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Updated: Jan 17, 2026

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
Apparent diffusion coefficient predicts MGMT status in adult-type diffuse gliomas and is correlated with Ki-67
Feng-Ying Zhu1, Li-Yong Zhuo1, Tian-Da Wang1
1Department of Radiology, Affiliated Hospital of Hebei University, Baoding, China.
Purpose:
To evaluate the predictive value of apparent diffusion coefficient (ADC) for O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation and its correlation with Ki-67 proliferation index in adult-type diffuse glioma, stratified by isocitrate dehydrogenase (IDH) subtype.
Methods:
This retrospective study enrolled 94 patients with pathologically confirmed glioma (2017-2024). ADCmin, ADCmean, and relative ADC (rADC) values were derived from diffusion-weighted imaging (b=1000 s/mm²). MGMT methylation, IDH mutation, and Ki-67 index were assessed by Pyrosequencing and immunohistochemistry. Receiver operating curve analysis was performed to evaluate diagnostic performance, and Spearman correlation was used to link ADC with Ki-67 index.
Results:
MGMT-methylated gliomas exhibited significantly higher ADCmin (0.86 vs. 0.74 × 10-³mm²/s, p = 0.013) and rADCmin (1.12 vs. 0.95, p<0.001). In the IDH-wild-type subgroup, rADCmin achieved an AUC of 0.78 (cutoff=1.10, sensitivity=80.0%). All ADC parameters were negatively correlated with Ki-67 (ρ=- 0.32 to -0.24, p<0.05).
Conclusion:
ADC values, particularly rADCmin, were identified as non-invasive biomarkers for MGMT methylation prediction in IDH-wild-type gliomas. An inverse correlation between ADC and Ki-67 index supported their utility for assessing tumor proliferation. Standardizing rADC would improve its clinical applicability across imaging platforms.
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