Figure 3.

Receiver-operating characteristic curves of the best performing pRNFL and macular parameters for the discrimination between glaucoma and healthy. The receiver-operating characteristic (ROC) curves in the univariate logistic regression for glaucoma identification of the best performing pRNFL (inferior quadrant) and macular (outer-inferior (I2) subfield of the ganglion cell layer (GCL)) areas are shown in (a,b), respectively. The ROC curves of the multivariate logistic regression of all pRNFL sectors or combining the mean thickness of the inferior and superior subfields of the mRNFL (macular retinal nerve fibre layer), GCL, and inner plexiform layer (IPL) are shown in (c,d), respectively. The AUC (area under the ROC curve) values are presented in the lower-right corner of each graph.