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Research progress in radiomics on prognosis prediction of lower-grade gliomas
LI Yangyang  TAN Yan 

Cite this article as: Li YY, Tan Y. Research progress in radiomics on prognosis prediction of lower-grade gliomas[J]. Chin J Magn Reson Imaging, 2022, 13(11): 129-132, 148. DOI:10.12015/issn.1674-8034.2022.11.025.

[Abstract] Lower-grade gliomas (LGGs) are World Health Organization (WHO) grade 2 and 3 gliomas. Compared with glioblastoma, LGGs have lower pathological grade and better prognosis. However, due to its aggressive growth mode, some patients still have recurrence or malignant transformation after treatment. Therefore, early prognosis prediction is expected to provide individualized and accurate treatment for LGGs patients and improve their quality of life. Radiomics, extracting and analyzing high-throughput imaging features from images, and converting the image information into intuitive data to reflect the internal heterogeneity of tumors, is helpful for clinicians to select the appropriate treatment plan for patients. The radiomics based on magnetic resonance imaging can directly predict the prognosis of LGGs, and can also combine the radiomics features with gene phenotype or immune features to predict the prognosis. However, many studies still have limitations. It is the direction of future research to develop radiomics based on MRI functional imaging and combine radiomics with newly discovered prognostic related genes or immunological features for prognosis prediction. This article reviews the prognostic factors of LGGs and the role of radiomics in predicting the prognosis of LGGs, in order to expand the method of predicting the prognosis based on radiomics and provide a new idea for accurate clinical diagnosis and treatment.
[Keywords] lower-grade gliomas;glioma;prognosis;radiomics;radiogenomics;magnetic resonance imaging

LI Yangyang1   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

Tan Y, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82071893).
Received  2022-07-09
Accepted  2022-11-07
DOI: 10.12015/issn.1674-8034.2022.11.025
Cite this article as: Li YY, Tan Y. Research progress in radiomics on prognosis prediction of lower-grade gliomas[J]. Chin J Magn Reson Imaging, 2022, 13(11): 129-132, 148. DOI:10.12015/issn.1674-8034.2022.11.025.

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