Figure 5.

A–G, Adjusted r² values of the optimal models to predict total deviation (TD) values at each of the 52 visual field locations, using (A) optic nerve head (ONH) summary parameters, (B) clock-hour retinal nerve fiber layer thicknesses (RNFLTs), (C) the ONH and retinal nerve fiber layer (RNFL) surface shape patterns, (D) ONH summary parameters and ONH and RNFL surface shape patterns, (E) clock-hour RNFLTs and ONH and RNFL surface shape patterns, (F) ONH summary parameters and clock-hour RNFLTs, and (G) ONH summary parameters, clock-hour RNFLTs, and ONH and RNFL surface shape patterns. The best model for predicting TD values was the model using the ONH parameters, RNFLT, and ONH and RNFL surface shape patterns with adjusted r² values ranging from 0.15 to 0.38. Hand I, Improvement in adjusted r² value and BIC statistic decrease by using the optimal models additionally using ONH and RNFL surface shape patterns, compared with the optimal models using ONH summary parameters and clock-hour RNFLTs only. BIC = Bayesian information criterion.