基于非高斯分布模型扩散加权成像在肝细胞癌中的研究进展

Research progresses of non-Gaussian of diffusion weighted imaging models in hepatocellular carcinoma

扩散加权成像(diffusion weighted imaging,DWI)已经在肝细胞癌(hepatocellularcarcinoma,HCC)中广泛应用。由于传统DWI难以准确反映偏离高斯分布的水分子扩散信息,越来越多的研究致力于探讨非高斯分布模型DWI在HCC中的作用。此成像技术应用从神经系统拓展到体部,目前部分已应用于HCC的诊断与鉴别诊断、病理分类、分级、评价治疗反应、预后评估等方面。基于此,本文就非高斯分布模型DWI在HCC中的研究现状及技术原理进行总结,旨在进一步分析先进的扩散技术在HCC应用中存在的挑战,推动非高斯分布模型DWI在HCC中的进一步应用和发展。此外还将对未来的研究方向展开探讨。

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.