Volume 17, Issue 1 (Spring 2025)
2025, 17(1): 74-80 |
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Ethics code: IR.TUMS.MEDICINE.REC.1398.759
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Bastanipour Y, Raminfard S, Amanpour-Gharaei B, Izanlou M, Farsi M, Oghabian M A. Investigation on the Microstructural Changes using Diffusion Kurtosis Imaging in Differentiating Glioma Recurrence and Normal Tissue. North Khorasan University of Medical Sciences 2025; 17 (1) :74-80
URL: http://journal.nkums.ac.ir/article-1-3164-en.html
URL: http://journal.nkums.ac.ir/article-1-3164-en.html
Yasaman Bastanipour1 
, Samira Raminfard2 , Behzad Amanpour-Gharaei3 , Mohsen Izanlou1 , Maryam Farsi4 , Mohammad Ali Oghabian *5
, Samira Raminfard2 , Behzad Amanpour-Gharaei3 , Mohsen Izanlou1 , Maryam Farsi4 , Mohammad Ali Oghabian *5
1- Department of Radiology and Medical Physics, North Khorasan University of Medical Sciences, Bojnurd, Iran
2- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
3- Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
4- Medical Imaging Center, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran
5- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran ,oghabian@sina.tums.ac.ir
2- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
3- Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
4- Medical Imaging Center, Imam Khomeini Hospital Complex (IKHC), Tehran University of Medical Sciences, Tehran, Iran
5- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran ,
Abstract: (508 Views)
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
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
Keywords: Diffusion Kurtosis Imaging (DKI), Diffusion Tensor Imaging (DTI), Diffusion Weighted Imaging (DWI), Edema, Glioma
Type of Study: Orginal Research |
Subject:
Basic Sciences
Received: 2024/07/23 | Accepted: 2024/10/22 | Published: 2025/03/12
Received: 2024/07/23 | Accepted: 2024/10/22 | Published: 2025/03/12
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