Non-Invasive Estimation of Glioma Mutation and Expression by Histogram Analysis of Dynamic Contrast-Enhanced MRI.

Objectives: To investigate whether glioma isocitrate dehydrogenase () 1 mutation and vascular endothelial growth factor () expression can be estimated by histogram analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

Methods: Chinese Glioma Genome Atlas (CGGA) database was wined for differential expression of in gliomas with different genotypes. The expression and  genotypes of 56 glioma samples in our hospital were assessed by immunohistochemistry. Preoperative DCE-MRI data of glioma samples were reviewed. Regions of interest (ROIs) covering tumor parenchyma were delineated. Histogram parameters of volume transfer constant ( ) and volume of extravascular extracellular space per unit volume of tissue ( ) derived from DCE-MRI were obtained. Histogram parameters of , and expression of mutant type ( ) gliomas were compared with the wildtype ( ) gliomas. Receiver operating characteristic (ROC) curve analysis was performed to differentiate from gliomas. The correlation coefficients were determined between histogram parameters of , and expression in gliomas.

Results: In CGGA database, expression in gliomas was lower as compared to wildtype counterpart. The immunohistochemistry of glioma samples in our hospital also confirmed the results. Comparisons demonstrated statistically significant differences in histogram parameters of and [mean, standard deviation (SD), 50th, 75th, 90th. and 95th percentile] between and gliomas ( < 0.05, respectively). ROC curve analysis revealed that 50th percentile of (0.019 min) and (0.039) provided the perfect combination of sensitivity and specificity in differentiating gliomas with from . Irrespective of mutation, histogram parameters of and were correlated with expression in gliomas ( < 0.05, respectively).

Conclusions: expression is significantly lower in gliomas as compared to the wildtype counterpart, and it is non-invasively predictable with histogram analysis of DCE-MRI.