The receiver operating characteristic regression model was applied to explain the factors affecting the glaucoma diagnostic ability of each parameter, such as age, sex, refractive error, visual-field mean deviation, presence of externally oblique BT, and the circumpapillary RNFL measurement method (i.e., RNFL
Di versus RNFL
BMO1). The regression model revealed that the use of RNFL
BMO1 had a marginally significant influence on a larger AUC in global (
P = 0.066) and N-sector (
P = 0.059) RNFL thickness measurements, and a significant effect on the larger AUC in NS-sector RNFL thickness measurement (
P = 0.035).
Figure 7 shows the ROC curves for the global RNFL
Di and RNFL
BMO measurements, and those in the N and NS sectors, as calculated from the regression model.
Figure 8 shows the ROC curves for global RNFL
Di and RNFL
BMO1 for arbitrary values of externally oblique BT width (
Figs. 8A–C), and visual field mean deviation (
Figs. 8D–F), according to the regression model. The area under the curve was larger when using the global RNFL
BMO1 than the global RNFL
Di for a larger externally oblique BT width (
Figs. 8A–C). There was no difference in the AUCs between global RNFL
Di and RNFL
BMO1 according to the differed disease severity (
Figs. 8D–F).
Figure 9 shows the sensitivities at fixed specificities of 80% for the RNFL
Di and RNFL
BMO, throughout the range of the width of the externally oblique BT calculated based on the regression model. The sensitivity of the RNFL
BMO increased as the externally oblique BT width increased, while that of the RNFL
Di decreased.