| 神经突定向弥散与密度成像对脑胶质瘤分级的初步诊断 |
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| 引用本文： | 沈蒙蒙,王淑梅,郝永,刘冲,张建军. 神经突定向弥散与密度成像对脑胶质瘤分级的初步诊断[J]. 医学研究与教育, 2020, 37(2): 37-43. DOI: 10.3969/j.issn.1674-490X.2020.02.006 |
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| 作者姓名： | 沈蒙蒙 王淑梅 郝永 刘冲 张建军 |
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| 作者单位： | 1.承德医学院研究生学院, 河北 承德 067000;
2.保定市第一中心医院医学影像科, 河北 保定 071000 |
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| 摘 要： | 目的 回顾性研究神经突定向弥散与密度成像(neurite orientation dispersion and density imaging,NODDI)的参数对脑胶质瘤分级的诊断价值。方法 脑胶质瘤共30例,男16例,女14例,平均年龄(46.23±7.58)岁,其中高级别脑胶质瘤18例,低级别脑胶质瘤12例。患者术前常规进行MR平扫、增强及扩散加权成像(diffusion weighted imaging,DWI)、NODDI,经后处理软件得到神经突方向离散度(oritention dispersion index,ODI)、神经突内体积分数(intracellular volume fraction,VIC)、神经突外体积分数(entracellular volume fraction,VEC,分为空间三坐标方向xVEC、yVEC、zVEC)、浓度参数的沃森分布(kappa)及各向同性体积分数(isotropic volume fraction,VISO)的图像,经看图分析软件测量肿瘤实性的区域、瘤周水肿的区域及对侧正常的脑白质区各参数值的平均值。结果 低级别脑胶质瘤的VISO、yVEC、kappa、VIC、ODI的平均值能将实性区与正常区鉴别出来,差异有统计学意义(P<0.05);VISO、xVEC、VIC的平均值可将水肿区与正常区区分出来,差异有统计学意义(P<0.05)。高级别脑胶质瘤的VISO、yVEC、kappa、VIC、ODI的平均值可将实性区与正常区鉴别出来,差异有统计学意义(P<0.05);VISO、xVEC、yVEC、kappa、VIC、ODI的平均值可将水肿区与正常区区别出来,差异有统计学意义(P<0.05)。而在实性区,VISO、yVEC、kappa、VIC、ODI的平均值可将高级别与低级别脑胶质瘤鉴别,差异有统计学意义(P<0.05);在水肿区,VISO、xVEC、zVEC、kappa的平均值可将高级别与低级别脑胶质瘤鉴别,差异有统计学意义(P<0.05)。结论 在本研究数据的统计结果中,NODDI的VISO、VEC、kappa、VIC、ODI参数均可鉴别高低级别脑胶质瘤。
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| 关 键 词： | 神经突定向弥散与密度成像 磁共振成像 脑胶质瘤 术前诊断分级 |
| 收稿时间： | 2019-12-05 |
Diagnosis of neurite orientation dispersion and density imaging for glioma classification |
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| SHEN Mengmeng,WANG Shumei,HAO Yong,LIU Chong,ZHANG Jianjun. Diagnosis of neurite orientation dispersion and density imaging for glioma classification[J]. Medical Research and Education, 2020, 37(2): 37-43. DOI: 10.3969/j.issn.1674-490X.2020.02.006 |
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| Authors: | SHEN Mengmeng WANG Shumei HAO Yong LIU Chong ZHANG Jianjun |
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| Abstract: | Objective To explore the diagnostic value of the parameters of neurite orientation dispersion and density imaging(NODDI)in glioma classification. Methods A total of 30 cases of brain glioma, 16 cases of male and 14 cases of female, with an average age of(46.23±7.58)years were investigated with a retrospective study, of which 18 cases suffered from high-grade glioma and 12 cases from low-level glioma. Patients were examined with routine MR scan, enhancement, diffusion weighted imaging(DWI)and NODDI before operation,the results were determined with software to get figures of the oritention dispersion index(ODI), the intracellular volume fraction(VIC), the entracellular volume fraction(xVEC,yVEC,zVEC), the concentration distribution of Watson parameters(kappa)and the isotropic volume fraction(VISO), through the picture analysis software measurement with a tumor parenchyma, peritumoral area and contralateral normal white matter value of the average(mean). Results The mean values of VISO, yVEC, kappa, VIC and ODI of low-grade glioma could distinguish the solid area from the normal area, with statistically significant difference(P<0.05). The mean values of VISO, xVEC and VIC could distinguish the edema area from the normal area, with statistically significant difference(P<0.05). The mean values of VISO, yVEC, kappa, VIC and ODI of high-grade glioma could distinguish the solid area from the normal area, with statistically significant difference(P<0.05). The mean values of VISO, xVEC, yVEC, kappa, VIC and ODI could distinguish the edema area from the normal area, with statistically significant difference(P<0.05). In the solid area, the mean values of VISO, yVEC, kappa, VIC and ODI could distinguish the high grade glioma from the low grade glioma, with statistically significant difference(P<0.05). In edema area, the mean values of VISO, xVEC, zVEC and kappa could distinguish high-grade glioma from low-grade glioma, with statistically significant difference(P<0.05). Conclusion In the statistical results of the data in this study, NODDI's VISO, VEC, kappa, VIC and ODI parameters could identify high and low grade gliomas. |
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| Keywords: | neurite orientation dispersion and density imaging MRI glioma preoperative diagnostic classification |
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