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Research progresses of non-Gaussian of diffusion weighted imaging models in hepatocellular carcinoma
LI Waner  CHAI Ruimei 

Cite this article as: LI W E, CHAI R M. Research progresses of non-Gaussian of diffusion weighted imaging models in hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2024, 15(9): 194-200. DOI:10.12015/issn.1674-8034.2024.09.034.


[Abstract] Diffusion weighted imaging (DWI) has been widely applied in hepatocellular carcinoma (HCC). Due to the traditional DWI technology is difficult to accurately reflect the diffusion information of water molecules deviating from a Gaussian distribution. In recent years, several studies have been investigated the role of non-Gaussian DWI models in HCC. This imaging technology application has expanded from the nervous system to the body and it has been partially applied to the diagnosis and differential diagnosis, pathological classification and grading, evaluation of treatment response, and prognostic evaluation in HCC. Based on this, this paper summarized the current state of research and the technical principles of non-Gaussian distribution DWI models in HCC, aiming to further analyze the challenges of advanced diffusion technology in HCC, promote the further application and development of non-Gaussian distribution imaging models in HCC. In addition, the future research directions will also be discussed.
[Keywords] hepatocellular carcinoma；magnetic resonance imaging；diffusion weighted imaging；non-Gaussian distribution model

LI Waner   CHAI Ruimei*  

Department of Radiology, The First Hospital of China Medical University, Shenyang 110002, China

Corresponding author: CHAI R M, E-mail: chairuimei@sina.cn

Conflicts of interest   None.

Received  2024-04-30
Accepted  2024-08-26
DOI: 10.12015/issn.1674-8034.2024.09.034
Cite this article as: LI W E, CHAI R M. Research progresses of non-Gaussian of diffusion weighted imaging models in hepatocellular carcinoma[J]. Chin J Magn Reson Imaging, 2024, 15(9): 194-200. DOI:10.12015/issn.1674-8034.2024.09.034.

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