Noninvasive Evaluation of Cerebral Glioma Grade by Using Diffusion-weighted Imaging-guided Single-voxel Proton Magnetic Resonance Spectroscopy
Noninvasive Evaluation of Cerebral Glioma Grade by Using Diffusion-weighted Imaging-guided Single-voxel Proton Magnetic Resonance Spectroscopy
复制标题
使用扩散加权成像引导单体素质子磁共振波谱无创评估脑胶质瘤分级
DOI：
10.1177/147323001204000108
复制
发表时间：
2012-01-01
影响因子：
1.6
通讯作者：
Zhang, K.
中科院分区：
文献类型：
--
作者：
Liu, Z-L;Zhou, Q.;Zhang, K.
目的：探讨弥散加权成像（DWI）引导下的单体素质子磁共振波谱（SVS）在脑胶质瘤术前分级评估中的作用。方法：对于SVS，通过DWI获得的最小表观扩散系数值指导感兴趣体积的放置。分析了33例原发性胶质瘤患者的N-乙酰天冬氨酸（NAA）、胆碱（Cho）和磷酸肌酸（Cr）光谱数据。研究结果：Cho/Cr和Cho/NAA比值在高级别胶质瘤中显著高于低级别胶质瘤; NAA/Cr比值在高级别胶质瘤中显著低于低级别胶质瘤。受试者工作特征曲线分析表明，以Cho/Cr为阈值，其敏感性、特异性、阳性预测值和阴性预测值分别为86.36%、90.00%、95.00%和75.00%。Cho/NAA和NAA/Cr的阈值分别为2.49和0.97。尽管代谢物比值之间的诊断准确性没有显著差异，但使用Cho/Cr比值的诊断准确性略优于Cho/NAA或NAA/Cr。结论：DWI引导下SVS对胶质瘤分级的术前预测具有潜在价值。
OBJECTIVE: To investigate the usefulness of diffusion-weighted imaging (DWI)-guided, single-voxel proton magnetic resonance spectroscopy (SVS) for preoperative evaluation of cerebral glioma grade. METHODS: For SVS, placement of volume-of-interest was guided by the minimal apparent diffusion coefficient value obtained from DWI. Spectral data for N-acetylaspartate (NAA), choline (Cho), and phosphocreatine (Cr) were analysed in 33 patients with primary gliomas. RESULTS: Cho/Cr and Cho/NAA ratios were significantly higher in high-grade than in low-grade gliomas; NAA/Cr ratios were significantly lower in high-grade than in low-grade gliomas. Receiver operating characteristic curve analysis demonstrated a threshold value of 2.01 for Cho/Cr for sensitivity, specificity, positive predictive and negative predictive values of 86.36%, 90.00%, 95.00% and 75.00%, respectively. Threshold values of 2.49 and 0.97 were obtained for Cho/NAA and NAA/Cr, respectively. Despite no significant difference in diagnostic accuracy between the metabolite ratios, diagnostic accuracy using the Cho/Cr ratio was slightly better than that of Cho/NAA or NAA/Cr. CONCLUSION: DWI-guided SVS has potential value for the preoperative prediction of glioma grade.