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Research progress in predicting molecular typing of lower grade glioma by functional magnetic resonance imaging
SHEN Pengxin  TAN Yan 

Cite this article as: SHEN P X, TAN Y. Research progress in predicting molecular typing of lower grade glioma by functional magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2023, 14(2): 168-173. DOI:10.12015/issn.1674-8034.2023.02.030.

[Abstract] Glioma is the most common intracranial malignant tumor with high recurrence rate and poor prognosis. Lower grade glioma refers to tumors classified into grade 2 and grade 3 by World Health Organization (WHO). Molecular classification of lower grade glioma has important guiding significance for its treatment and prognosis. Therefore, the diagnosis of molecular classification is of great important for clinical management of glioma. The genetic testing based on pathological tissue is the gold standard, which has certain invasiveness and hysteresis quality. In recent years, with the development of functional magnetic resonance imaging, more and more studies have clarified the value of functional magnetic resonance imaging in predicting molecular typing for lower grade glioma. This paper reviews the research progress of functional magnetic resonance imaging in predicting the molecular classification of lower grade gliomas in recent years.
[Keywords] lower grade glioma;molecular typing;magnetic resonance imaging;functional magnetic resonance imaging;diffusion tensor imaging;diffusion kurtosis imaging;intravoxel incoherent motion;mean apparent propagation factor magnetic resonance imaging;arterial spin labeling;dynamic susceptibility contrast;dynamic contrast-enhanced;amide proton transfer imaging

SHEN Pengxin1   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

*Correspondence to: Tan Y, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82071893).
Received  2022-09-19
Accepted  2023-01-12
DOI: 10.12015/issn.1674-8034.2023.02.030
Cite this article as: SHEN P X, TAN Y. Research progress in predicting molecular typing of lower grade glioma by functional magnetic resonance imaging[J]. Chin J Magn Reson Imaging, 2023, 14(2): 168-173. DOI:10.12015/issn.1674-8034.2023.02.030.

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