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Research progress of magnetic resonance diffusion imaging in glioma grading and IDH genotype prediction
ZHANG Chi  GAO Yang 

Cite this article as: ZHANG C, GAO Y. Research progress of magnetic resonance diffusion imaging in glioma grading and IDH genotype prediction[J]. Chin J Magn Reson Imaging, 2023, 14(7): 149-154. DOI:10.12015/issn.1674-8034.2023.07.027.


[Abstract] Glioma is the most common intracranial malignant tumor, and the treatment and prognosis of different grades of glioma are obviously different. With the update of World Health Organization (WHO) classification in 2021, the role of isocitrate dehydrogenase (IDH) is emphasized. IDH is an important molecular index in the genetic characteristics of glioma, and the different states of IDH are of great significance to the surgical methods and prognosis of glioma patients. With the development of multi-modal MRI, various functional imaging techniques have been used to evaluate glioma grading, predict genotyping and evaluate prognosis, with considerable accuracy and practicability. This article mainly reviews the applications of different diffusion MRI (dMRI) techniques (diffusion tensor imaging, diffusion tensor imaging, diffusion kurtosis imaging, neurite orientation dispersion and density imaging, mean apparent propagator-MRI) in glioma classification and molecular genotype prediction, in order to further reveal the pathophysiological mechanism of glioma patients and provide ideas and directions for the follow-up diagnosis and treatment process and improving the prognosis of patients.
[Keywords] glioma；genotyping；magnetic resonance imaging；diffusion magnetic resonance imaging；neurite orientation dispersion and density imaging；mean apparent propagator-magnetic resonance imaging

ZHANG Chi   GAO Yang*  

Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010059, China

Corresponding author: Gao Y, E-mail: 1390903990@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Inner Mongolia Autonomous Region Science and Technology Plan Project (No. 2019GG047).
Received  2023-03-08
Accepted  2023-06-25
DOI: 10.12015/issn.1674-8034.2023.07.027
Cite this article as: ZHANG C, GAO Y. Research progress of magnetic resonance diffusion imaging in glioma grading and IDH genotype prediction[J]. Chin J Magn Reson Imaging, 2023, 14(7): 149-154. DOI:10.12015/issn.1674-8034.2023.07.027.

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