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Updated: Mar 10, 2026
Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
The evaluation value of multiparametric imaging technology (MULTIPLEX) for grading and molecular subtyping of diffuse
1Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, 518116, Shenzhen, China.
Aim:
To evaluate the value of MULTIPLEX, a single-scan three-dimensional multiparametric magnetic resonance imaging (MRI) quantitative technique providing T1, T2∗, proton density (PD), and quantitative susceptibility mapping (QSM) maps, in grading gliomas and assessing molecular subtypes.
Materials And Methods:
We recruited 72 diffuse glioma patients who underwent conventional MRI and MULTIPLEX acquisition. Image preprocessing and automatic segmentation were applied to conventional structural data. The tumour region was automatically segmented into contrast-enhancing tumour, oedematous, and necrotic volumes. Distribution metrics (mean, standard deviation, skewness, and kurtosis) were extracted from quantitative maps (T1, T2∗, PD, and QSM) for each tumour region of interest (ROI) using histogram analysis. A total of 48 parameters representing the quantitative properties of tumour-related regions were obtained. The Mann-Whitney test was performed for each quantitative parameter between different tumour grades and molecular subtypes.
Results:
Low-grade, isocitrate dehydrogenase (IDH) mutant, oxygen6-methylguanine-DNA methyltransferase (MGMT) methylated, and epidermal growth factor receptor (EGFR) nonamplifying gliomas had significantly higher average T2∗ values in necrotic or enhanced areas than grade 4, IDH-wildtype, MGMT non-methylated, and EGFR extended gliomas. The skewness of T1 values and the standard deviation of QSM values in the necrotic area of low-grade tumours were significantly lower than those in grade 4 gliomas. There were significant differences in the skewness of oedema QSM values and the standard deviation of enhanced tumour PD between 1p/19q codeficient and non-co-deficient gliomas.
Conclusion:
MULTIPLEX can be used for comprehensive quantitative assessment of glioma-related regions captured in T1, T2∗, PD, and QSM parameters, especially T2∗ and QSM, which exhibit considerable promise in grading and molecular subtype assessment of diffuse gliomas.
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