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Application of radiomics in spinal diseases
Pahati·Tuxunjiang   YANG Laihong  HE Xiong  CHANG Yushan  GUO Hui 

Cite this article as: Citation:Tuxunjiang P, Yang LH, He X, et al. Application of radiomics in spinal diseases[J]. Chin J Magn Reson Imaging, 2022, 13(5): 162-166. DOI:10.12015/issn.1674-8034.2022.05.035.


[Abstract] Radiomics, which extracts and quantifies feature information from medical images that cannot be recognized by traditional image examination methods, has gradually become a research hot spot in the clinical implementation of precision medicine and personalized medicine. The clinical symptoms of spinal diseases are single, and traditional imaging methods are still challenging for accurate localization, diagnosis and differential diagnosis of some spinal diseases. The cross fusion of artificial intelligence and images has greatly improved the accuracy of disease diagnosis by front-line workers and realized the prediction of unknown data of diseases. At present, there is no systematic review of the application of imaging in the diagnosis of spinal diseases. Therefore, the present situation and progress of the application of radiomics in spinal diseases are emphatically summarized, and the challenges and future development direction of spinal radiography are proposed.
[Keywords] spinal disease；machine leaning；deep learning；artificial intelligence；radiomics

Pahati·Tuxunjiang    YANG Laihong   HE Xiong   CHANG Yushan   GUO Hui*  

Department of Radiology, Affiliated First Hospital of Xinjiang Medical University, Urumqi 830054, China

Guo H, E-mail: guohui9804@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS General Projects of Natural Science Foundation of Xinjiang Uygur Autonomous Region (No. 2017D01C300); Graduate Innovation and Entrepreneurship Project of Xinjiang Medical University (No. CXCY2021017).
Received  2021-12-24
Accepted  2022-04-13
DOI: 10.12015/issn.1674-8034.2022.05.035
Cite this article as: Citation:Tuxunjiang P, Yang LH, He X, et al. Application of radiomics in spinal diseases[J]. Chin J Magn Reson Imaging, 2022, 13(5): 162-166. DOI:10.12015/issn.1674-8034.2022.05.035.

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