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The application of diffusion magnetic resonance imaging-based brain tissue microstructure imaging in the diagnosis and treatment of brain tumors
HU Zhixuan  MAO Chunping  WANG Mengzhu  YAN Xu  MAO Jiaji  SHEN Jun 

Cite this article as: HU Z X, MAO C P, WANG M Z, et al. The application of diffusion magnetic resonance imaging-based brain tissue microstructure imaging in the diagnosis and treatment of brain tumors[J]. Chin J Magn Reson Imaging, 2024, 15(4): 197-206. DOI:10.12015/issn.1674-8034.2024.04.033.


[Abstract] Diffusion MRI (dMRI) is an imaging technique that utilizes signal contrast generated by the changes in degree and direction of water molecules during the diffusion process. The effectiveness of dMRI primarily relies on the acquisition of MR signals and the fitting models employed. dMRI has significant applications in non-invasively revealing the microstructural features of brain tissue and brain diseases. In recent years, innovative diffusion encoding models such as multidimensional diffusion (MDD), novel signal models such as mean apparent propagator MRI (MAP-MRI), and new compartment models such as neurite orientation dispersion and density imaging (NODDI), have been continuously proposed, which have greatly propelled the advancement of brain tissue microstructure imaging techniques. This article offers a comprehensive review of the current advancements in diverse brain tissue microstructure imaging technologies utilizing dMRI, focusing on signal acquisition and model fitting. It explores their initial use in prevalent brain tumors like gliomas and brain metastases, emphasizing clinical concerns such as distinguishing between different types of tumors, determining tumor grades, molecular subtyping, evaluating treatment effectiveness, and predicting patient prognosis. Moving forward, there is a need to enhance the imaging parameters of dMRI-based brain tissue microstructure imaging technologies by optimizing factors like b-value ranges and imaging duration. Moreover, further research and comparison are required to assess the utility of various innovative brain tissue microstructure imaging technologies in addressing the aforementioned critical clinical issues. The goal is to advance the development and clinical implementation of dMRI-based brain tissue microstructure imaging technologies, uncovering the unique features of brain tumors from a microscopic morphology perspective and providing substantial evidence for early diagnosis, differential diagnosis, tumor grading, molecular subtyping, and prognosis forecasting in brain tumor cases.
[Keywords] brain neoplasms；diffusion magnetic resonance imaging；magnetic resonance imaging；diffusion encoding；signal model；compartment model

HU Zhixuan1   MAO Chunping1   WANG Mengzhu2   YAN Xu2   MAO Jiaji1   SHEN Jun1*  

1 Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China

2 MR Scientific Marketing, Siemens Medical Systems Co., Ltd, Shanghai 201318, China

Corresponding author: SHEN J, E-mail: shenjun@mail.sysu.edu.cn

Conflicts of interest   None.

Received  2023-10-18
Accepted  2024-03-15
DOI: 10.12015/issn.1674-8034.2024.04.033
Cite this article as: HU Z X, MAO C P, WANG M Z, et al. The application of diffusion magnetic resonance imaging-based brain tissue microstructure imaging in the diagnosis and treatment of brain tumors[J]. Chin J Magn Reson Imaging, 2024, 15(4): 197-206. DOI:10.12015/issn.1674-8034.2024.04.033.

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