Wagnerova Dita, Jiru Filip, Dezortova Monika, Vargova Lydie, Sykova Eva, Hajek Milan
MR-Unit, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
MAGMA. 2009 Feb;22(1):19-31. doi: 10.1007/s10334-008-0150-2. Epub 2008 Oct 25.
The aim of this study was to develop a method for evaluating the spatial distribution of human brain gliomas in individual subjects by evaluating the correlation between the Choline (Cho) signal intensity and the diffusion trace (Tr(ADC)) values.
Eleven patients with different histopathologic diagnoses and five healthy subjects were examined with diffusion-weighted EPI-trace sequence and (1)H MR spectroscopic imaging. The calculation of the correlation between choline and Tr(ADC) values on a pixel-by-pixel basis and simulations estimating the influence of partial volume effects on the result were performed.
Statistical evaluation of the data in the patients with a glioblastoma showed that pixels corresponding to different tissue states are situated in different areas in the Cho-Tr(ADC) correlation graph. Namely, points forming an inverse linear dependence interpreted as an area of an active tumor were observed. Different types of correlations were found in grade II and III gliomas. No statistically significant correlation was found in healthy subjects. Simulations proved that the observed linear dependence cannot be attributed solely to partial volume effects.
The analysis of the correlation between Cho concentrations and Tr(ADC) values on a pixel-by-pixel basis should help the regional identification of the pathological state of a tissue in patients with a glioblastoma.
本研究的目的是通过评估胆碱(Cho)信号强度与扩散轨迹(Tr(ADC))值之间的相关性,开发一种评估个体受试者人脑胶质瘤空间分布的方法。
对11例不同组织病理学诊断的患者和5名健康受试者进行扩散加权EPI轨迹序列和氢质子磁共振波谱成像检查。逐像素计算胆碱与Tr(ADC)值之间的相关性,并进行模拟以估计部分容积效应对结果的影响。
对胶质母细胞瘤患者的数据进行统计评估显示,与不同组织状态相对应的像素位于Cho-Tr(ADC)相关图的不同区域。也就是说,观察到形成负线性依赖关系的点被解释为活跃肿瘤区域。在II级和III级胶质瘤中发现了不同类型的相关性。在健康受试者中未发现统计学上的显著相关性。模拟证明,观察到的线性依赖关系不能仅归因于部分容积效应。
逐像素分析Cho浓度与Tr(ADC)值之间的相关性应有助于胶质母细胞瘤患者组织病理状态的区域识别。