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. 2023 Aug 5;13(15):2604. doi: 10.3390/diagnostics13152604

Table 2.

Performance in glioma grading based on 2021 WHO classification.

Parameters AUC 95% CI p-Value *
Dynamic
TAC 0.80 0.69–0.91 NA
Conventional static
SUVmax 0.58 0.42–0.74 0.010
SUVmean 0.54 0.38–0.70 0.0052
TBRmax 0.56 0.39–0.73 0.0045
TBRmean 0.56 0.40–0.73 0.0071
TLG 0.57 0.40–0.74 0.0078
Texture features
GLCM Homogeneity 0.41 0.24–0.58 0.0003
GLCM Energy 0.44 0.26–0.62 0.0024
GLCM Contrast 0.60 0.43–0.76 0.037
GLCM Correlation 0.39 0.21–0.58 <0.0001
GLCM Entropy 0.55 0.37–0.73 0.012
GLCM Dissimilarity 0.60 0.43–0.77 0.046
NGLDM Coarseness 0.73 0.57–0.89 0.54
NGLDM Contrast 0.66 0.49–0.83 0.22
NGLDM Busyness 0.40 0.22–0.58 0.0002
Indices from shape
Sphericity 0.63 0.46–0.80 0.11
Surface 0.41 0.22–0.60 0.0001
Compacity 0.51 0.30–0.71 0.0034
Volume 0.55 0.37–0.72 0.0044
First-order features from Histogram
Skewness 0.40 0.24–0.55 0.0001
Kurtosis 0.39 0.23–0.54 0.0001

AUC, area under the curve from receiver operating characteristics; 95% CI, 95% confidence interval; TAC, time–activity curve; SUV, standardized uptake value; TBR, tumor-to-background ratio; TLG, total lesion glycolysis; GLCM, grey-level co-occurrence matrix; NGLDM, neighboring gray-level dependence matrix. Test for grade 2 (n = 20) versus grade 3–4 (n = 41). * p-value in comparison to TAC type. ROC comparison did not find significant differences between TAC, NGLDM contrast, NGLDM coarseness and sphericity (p > 0.05) but TAC had better performance than all the others parameters (p < 0.046).