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. 2015 Sep 18;10(9):e0138573. doi: 10.1371/journal.pone.0138573

Table 2. Parameters with the highest diagnostic prediction in tumor parenchyma (TP) and peritumoral area (PT) for distinction of a pair of brain tumors according to ROC analysis.

Comparison group ROI Position Most powerful parameter AUC Sensitivity Specificity Cut-off value
HGG & vs LGG $ TP Ve 0.79 0.76 0.79 0.154 *
PT K trans 0.64 0.52 0.80 0.031min -1 *
HGG & vs PCNSL $ TP Ve 0.64 0.53 0.79 0.389 #
PT K trans 0.68 0.78 0.60 0.0145min -1 *
HGG & vs Metastases $ TP iAUC 0.80 0.84 0.69 10.363 #
PT ADC 0.70 0.96 0.47 1357.4 #
Menigioma & vs LGG $ TP Ve 0.97 0.98 0.89 0.264 *
PT ADC 0.65 0.67 0.70 1178.8 #
PCNSL & vs LGG $ TP Kep 0.87 0.76 0.77 0.818min -1 *
PT ADC 0.65 0.63 0.69 1459.0×103mm 2 /s #
Metastases & vs LGG $ TP Ve 0.93 0.82 1.00 0.196 *
PT ADC 0.80 0.88 0.69 1471.6×103mm 2 /s #
PCNSL & vs. Metastases $ TP No - - - -
PT No - - - -

LGG: Low grade gliomas; HGG: High grade gliomas; PCNSL: primary central nervous system lymphoma

&: The first tumor group.

$: Comparative tumor group.

*: If the parameter’s value is higher than the cut-off point, the tumor is more likely to be the tumor type in the first tumor group.

#: If the parameter’s value is higher than the cut-off point, the tumor is more likely to be the tumor type belongs to the comparative tumor group.