Journal
ACADEMIC RADIOLOGY
Volume 26, Issue 11, Pages 1466-1472Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.acra.2019.01.010
Keywords
Glioblastoma; Metastasis; Diffusion magnetic resonance imaging; Texture analysis
Funding
- National Key Research and Development Program of China [2017YFC130910002]
- National Natural Scientific Foundation of China [81601469, 81871846, 81771912, 81671854]
- Science and Technology Planning Project of Guangzhou [201804010032]
- Science and Technology Planning Project of Guangdong Province, China [2014A020212341]
- China Scholarship Council [201808440033]
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Rationale and Objectives: To explore the value of texture analysis based on the apparent diffusion coefficient (ADC) value and the effect of region of interest (ROI) placements in distinguishing glioblastoma multiforme (GBM) from solitary brain metastasis (sMET). Materials and Methods: Sixty-two patients with pathologically confirmed GBM (n = 36) and sMET (n = 26) were retrospectively included. All patients underwent diffusion-weighted imaging with b values of 0 and 1000 s/mm(2), and the ADC maps were generated automatically. ROIs were placed on the largest whole single-slice tumor (ROI1) and the enhanced solid portion (ROI2) of the ADC maps, respectively. The texture feature metrics of the histogram and gray-level co-occurrence matrix were then extracted by using in-house software. The parameters of the texture analysis were compared between GBM and sMET, using the Mann-Whitney U test. A receiver operating characteristic (ROC) curve analysis was performed to determine the best parameters for distinguishing between GBM from sMET. Results: Homogeneity and the inverse difference moment (IDM) of GBM were significantly higher than those of sMET in both ROls (ROl1, p = 0.014 for homogeneity and p = 0.048 for IDM; ROI2, p < 0.001 for homogeneity and p = 0.029 for IDM). According to the ROC curve analysis, the area under the ROC curve (AUC) of homogeneity in ROI1 (AUC, 0.682, sensitivity, 72.2%, specificity, 61.5%) was significantly lower than that of ROI2 (AUC, 0.886, sensitivity, 83.3%, specificity, 76.9%; p = 0.012), whereas the IDM showed no statistical significance between two ROIs (p > 0.05). Conclusion: The ADC-based texture analysis can help differentiate GBM from sMET, and the ROI on the solid portion would be recommended to calculate the ADC-based texture metrics.
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