摘要
目的探讨3.0T磁共振(Magnetic Resonance Imaging,MRI)弥散加权成像DWI(Diffusion Weighted Imaging)及T2*动态磁敏感对比增强灌注加权成像(dynamic susceptibility contrast Perfusion Weighted Imaging,DSC PWI)在脑胶质瘤术前分级中的价值。方法回顾性分析术前行常规MRI扫描、DWI扫描及T2*DSC PWI扫描并经手术病理证实的患者磁共振图像38例,分别测量脑胶质瘤患者肿瘤实质区的表观弥散系数(Apparent Diffusion Coefficients,ADC)值、rADC值及肿瘤实质区和瘤周水肿区的rCBV值,并进行统计学分析。结果 (1)在肿瘤实质区,低级别胶质瘤的ADC值(1.55±0.33)×10^(-3) mm^2/s高于高级别胶质瘤ADC值(1.08±0.19)×10-3 mm^2/s;低级别胶质瘤的rADC值(1.89±0.35)高于高级别胶质瘤rADC值(1.35±0.21),差异均有统计学意义(P<0.05)。(2)在肿瘤实质区,低级别胶质瘤的rCBV值(2.29±0.56)低于高级别胶质瘤rCBV值(5.12±1.49);在瘤周水肿区,低级别胶质瘤的rCBV值(0.89±0.29)低于高级别胶质瘤的rCBV值(1.32±0.24),差异均有统计学意义(P<0.05)。结论弥散加权成像及灌注加权成像作为无创性的评价手段联合常规MR扫描,可以提高脑胶质瘤术前分级的准确性。
Objective To evaluate the value of MR diffusion-weighted imaging(DWI)and T2* dynamic susceptibility contrast perfusion-weighted imaging(T2*DSC PWI)of 3.0Tin grading brain gliomas and differential diagnosis of gliomas.Methods Retrospectively analysis the MRI,DWI and T2*DSC PWI imagings in 21 cases of low-grade gliomas,17 cases of high-grade gliomas.All cases were pathologically proved after operation.The ADC and rADC values in the tumor parenchyma area are calculated and statistically analyzed.The rCBV value in the tumor parenchyma area and the peritumoral edema area are calculated and statistically analyzed.Results(1)In the tumor parenchyma area,the ADC value of low-grade gliomas was(1.55±0.33)×10-3 mm2/s,which was higher than(1.08±0.19)×10-3 mm2/s of high-grade gliomas;the rADC value of low-grade gliomas was(1.89±0.35),which was higher than(1.35±0.21)of high-grade gliomas(P〈0.05).(2)In the tumor parenchyma area,the rCBV value of low-grade gliomas was(2.29±0.56),which was lower than(5.12±1.49)of high-grade gliomas(P〈0.05).In the peritumoral edema area,the rCBV value of low-grade gliomas was(0.89±0.29),which was lower than(1.32±0.24)of high-grade gliomas(P〈0.05).Conclusion DWI and T2*DSC PWI can be combined with the routine MRI scaning in grading brain gliomas as a noninvasive means.
出处
《中国实验诊断学》
2016年第3期396-398,共3页
Chinese Journal of Laboratory Diagnosis
基金
黑龙江省自然科学基金面上项目(H201453)