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Research progress of MRI based radiomics in lung cancer
JIANG Yehai  PU Doudou  YU Nan 

Cite this article as: JIANG Y H, PU D D, YU Nan. Research progress of MRI based radiomics in lung cancer[J]. Chin J Magn Reson Imaging, 2023, 14(7): 166-170. DOI:10.12015/issn.1674-8034.2023.07.030.

[Abstract] Technologies such as computed tomography (CT), positron emission tomography, and magnetic resonance imaging (MRI) play an important role in the diagnosis, staging, treatment, postoperative monitoring, and response evaluation of lung cancer, providing anatomical and functional information about the phenotype of lung cancer. However, a large amount of genetic and prognostic information remains undiscovered. Radiomics can deeply mine high-dimensional data, reflecting deep biological information such as molecular and gene expression of lesions, which can help in the accurate prediction of lung cancer prognosis and treatment efficacy. In the past, lung cancer radiomics studies were mainly based on CT images. With the continuous improvement of lung MRI technology and its significant increase in soft tissue resolution, magnetic resonance imaging has also been widely used in lung cancer radiomics research. This article will introduce the model construction of MRI lung cancer radiomics and the application of radiomics in lung cancer differentiation, classification, pathological grading, gene expression, etc., and discuss the current limitations and prospects of lung MRI radiomics, in order to provide new methods for the precise diagnosis and treatment of lung cancer and promote the clinical application of radiomics research.
[Keywords] magnetic resonance imaging;radiomics;lung cancer;pulmonary nodules;feature extraction;gene phenotype;pathological grade

JIANG Yehai1   PU Doudou1   YU Nan1, 2*  

1 School of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang 712046, China

2 Department of Medical Imaging, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China

Corresponding author: Yu N, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS Key Industry Innovation Chain of Shaanxi Science and Technology Department (No. 2021ZDLSF04-10); Basic Research Project of Shaanxi Science and Technology Department (No. 2022JM-453); National Innovation and Entrepreneurship Training Program for College Students (No. 202210716013).
Received  2022-11-29
Accepted  2023-06-26
DOI: 10.12015/issn.1674-8034.2023.07.030
Cite this article as: JIANG Y H, PU D D, YU Nan. Research progress of MRI based radiomics in lung cancer[J]. Chin J Magn Reson Imaging, 2023, 14(7): 166-170. DOI:10.12015/issn.1674-8034.2023.07.030.

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