Diagnosing Metabolic-Associated Fatty Liver Disease in Experimental Rats Using Various Diffusion-Weighted MRI Models
Motivation: The increasing prevalence of metabolic-associated steatohepatitis (MASH) requires improved diagnostic tools to noninvasively detect disease severity and progression. Goal(s): To evaluate the feasibility and performance of six diffusion-weighted imaging (DWI) models in distinguishing MASH from other liver conditions in experimental rats. Approach: Using multi-b-value diffusion-weighted MRI, diffusion parameters were explored across control, metabolic dysfunction-associated fatty liver disease (MAFLD), and MASH groups. Correlations with MAFLD/NAFLD activity scores and diagnostic accuracy were assessed via receiver operating characteristic curve analysis. Results: Key diffusion parameters showed significant differences among groups and strong correlations with disease severity scores, outperforming conventional DWI in distinguishing MASH. Impact: This research highlights the enhanced diagnostic precision of diffusion-weighted MRI for MASH, exceeding the precision of conventional methods. These findings provide a basis for studies regarding early intervention strategies and may lead to refined diagnostic protocols for liver disease severity.
Authors
- Shuangshuang Xie (ORCID: https://orcid.org/0000-0003-0484-6516)
- Omar Darwish (ORCID: https://orcid.org/0000-0003-4747-9007)
- Jiaqi Yang (ORCID: https://orcid.org/0000-0003-4083-4993)
- Jiaming Qin
- Wen Shen (ORCID: https://orcid.org/0000-0002-0356-7120)
- Yutong Zhang
- Jinxia Zhu
- Xuyang Wang (ORCID: https://orcid.org/0000-0002-5506-3813)
- Xinzhe Du
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/1811
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00