Investigation on the Microstructural Changes using Diffusion Kurtosis Imaging in Differentiating Glioma Recurrence and Normal Tissue

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction

Preoperative planning for glioma tumor resection and radiotherapy treatment requires proper delineation of the tumor and surrounding brain tumor regions. The present study aimed to investigate the importance of various diffusion parameters, especially the mean kurtosis (MK), in discriminating between recurrent tumors, edema, and normal areas.

Method

A total of 19 patients with high-grade glioma underwent postoperative diffusion imaging. The authors extracted diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) models to evaluate the data in manually delineated regions of interest (ROI) and used their derived parameters to characterize edema, tumor, and normal brain areas. The Wilcoxon test was used to determine the significance of the parameters in the three groups: recurrent, edema, and normal. Moreover, the Mann-Whitney test was employed to determine the significance between the two groups of recurrent and normal, as well as between recurrent and edema.

Results

Considering the p-value less than 0.05, the apparent diffusion coefficient (ADC), mean diffusion (MD), and MK parameters were significantly different between some of the three groups. The ADC and MD indicated significant differences between the two recurrent and normal groups, with P-values of 0.041 (P<0.05). In addition, there was a significant difference in MK between the two recurrent and normal groups with P-values of 0.02 (P<0.05).

Conclusion

Diffusion parameters are promising in differentiating between recurrent and normal areas in high-grade gliomas after surgery and after treatment

Language:
Persian
Published:
Journal of North Khorasan University of Medical Sciences, Volume:17 Issue: 1, 2025
Pages:
74 to 80
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