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MR diffusion imaging: research advances in prognosis prediction of gliomas
LIU Zeliang  WANG Xiaochun  ZHANG Hui  TAN Yan 

Cite this article as: Liu ZL, Wang XC, Zhang H, et al. MR diffusion imaging: research advances in prognosis prediction of gliomas[J]. Chin J Magn Reson Imaging, 2021, 12(1): 77-80. DOI:10.12015/issn.1674-8034.2021.01.017.


[Abstract] Glioma is the most common malignant tumor in central nervous system. The prognosis of glioma varies greatly with different pathological grades and genotypes. MRI diffusion imaging reflects the changes of tissue structure by detecting the micro movement of water molecules, which has important clinical significance for the prognosis prediction of glioma. Diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), stretched exponential model diffusion-weighted imaging (SEM DWI), ultra-high b-value DWI imaging and neurite orientation dispersion and density imaging (NODDI) can quantitatively detect the diffusion information of water molecules in tissues, reflect the heterogeneity of tumor and cell proliferation, which provides new ideas for accurately predicting the prognosis of glioma. This paper reviews the research progress of MRI diffusion imaging in predicting the prognosis of glioma.
[Keywords] magnetic resonance imaging；diffusion imaging；glioma；prognosis

LIU Zeliang1   WANG Xiaochun2   ZHANG Hui2   TAN Yan2*  

1 College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China

2 Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan 030001, China

*Corresponding author: Tan Y, E-mail: tanyan123456@sina.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article is supported by the National Natural Science Found of China No.82071893 the National Natural Science Found of China No.81701681 the National Natural Science Found of China No.81771824 and the National Natural Science Found of China No81971593
Received  2020-09-03
Accepted  2020-11-28
DOI: 10.12015/issn.1674-8034.2021.01.017
Cite this article as: Liu ZL, Wang XC, Zhang H, et al. MR diffusion imaging: research advances in prognosis prediction of gliomas[J]. Chin J Magn Reson Imaging, 2021, 12(1): 77-80. DOI:10.12015/issn.1674-8034.2021.01.017.

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