Full length articleEvaluation of histopathological changes in the microstructure at the center and periphery of glioma tumors using diffusional kurtosis imaging

- Normalized MK exhibited the highest sensitivity in distinguishing HGGs from LGGs.
- Significant correlations were found between normalized MK and histopathologic findings.
- DKI can more accurately assess microstructural changes of gliomas.

ObjectiveTo explore the relationship between alterations in gliomas revealed by diffusional kurtosis imaging (DKI) and the histopathological microstructural changes.MethodsThirty-seven patients with cerebral gliomas underwent conventional MRI and DKI at 3.0 T. Normalized fractional anisotropy (FA), mean diffusivity (MD) and mean kurtosis (MK) were compared in different regions of glioma tumors. Parameters with a high sensitivity and specificity regarding the discrimination of glioma grade were evaluated using receiver operating characteristic (ROC) curve analysis. Correlations between normalized FA, MD, and MK and histopathological findings (tumor cell density, total vascular area [TVA], and Ki-67 labeling index [LI]) were assessed using Pearson correlation analyses.ResultsNormalized FA, MD, and MK differed significantly between low-grade gliomas (LGGs) and high-grade gliomas (HGGs) (P = 0.02, P = 0.001 and P < 0.001, respectively) at the center of the tumor. Normalized MK exhibited the highest sensitivity (80%) and specificity (100%) in distinguishing HGGs from LGGs. Relative to the tumor center, normalized MK was significantly increased in the tumor periphery (P < 0.001) in LGGs and significantly decreased (P = 0.002) in HGGs. The significant correlations were found between normalized MK and all histopathological findings (tumor cell density: r = 0.596, P = 0.006; TVA: r = 0.764, P < 0.001; and Ki-67 LI: r = 0.766, P < 0.001) among samples from the center of the tumor.ConclusionDKI, especially concerning the MK parameter, demonstrated high sensitivity in the detection of microstructural changes in patients with brain gliomas.