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Outline
To investigate the value of tumor vascular habitat characteristic parameters constructed based on dynamic susceptibility contrast-enhanced perfusion-weighted imaging (DSC-PWI) in differentiating between newly diagnosed glioblastoma (GBM) and solitary brain metastasis (SBM).
A case-control study design was adopted to analyze the imaging data of 109 patients with malignant brain tumors (including 57 cases of GBM and 52 cases of SBM) confirmed by postoperative pathology or comprehensive clinical diagnosis retrospectively collected from Department of Radiology of Daping Hospital between January 2019 and March 2025. Based on DSC-PWI images, hemodynamic tissue signature (HTS) was used to segment the lesions and construct 4 tumor vascular habitats, that is, high angiogenic tumor (HAT), low angiogenic tumor (LAT), potentially infiltrated peripheral edema (IPE), and vasogenic peripheral edema (VPE). Volume parameters and blood flow parameters for each habitat region were calculated, including volume of each habitat region, tumor core volume, peritumoral edema volume, and relative cerebral blood volume (rCBV). Baseline data and habitat characteristic parameters were compared between the 2 groups. Receiver operating characteristic (ROC) curves were drawn to evaluate the differential diagnostic efficacy. Pearson correlation analysis was performed to assess the correlations among habitat characteristic parameters to quantify the spatial interactions between habitats.
In the GBM group, the median rCBV (rCBVmedian) at HAT, LAT, IPE, and VPE habitats were 6.143±1.687 (95%CI: 5.695~6.591), 3.249±0.988 (95%CI: 2.987~3.511), 1.913 (1.578, 2.588) (95%CI: 1.794~2.110) and 0.836 (0.676, 1.110) (95%CI: 0.710~0.949), respectively. These values were all significantly higher than the rCBVmedian at above habitats in the SBM group [4.634±1.647 (95%CI: 4.175~5.092), 2.255±0.807 (95%CI: 2.031~2.480), 1.291 (1.022, 1.767) (95%CI: 1.125~1.677), 0.600 (0.459, 0.742) (95%CI: 0.519~0.682); P<0.001]. ROC curve analysis showed that the rCBVmedian at LAT habitat had good diagnostic efficacy for differentiation, with an AUC value of 0.792 (95%CI: 0.704~0.864) (P<0.001). The optimal cutoff value of rCBVmedian at LAT habitat was 2.660 (sensitivity: 75.44%, specificity: 78.85%). The ratio of IPE volume to peritumoral volume (V(IPE)/V(P)) in the GBM group was 0.216 (0.101, 0.351) (95%CI: 0.165~0.267), notably higher than that in the SBM group [0.079 (0.055, 0.153) (95%CI: 0.066~0.102), P<0.001]. ROC curve analysis indicated that V(IPE)/V(P) ratio had good diagnostic efficacy, with an AUC value of 0.765 (95%CI: 0.674~0.840). The optimal cutoff value of the ratio was 0.122 (sensitivity: 71.93%, specificity: 73.08%). Pearson correlation analysis suggested that in the GBM group, the correlation coefficients between IPE-rCBVmedian and HAT-rCBVmedian, and between VPE-rCBVmedian and HAT-rCBVmedian were 0.620 (P<0.01) and 0.283 (P=0.033), respectively, indicating significant positive correlations.
DSC-PWI-based vascular habitat characteristic parameters show significant differences between newly diagnosed GBM and SBM. Both the volumetric parameter V(IPE)/V(P) ratio and the hemodynamic parameter LAT-rCBVmedian have good differential diagnostic efficacy, and can serve as imaging markers for distinguishing between GBM and SBM.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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