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Advances in non-Gaussian diffusion models for cervical cancer
WANG Sisi  ZHANG Ya  CUN Hongli  ZHANG Lan  ZHANG Huimei  CHEN Jie  AI Conghui 

Cite this article as: WANG S S, ZHANG Y, CUN H L, et al. Advances in non-Gaussian diffusion models for cervical cancer[J]. Chin J Magn Reson Imaging, 2025, 16(4): 202-207. DOI:10.12015/issn.1674-8034.2025.04.033.


[Abstract] Non-Gaussian diffusion models are derived from traditional magnetic resonance diffusion-weighted imaging (DWI). Currently, there are several models such as intravoxel incoherent motion (IVIM), continuous-time random walk (CTRW), diffusion-kurtosis imaging (DKI), fractional order calculus (FROC), stretched exponential model (SEM), diffusion tensor imaging-angi perivascular space, white matter tract integrity, and mean apparent propagator MRI and so on. Compared to traditional diffusion models, these Non-Gaussian diffusion models can more accurately capture complex diffusion processes, effectively reflecting the complexity and heterogeneity of tissue microstructures, and providing additional tissue structural information. In recent years, IVIM, CTRW, DKI, FROC and SEM have been gradually applied in the evaluation of cervical cancer pathotyping, differentiation, lymphnode metastasis and the efficacy of radiotherapy and chemotherapy, each with its unique characteristics. Although research on these five models in cervical cancer is increasing, there is currently no systematic review of their applications and comparisons in cervical cancer evaluation. Therefore, this article will review the above five non-Gaussian diffusion models and their applications in cervical cancer, in hopes of providing references for clinical diagnosis and treatment.
[Keywords] non-Gaussian diffusion model；diffusion-weighted imaging；magnetic resonance imaging；cervical cancer；treatment response prediction

WANG Sisi   ZHANG Ya   CUN Hongli   ZHANG Lan   ZHANG Huimei   CHEN Jie   AI Conghui*  

Department of Radiology, Yunnan Cancer Hospital, Kunming 650118, China

Corresponding author: AI C H, E-mail: 656781921@qq.com

Conflicts of interest   None.

Received  2024-12-11
Accepted  2025-03-10
DOI: 10.12015/issn.1674-8034.2025.04.033
Cite this article as: WANG S S, ZHANG Y, CUN H L, et al. Advances in non-Gaussian diffusion models for cervical cancer[J]. Chin J Magn Reson Imaging, 2025, 16(4): 202-207. DOI:10.12015/issn.1674-8034.2025.04.033.

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