Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
367-02-008 ISMRM Abstract

The role and pathological analysis of DWI combined with CEST-MRI in the glioma zoning of rats

Primary: Neuro - Tumors
Secondary: Preclinical Animal & in vitro MR - Small Animals
367-02-008 · Cancer Detection and Therapies · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row H
Keywords: Glioma Microglia Multiparametric magnetic resonance imaging Rat Tumour zoning
Accepted
Xiaoli Wang1,2, Yuxue Luan1, Zhen Shen3, Haimo Zhang1,4, Xiaozu Zhang1, Miao Yu1, Yu Han2, Peng Wu 5, Xizhen Wang2
1School of Medical Imaging, Shandong Second Medical University, Weifang, China
2Medical Imaging Center, Affiliated Hospital of Shandong Second Medical University, Weifang, China
3Affiliated Hospital of Shandong Second Medical University, Weifang, China
4Department of Medical Laboratory Animal Center, Shandong Second Medical University, Weifang, China
5Clinical & Technical Support, Philips Healthcare, Guangzhou, China
Presenting Author: Peng Wu

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References

1. Surov A, Borggrefe J, Hohn AK, et al. Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer[J]. Cancer Imaging. 2024;24(1):170.DOI: 10.1186/s40644-024-00814-4. [doi]
2. Lee CY, Bennett KM, Debbins JP, et al. The relationship between diffusion heterogeneity and microstructural changes in high-grade gliomas using Monte Carlo simulations[J]. Magn Reson Imaging. 2022;85:108-120.DOI: 10.1016/j.mri.2021.10.001. [doi]
3. Essed RA, Prysiazhniuk Y, Wamelink IJ, et al. Performance of amide proton transfer imaging to differentiate true progression from therapy-related changes in gliomas and metastases[J]. Eur Radiol. 2025;35(2):580-591.DOI: 10.1007/s00330-024-11004-y. [doi]
4. Someya Y, Iima M, Imai H, et al. Investigation of breast cancer microstructure and microvasculature from time-dependent DWI and CEST in correlation with histological biomarkers. Sci Rep. 2022;12(1):6523. Published 2022 Apr 20. DOI:10.1038/s41598-022-10081-7 [doi]
5. De Boeck A, Ahn BY, D'Mello C, et al. Glioma-derived IL-33 orchestrates an inflammatory brain tumor microenvironment that accelerates glioma progression[J]. Nat Commun. 2020;11(1):4997.DOI: 10.1038/s41467-020-18569-4. [doi]
6. Lee EJ, terBrugge K, Mikulis D, et al. Diagnostic value of peritumoral minimum apparent diffusion coefficient for differentiation of glioblastoma multiforme from solitary metastatic lesions. AJR Am J Roentgenol. 2011;196(1):71-76. DOI:10.2214/AJR.10.4752 [doi]
7. Martín-Noguerol T, Mohan S, Santos-Armentia E, et al. Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions[J]. Eur J Radiol. 2021;143:109900.DOI: 10.1016/j.ejrad.2021.109900 [doi]
8. Wang K, Ha T, Chen X, et al. A combined diffusion tensor imaging and Ki-67 labeling index study for evaluating the extent of tumor infiltration using the F98 rat glioma model[J]. J Neurooncol. 2018;137(2):259-268. DOI:10.1007/s11060-017-2734-z [doi]
9. Salas-Gallardo GA, Lorea-Hernandez JJ, Robles-Gomez AA, et al. Morphological differentiation of peritumoral brain zone microglia[J]. PLoS One. 2024;19(3):e0297576.DOI: 10.1371/journal.pone.0297576. [doi]

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http://echo.ismrm.org/p/ISMRM2026/367-02-008