Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Vol. 17, 04 December 2023
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Glioma is a primary intracranial malignant tumor, which is difficult to be cured and has the characteristics of easy recurrence and high mortality rate, therefore, it is of great clinical significance to accurately grade glioma before operation. Since biopsy of gliomas is relatively difficult and its accuracy cannot be guaranteed, imaging examination has become an important means of clinical grading of gliomas. This paper, through the literature analysis method, reviews the previous studies of applying imaging methods to grade gliomas in China and abroad and summarizes the main techniques of MRI and CT and their grading effects. Finally, this paper finds that MRI and CT can be used to grade gliomas alone, but both have limitations, while the combined application of MRI and CT has high sensitivity and specificity for the diagnosis and grading of gliomas, which makes up for their respective shortcomings, and is worthy of wide application.
Gliomas, Magnetic Resonance Imaging, Computed Tomography
1. Ma Qingyou, Geng Qilong & Wang Fafen. (2022). Application Value of Magnetic Resonance Imaging in Differential Diagnosis of Glioma. Chinese Community Doctors(16),96-98. doi:CNKI:SUN:XCYS.0.2022-16-032.
2. Marsh, J. C., Wendt, J. A., Herskovic, A. M., Diaz, A., Gielda, B. T., & Byrne, R. W. (2012). High-grade glioma relationship to the neural stem cell compartment: a retrospective review of 104 cases. International journal of radiation oncology, biology, physics, 82(2), e159–e165. https://doi.org/10.1016/j.ijrobp.2010.08.036
3. Ryu, Y. J., Choi, S. H., Park, S. J., Yun, T. J., Kim, J. H., & Sohn, C. H. (2014). Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity. PloS one, 9(9), e108335. https://doi.org/10.1371/ journal.pone.0108335
4. Sugahara, T., Korogi, Y., Kochi, M., Ikushima, I., Shigematu, Y., Hirai, T., Okuda, T., Liang, L., Ge, Y., Komohara, Y., Ushio, Y., & Takahashi, M. (1999). Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. Journal of magnetic resonance imaging : JMRI, 9(1), 53–60. https://doi.org/10.1002/(sici)1522-2586 (199901)9:1<53::aid-jmri7>3.0.co;2-2
5. Li Yongming. (2020). The differential diagnostic value of magnetic resonance imaging in deep lesions of primary central nervous system lymphoma and high-grade glioma. Henan Medical Research(08), 1477-1478. doi:CNKI:SUN:HNYX.0.2020-08-070.
6. Wang Wei, Li Hong, Ji Peng & Tan Wengang. (2020). Analysis The Diagnostic Value of MR Perfusion Weighted Imaging for the Diagnosis of Gliomas and Brain Single Metastasis. Chinese Journal of CT and MRI(08),19-21. doi:CNKI:SUN:CTMR.0.2020-08-007.
7. Ma Xiuhua, Lv Furong, Lv Fajin, Xiao Zhibo, Huang Youxin, Li Xinyou... & Pan Jing. (2009). Evaluating rat model of acute cerebral ischemia-reperfusion by computed tomography perfusion imaging.. Acta Academiae Medicinae Militaris Tertiae (06),506-509. doi:CNKI:SUN:DSDX.0.2009-06-015.
8. Zhang Changfei, Du Fuchuan & Zhang Changkai. (2021).Feasibility that Multi-slice Spiral CT Perfusion Imaging is Used to Evaluate the Pathological Grade of Glioma. Chinese Journal of CT and MRI(09),22-24. doi:CNKI:SUN:CTMR.0.2021-09-043.
9. Liu Gang, Cui Guosheng, Sun Baoshan & Pan Liang. (2016). Application of Multi-slice Spiral CT Perfusion imaging in Cerebral Glioma Pathological grade. Chinese And Foreign Medical Research(06),61-62. doi:10.14033/j.cnki.cfmr.2016.6.033.
10. Bai Zhenglu, Li Jun & Tian Shuchang. (2020). Application of CT-MR Image Fusion in Postoperative Radiotherapy for Gliomas. China Medical Devices (12),20-23. doi:CNKI:SUN:YLSX.0.2020-12-006.
11. Wu Baolai. (2021). Application of CT combined with magnetic resonance imaging in preoperative diagnosis of glioma. Chinese Remedies & Clinics (14), 2472-2474. doi:CNKI:SUN:YWLC.0.2021-14-022.
12. Long Chunqin, Zhou Zhiqiang, He Wenjun, Zhang Zhoubing & Zhang Dawei. (2020). Application of CT Combined with MRI in Preoperative Diagnosis of Glioma. Chinese Journal of CT and MRI(06),9-11+21. doi:CNKI:SUN:CTMR.0.2020-06-003.
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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