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Research progress of artificial intelligence in MRI diagnosis of glioma
ZHAO Weiwei  SUN Jing  ZHU Jingqi 

Cite this article as: Zhao WW, Sun J, Zhu JQ. Research progress of artificial intelligence in MRI diagnosis of glioma[J]. Chin J Magn Reson Imaging, 2021, 12(8): 88-90. DOI:10.12015/issn.1674-8034.2021.08.019.


[Abstract] Glioma is the most common primary intracranial tumor with invasive growth, which is difficult to be completely removed by surgery. The cure rate of distant metastasis and insensitive to radiotherapy and chemotherapy is very low, and the recurrence rate is high. The long-term survival rate of patients is only 20%. MRI is the preferred method for the examination of brain glioma, and MRI-based multimodal imaging technology plays a key role in the diagnosis and differential diagnosis of brain glioma, pre-treatment evaluation, surgical navigation and post-treatment follow-up. However, for less experienced radiologists and those not trained in brain tumor MRI diagnostic system, the incidence of misdiagnosis and the missed diagnosis was significantly increased. In addition, radiologists often experience physical and mental fatigue in the face of a large number of MRI images, which reduces diagnostic accuracy. Therefore, how to liberate radiologists from the traditional reading of MRI images has become a concern. Artificial intelligence is used to simulate human thinking and efficiently carry out data mining and integration, so as to realize accurate diagnosis and differential diagnosis of digital medicine has developed rapidly. Extracting image information which is difficult to be effectively recognized by human eyes from image big data, and analyzing this information to diagnose disease and establish prediction model has become a technology with broad application prospects. In this paper, the research progress of artificial intelligence in MRI diagnosis of brain glioma is reviewed in order to improve the understanding of artificial intelligence in differential diagnosis of brain glioma.
[Keywords] artificial intelligence；glioma；magnetic resonance imaging

ZHAO Weiwei1   SUN Jing1   ZHU Jingqi2*  

1 Putuo People's Hospital, Tongji University, Shanghai 200060, China

2 Tenth People's Hospital of Tongji University, Shanghai 200072, China

Zhu JQ, E-mail: melvine0305@sina.com

Conflicts of interest   None.

Received  2021-01-10
Accepted  2021-02-22
DOI: 10.12015/issn.1674-8034.2021.08.019
Cite this article as: Zhao WW, Sun J, Zhu JQ. Research progress of artificial intelligence in MRI diagnosis of glioma[J]. Chin J Magn Reson Imaging, 2021, 12(8): 88-90. DOI:10.12015/issn.1674-8034.2021.08.019.

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