Fig. 4
From: Multi-modal imaging of tumor cellularity and Tryptophan metabolism in human Gliomas
ROC curves (blue: measured, red: fitted) obtained from FLAIR-based tumor regions (a) and high AMT-SUV tumor regions (b) in order to differentiate grade IV gliomas from grade II gliomas using DWI-ADC and IDSI-cellularity. In each curve, true positive rate (y-axis) was estimated using non-linear least square fit of the false positive rate (x-axis) using the equation of y = 1 − 1/(1 + (x/a)b)c where a, b and c are the model coefficients. For the comparison, the area under curve (AUC) was finally calculated from the fitted curve