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Updated: Nov 10, 2025

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
Published on: January 9, 2019
Evaluation of gliomas peritumoral diffusion and prediction of IDH1 mutation by IVIM-DWI
Taifu Gu1, Ting Yang2, Jianglong Huang1
1Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
Abstract:
Glioma characterized by high morbidity and mortality, is one of the most common brain tumors. The application of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) in differentiating glioma grading and IDH1 mutation status were poorly investigated. 78 glioma patients confirmed by pathological and imaging methods were enrolled. Glioma patients were measured using IVIM-DWI, then related parameters such as cerebral blood flow (CBF), perfusion fraction (f), pseudo diffusivity (D*), and true diffusivity (D), were derived. Receiver operating characteristic (ROC) curves were made to calculate specificity and sensitivity. The values of CBF1, CBF3, D*1, rCBF1-2, rCBF3-2, and age in group high-grade gliomas (HGG) were significantly higher than that of in group low-grade gliomas (LGG). The values of CBF1, CBF3, rCBF1-2, rCBF3-2, D*1, and age in group IDH1 were significantly lower than that of in group IDH1. The levels of D1 and f1 were remarkably higher in the group IDH1 than group IDH1. rCBF1-2 had a remarkably positive correlation with CBF1 (r=0.852, p<0.001). f1 showed a markedly negative correlation with CBF1 (r= -0.306, p=0.007). IVIM-DWI presented efficacy in differentiating glioma grading and IDH1 mutation status.
Insights
Intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) effectively differentiates glioma grading and IDH1 mutation status. This advanced imaging technique provides crucial insights for diagnosing brain tumors.
Area of Science:
- Neuroimaging
- Oncology
- Radiology
Background:
- Gliomas are common brain tumors with high mortality.
- Accurate grading and IDH1 mutation status are critical for glioma management.
- The role of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) in glioma assessment is not well-established.
Purpose of the Study:
- To investigate the efficacy of IVIM-DWI in differentiating glioma grading.
- To assess the utility of IVIM-DWI in determining IDH1 mutation status in glioma patients.
Main Methods:
- Seventy-eight glioma patients underwent IVIM-DWI.
- Key parameters including cerebral blood flow (CBF), perfusion fraction (f), pseudo diffusivity (D*), and true diffusivity (D) were derived.
- Receiver operating characteristic (ROC) curves were used to evaluate diagnostic performance.
Main Results:
- High-grade gliomas (HGG) showed significantly higher CBF, D*, and age compared to low-grade gliomas (LGG).
- IDH1 wild-type gliomas exhibited higher CBF, D*, and age than IDH1 mutant gliomas.
- The parameter f1 was significantly higher in IDH1 mutant gliomas.
- Strong correlations were observed between rCBF1-2 and CBF1, and a negative correlation between f1 and CBF1.
Conclusions:
- IVIM-DWI is a promising imaging technique for differentiating glioma grade.
- IVIM-DWI can effectively distinguish between IDH1 wild-type and mutant gliomas.
- This method offers valuable, non-invasive insights into glioma biology and progression.

