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Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging

Xiaoguang Li, Yongshan Zhu, Houyi Kang, Yulong Zhang, Huaping Liang, Sumei Wang et al. · 2015 · 135 citationsRead the paper

BACKGROUND: Dynamic contrast-enhanced MRI (DCE-MRI) estimates vascular permeability of brain tumors, and susceptibility-weighted imaging (SWI) may demonstrate tumor vascularity by intratumoral susceptibility signals (ITSS). This study assessed volume transfer constant (Ktrans) accuracy, the volume of extravascular extracellular space (EES) per unit volume of tissue (Ve) derived from DCE-MRI, and the degree of ITSS in glioma grading. METHODS: Thirty-two patients with different glioma grades were enrolled in this retrospective study. Patients underwent DCE-MRI and non-contrast enhanced SWI by three-tesla scanning. Ktrans values, Ve, and the degree of ITSS in glioma were compared. Receiver operating characteristic (ROC) curve analysis determined diagnostic performances of Ktrans and Ve in glioma grading, and Spearman's correlation analysis determined the associations between Ktrans, Ve, ITSS, and tumor grade. RESULTS: Ktrans and Ve values were significantly different between low grade gliomas (LGGs) and both high grade gliomas (HGGs) and grade II, III and IV gliomas (P<0.01). The degree of ITSS of LGGs was lower than HGGs (P<0.01), and the ITSS of grade II gliomas was lower than grade III or IV gliomas. Ktrans and Ve were correlated with glioma grade (P<0.01), while ITSS was moderately correlated (P<0.01). Ktrans values were moderately correlated with ITSS in the same segments (P<0.01). CONCLUSION: Ktrans and Ve values, and ITSS helped distinguish the differences between LGGs and HGGs and between grade II, III and IV gliomas. There was a moderate correlation between Ktrans and ITSS in the same tumor segments.

What the full text shows

Shown in the lab
  • Ktrans and Ve values are significantly higher in high-grade gliomas (HGGs) compared to low-grade gliomas (LGGs). — P < 0.01 (32 patients with various glioma grades)
  • Ktrans cut-off value for differentiating LGGs from HGGs provides high diagnostic accuracy. — Sensitivity 94.1%, Specificity 93.3%, AUC 0.941 at cut-off 0.054 min-1 (LGG vs HGG differentiation)
  • Ve cut-off value for differentiating LGGs from HGGs provides high diagnostic accuracy. — Sensitivity 92.9%, Specificity 91.7%, AUC 0.937 at cut-off 0.296 (LGG vs HGG differentiation)
  • Ktrans is strongly correlated with glioma grade. — r = 0.782, P < 0.01 (Across glioma grades)
  • ITSS degree is significantly lower in LGGs than in HGGs. — P < 0.01 (LGG vs HGG comparison)
  • Ktrans values are strongly correlated with vessel diameter (VD) but only moderately with microvessel density (MVD). — r = 0.692 (VD), r = 0.474 (MVD), P < 0.01 (Comparison with immunohistochemical staining)
Setup
32 patients (15 LGG, 17 HGG) aged 12-69 years; 3.0 T MR system with 8-element head matrix coil.
How
Retrospective study using 3.0T MRI to calculate Ktrans and Ve via DCE-MRI (two-compartment pharmacokinetic model) and semi-quantitative grading of ITSS via SWI. Results were validated against histopathological MVD and VD measurements from surgical specimens.
Limitations
Small sample size (32 patients) · Retrospective study design · No statistical difference in Ktrans or Ve between grade III and grade IV gliomas

Summarized by Gemma 4 from the open-access full text · 13 Oct 2026. Read it