用7.0 T 1H MR波谱对脑胶质瘤不同部位脑代谢特征的实验研究

Investigating neuronal metabolic characterization in different areas of brain glioma using 1H MRS at 7.0 T

目的在7.0 T磁场下利用MR波谱(MRS)技术结合LCModel后处理,获得脑胶质瘤体中心,瘤体实质部分、瘤体周边组织及对侧正常脑组织代谢物绝对浓度、分析不同部位代谢特征。材料与方法以立体定向移植法将C6胶质瘤细胞植入SD鼠脑右侧基底节区,术后7 d置于7.0 T MR扫描仪下行MRS及MRI扫描,获得的MRS原始波谱数据在LCModel软件上量化分析,SPSS软件统计所得代谢物绝对浓度在各部位之间的差异性。结果从肿瘤中心到对侧正常脑组织,可以观测到NAA、tCr浓度呈逐渐上升趋势,除肿瘤周边组织与对侧正常脑组织间NAA、tCr浓度无统计学差异性外,其他各组间这两种物质浓度均有统计学差异性。从肿瘤中心到对侧正常脑组织,Ala浓度则呈逐渐下降趋势,仅肿瘤实体部分与对侧正常脑组织间Ala浓度有统计学差异性。Tau和Ins浓度在肿瘤周边组织内达到最低,且两种代谢物浓度在肿瘤周边脑组织内与其他各部位之间均有统计学差异性。Glx浓度在肿瘤周边脑组织内达到最高,且各组间Glx浓度间均有统计学差异性。结论超高场MRS技术是分析脑胶质瘤不同部位代谢特征的良好检查手段,Tau、Ins和Glx可能对判断脑胶质瘤潜在瘤体边界提供重要的参考信息。

Objective：This study aimed to acquire the metabolite concentrations and metabolic characteristic in four different areas （tumor center, tumor soild part, tumor peritumoral area and contralateral white matter） of brain glioma with the combination of MRS and LCModel method. Materials and Methods：The C6 glioma cells were stereotaxically implanted into the right basal ganglia region of SD rats. The rats then underwent MRS at 7.0 T MR scanner. Neuronal metabolites were measured within the tumor center, tumor solid part, adjacent normal-appearing tissue, and contralateral white-matter. All spectra were quantiifed by LCModel, the whole datas were statistical analyzed by SPSS. Results：A gradual increased concentrations of NAA, tCr , and a decreased of Ala／from the tumor center to the contralateral normal white matter were observed. Moreover, the lowest level of Ins and Tau were found in the tumor peripheral area. There were signiifcant differences in Ins and Tau between the tumor peripheral area and other three areas. The highest Glx peaks appeared in the tumor peripheral part. The statistically significant differences in Glx among each region were also found. Conlustions：MRS in ultra high magnetic field is a valuable method to investigate metabolic speciifcity in different areas of glioma. The MRS data of Tau, Ins and Glx may supply additional information about the location of glioma potential border.