magnetic resonance perfusion weighted imaging and diffusion tensor imaging in the classification of glioma[J].Chinese General Medicine,2017,15(06):1013-1015.[李章宇,钱海峰.磁共振灌注加权成像与扩散张量成像在脑胶质瘤分级诊断中的应用[J].中华全科医学,2017,15(06):1013-1015.]
[20] Cui Huanxi.Application of multi-modal MRI combined with ultrasound in glioma surgery[D].Xinjiang:Xinjiang Medical University,2017,16(03):1013-1015.[崔焕喜.多模态MRI结合超声在脑胶质瘤术中的应用[D].新疆:新疆医科大学,2017,16(03):1013-1015.]
[2] Genc S,Malpas CB,Ball G.Age,sex,and puberty related development of the corpus callosum:A multi-technique diffusion MRI study[J].Brain Struct Funct,2018,32(06):435-438.
[3] Carrasco M,Perin J,Jennings JM.Cerebral autoregulation and conventional and diffusion tensor imaging magnetic resonance imaging in neonatal hypoxic-ischemic encephalopathy[J].Pediatr Neurol,2018,27(07):795-798.
[4] Dong F,Wu Y,Song P.A preliminary study of 3.0-T magnetic resonance diffusion tensor imaging in cervical spondylotic myelopathy[J].Eur Spine,2018,28(02):258-262.
[5] Bouts MJRJ,Moller C,Hafkemeijer A.Single subject classification of alzheimer's disease and behavioral variant frontotemporal dementia using anatomical,diffusion tensor[J].Alzheimers Dis,2018,62(4):1827-1839.
[6] Nguyen CT,Dawkins J,Bi X.Diffusion tensor cardiac magnetic resonance reveals exosomes from cardiosphere-derived cells preserve myocardial fiber architecture after myocardial infarction[J].JACC Basic Transl Sci,2018,3(1):97-109.
[7] Opriessnig P,Silbernagel G,Krassnig S.Magnetic resonance microscopy diffusion tensor imaging of collagen fibre bundles stabilizing an atherosclerotic plaque of the common carotid artery[J].Eur Heart,2018,15(15):1850-1853.
[8] Wang Q,Zhang J,Xu X.Diagnostic performance of apparent diffusion coefficient parameters for glioma grading[J].Neurooncol,2018,21(07):1121-1123.
[9] Wirth AM,Frank SM.White matter connectivity of the visual-vestibular cortex examined by diffusion-weighted imaging[J].Brain Connect,2017,34(05):702-705.
[10] Kaufmann LK,Baur V,H?nggi J.Ventricular enlargement biases forniceal diffusion magnetic resonance imaging indices in anorexia nervosa[J].Biol Psychiatry Cogn Neurosci Neuroimaging,2018,18(02):148-149.
[11] Pitarokoili K,Kronlage M,B?umer.High-resolution nerve ultrasound and magnetic resonance neurography as complementary neuroimaging tools for chronic inflammatory demyelinating polyneuropathy[J].Ther Adv Neurol Disord,2017,55(05):56-60.
[12] Song JW,Gruber GM,Patsch JM.A postnatal in vivo follow-up study using diffusion tensor imaging[J].Pediatr Radiol,2018,48(4):486-498.
[13] Khalique Z,Ferreira PF,Scott AD.Diffusion tensor cardiovascular magnetic resonance of microstructural recovery in dilated cardiomyopathy[J].JACC Cardiovasc Imaging,2017,36(18):474-476.
[14] Takano K,Kinoshita M,Arita H.Influence of region-of-interest designs on quantitative measurement of multimodal imaging of MR non-enhancing gliomas[J].Oncol Lett,2018,15(5):7934-7940
[15] Leote J,Nunes RG,Cerqueira L.Reconstruction of white matter fibre tracts using diffusion kurtosis tensor imaging at 1.5T:Pre-surgical planning in patients with gliomas[J].Eur J Radiol Open,2018,28(5):20-23.
[16] Gao Zhenhui.The application of magnetic resonance DTI and DTT in the diagnosis and classification of glioma and the correlation with pathological grading[J].Journal of Integrated Chinese and Western Medicine and Cardio Cerebrovascular Disease,2018,16(01):98-101.[高振辉.磁共振DTI、DTT在脑胶质瘤诊断和分级中的应用及与病理分级的相关性研究[J].中西医结合心脑血管病杂志,2018,16(01):98-101.]
[17] Wang Jia,Feng Hua.Diagnostic value of related parameters of DTI for glioma and correlation with expression of VEGF,MMP-9 and uPA[J].Radiology Practice,2017,32(09):932-935.[王佳,封华.DTI相关参数对脑胶质瘤的诊断价值及与VEGF、MMP-9、uPA表达的相关性[J].放射学实践,2017,32(09):932-935.]
[18] Wang Jia,Xu Haibo.Application of magnetic resonance spectroscopy and diffusion tensor imaging in brain gliomas[J].Chinese Journal of CT and MRI,2017,15(09):149-152.[王佳,徐海波.脑胶质瘤磁共振波谱和扩散张量成像的应用现状[J].中国CT和MRI杂志,2017,15(09):149-152.]
[19] Li Zhangyu,Qian Haifeng.The application of magnetic resonance perfusion weighted imaging and diffusion tensor imaging in the classification of glioma[J].Chinese General Medicine,2017,15(06):1013-1015.[李章宇,钱海峰.磁共振灌注加权成像与扩散张量成像在脑胶质瘤分级诊断中的应用[J].中华全科医学,2017,15(06):1013-1015.]
[20] Cui Huanxi.Application of multi-modal MRI combined with ultrasound in glioma surgery[D].Xinjiang:Xinjiang Medical University,2017,16(03):1013-1015.[崔焕喜.多模态MRI结合超声在脑胶质瘤术中的应用[D].新疆:新疆医科大学,2017,16(03):1013-1015.]