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Research progress of imaging and artificial intelligence technology in quantitative assessment of sarcopenia in liver cirrhosis
XU Yuan  LIU Jianli 

Cite this article as: Xu Y, Liu JL. Research progress of imaging and artificial intelligence technology in quantitative assessment of sarcopenia in liver cirrhosis[J]. Chin J Magn Reson Imaging, 2022, 13(11): 149-153. DOI:10.12015/issn.1674-8034.2022.11.030.


[Abstract] Sarcopenia is a common complication of liver cirrhosis and an important cause of poor prognosis in patients with liver cirrhosis, the early identification and prevention has become the focus of clinical work and a hot spot. Imaging methods can not only evaluate liver lesions in patients with liver cirrhosis, but also quantify muscle area, muscle density and muscle fat content to evaluate the prognosis of liver cirrhosis; in addition, the application of artificial intelligence (AI) technology in the medical field has provided new ideas for accurate and rapid identification and quantitative assessment of cirrhotic sarcopenia. This article focuses on dual-energy X-ray absorptiometry (DEXA), ultrasound (US), MRI, CT and AI techniques for quantitative evaluation of cirrhotic sarcopenia are reviewed with the aim of providing imaging references to guide clinical decision-making.
[Keywords] liver cirrhosis；sarcopenia；muscle area；muscle density；muscle fat content；dual-energy X-ray absorptiometry；ultrasound；magnetic resonance imaging；computed tomography；artificial intelligence；radiomics

XU Yuan   LIU Jianli*  

Radiology Department of Lanzhou University Second Hospital, Second Clinical School of Lanzhou University, Key Laboratory of Medical Imaging of Gansu Province, Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou 730030, China

Liu JL, E-mail: lz8943115@qq.com

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China Regional Project (No. 81960337); Basic Research Innovation Group Project of Gansu Province (No. 21JR7RA432); Lanzhou Talent Innovation and Entrepreneurship Project (No. 2020-RC-49); Lanzhou University Second Hospital "Cuiying Postgraduate Instructor" Cultivation Program Project (No. CYDSPY202003).
Received  2022-03-29
Accepted  2022-10-11
DOI: 10.12015/issn.1674-8034.2022.11.030
Cite this article as: Xu Y, Liu JL. Research progress of imaging and artificial intelligence technology in quantitative assessment of sarcopenia in liver cirrhosis[J]. Chin J Magn Reson Imaging, 2022, 13(11): 149-153. DOI:10.12015/issn.1674-8034.2022.11.030.

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