ArticleFrontiers in oncology2026
Vascular habitat analysis using dynamic susceptibility contrast-enhanced perfusion MRI for differentiating glioblastoma from solitary brain metastases.
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To investigate tumor vascular habitat parameters based on dynamic susceptibility contrast-enhanced perfusion-weighted imaging (DSC-PWI) for differentiating glioblastoma (GBM) from solitary brain metastasis (SBM). Methods: In this single-center retrospective study, imaging data from 141 patients with pathologically or clinically confirmed malignant brain tumors (74 GBM, 67 SBM) were analyzed. The hemodynamic tissue signature (HTS) method was used to segment the lesions and construct four tumor vascular habitats: high angiogenic tumor (HAT), low angiogenic tumor (LAT), potentially infiltrated peripheral edema (IPE), and vasogenic peripheral edema (VPE). Pearson correlation analysis was used to quantify the correlations among habitat hemodynamic parameters. Habitat characteristic parameters were calculated, and ROC were plotted to evaluate the diagnostic performance. A nomogram model was constructed using logistic regression. Results: GBM exhibited significantly higher median relative cerebral blood volume (rCBV Conclusion: Tumor vascular habitat parameters based on DSC-PWI demonstrate significant differences between newly diagnosed GBM and SBM, and the nomogram shows certain value in differentiating between the two tumor types.
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