Huang Jie,Li Xiaoguang,Kang Houyi,Zhang Yulong,Zhang Weiguo.Dynamic contrast enhanced magnetic resonance imaging and dynamic susceptibility contrast magnetic resonance imaging in grading of glioma[J].J Amry Med Univ (J Third Mil Med Univ),2015,37(07):672-677.
Huang Jie,Li Xiaoguang,Kang Houyi,Zhang Yulong,Zhang Weiguo.Dynamic contrast enhanced magnetic resonance imaging and dynamic susceptibility contrast magnetic resonance imaging in grading of glioma[J].J Amry Med Univ (J Third Mil Med Univ),2015,37(07):672-677.DOI:
时其诊断敏感性及特异性分别为89.7%和90.5%,当Ve=0.343时其诊断敏感性及特异性分别为86.2%和85.7%。高级别胶质瘤的平均rCBV及rCBF值均显著高于低级别胶质瘤[(2.649±1.351) vs (1.480±0.391);(2.427±1.248) vs (1.377±0.545),P0.01
Objective To analyze the correlation of the parameters derived from dynamic contrast enhanced magnetic resonance imaging (DCE
-MRI)
Ktrans (volume transfer constant) and Ve (volume fraction of extravascular extracellular space)
and those from dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI)
rCBV (relative cerebral blood volume) and rCBF (relative cerebral blood flow) with the grades of glioma
and compare the values of the parameters in the grading. Methods A total of 85 patients with different types of pathologically confirmed gliomas
including 39 with low grade gliomas (LGGs) and 46 with high grade gliomas (HGGs)
firstly diagnosed in our hospital from September 2013 to September 2014 were enrolled in this study. DSC MRI and/or DCE-MRI were performed on the patients before surgery
and the corresponding perfusion parameters were obtained after software processing. Analysis of variance (ANOVA) was used to compare the maximal values of Ktrans
Ve
rCBV and rCBF among those gliomas of different grades. Pearson correlation analyses were used to determine correlation of Ktrans
Ve
rCBV
and rCBF with glioma grades. Receiver operating characteristic (ROC) curve analyses were carried out to determine the threshold for Ktrans
Ve
rCBV and rCBF to distinguish different grades of gliomas. Results The mean values of Ktrans and Ve were significantly higher in HGG than LGG (0.118±0.062 vs 0.029±0.020/min
-1
0.601±0.246 vs 0.157±0.177
both P0.001). When the threshold value of Ktrans was 0.055/min
-1
the sensitivity and specificity were 89.7% and 90.5%
respectively. And when the value of Ve was 0.343
the sensitivity and specificity were 86.2% and 85.7%
respectively. The mean values of rCBV and rCBF were significantly higher in HGG (2.649±1.351 and 2.427±1.248
respectively) than LGG (1.480±0.391 and 1.377±0.545
both P0.001). The threshold values of rCBV (2.043) and rCBF (1.886) provided the sensitivity (95.2% and 85.7%) and specificity (92.9% and 85.7%) in differentiation between LGG and HGG. Conclusion The parameters of Ktrans and Ve
and those of rCBV and rCBF a
re closely correlated with histopathological grades of gliomas. rCBV has the highest sensitivity and specificity