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.
关键词
肝细胞癌/磁共振成像/扩散加权成像/非高斯分布模型
Key words
hepatocellular carcinoma/magnetic resonance imaging/diffusion weighted imaging/non-Gaussian distribution model
维普
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