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Total magnitude of diffusion tensor imaging as an effective tool for the differentiation of glioma

机译:弥散张量成像的总大小作为区分神经胶质瘤的有效工具

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Objectives: The study aims to evaluate the difference in diffusion properties between high grade glioma and low grade glioma by measuring the total magnitude of diffusion tensor (L), and its isotropic (p) and anisotropic (q) components. Methods: The diffusion tensor parameters p, q, L and FA from the tumor area, adjacent area to the tumor and corresponding contra lateral normal area of 30 high grade glioma and 49 low grade glioma were calculated. Chi square analysis was done to find the changes in age and sex. One Way ANOVA was performed to compare the mean and ROC curve analysis to confirm the discriminative sensitivity. Results: Major variation in the mean values of p, L and FA was observed in different brain areas considered. Variation in the p and L values between low grade and high grade glioma were statistically significant (p < 0.001) and their ROC curve analysis yielded 93.9% and 91.8% sensitivity and 53.3% specificity respectively. Conclusion: Measurement of the isotropic component p and the total value of diffusion tensor L can be effectively correlated with different grades of glioma and can be used to study the diffusion properties of tumor affected brain.
机译:目的:本研究旨在通过测量弥散张量(L)及其各向同性(p)和各向异性(q)分量的总大小来评估高级别胶质瘤和低级胶质瘤之间扩散特性的差异。方法:计算30个高级别胶质瘤和49个低级别胶质瘤从肿瘤区域,与肿瘤相邻的区域以及相应的对侧正常面积的扩散张量参数p,q,L和FA。进行卡方分析以发现年龄和性别的变化。进行单向方差分析以比较均值和ROC曲线分析以确认判别灵敏度。结果:在所考虑的不同大脑区域观察到p,L和FA平均值的主要变化。低度和高度神经胶质瘤之间的p和L值差异具有统计学意义(p <0.001),其ROC曲线分析分别产生93.9%和91.8%的敏感性和53.3%的特异性。结论:各向同性分量p和扩散张量L的总值的测量值可以与不同级别的神经胶质瘤有效相关,并可用于研究受肿瘤影响的大脑的扩散特性。

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