Diagnostic Ability of Automated Pupillography in Glaucoma.

PURPOSE

To evaluate the diagnostic ability of automated pupillography measurements in glaucoma and study the effect of inter-eye asymmetry in glaucomatous damage on the diagnostic ability.

METHODS

In an observational, cross-sectional study, 47 glaucoma patients and 42 control subjects underwent automated pupillography using a commercially available device. Diagnostic abilities of the pupillary response measurements were evaluated using area under receiver operating characteristic (ROC) curves (AUC) and sensitivities at fixed specificities. Influence of inter-eye asymmetry in glaucoma [inter-eye mean deviation (MD) difference on visual fields (VF)] on the diagnostic ability of pupillography parameters was evaluated by ROC regression approach.

RESULTS

The AUCs of automated pupillography parameters ranged from 0.60 (amplitude score with peripheral blue stimulus) to 0.82 (amplitude score with full field white stimulus, Amp-FF-W). Sensitivity at 95% specificity ranged between 5% (amplitude score with full field blue stimulus) and 45% (amplitude score with full field green stimulus). Inter-eye MD difference significantly affected the diagnostic performance of automated pupillography parameters (p < 0.05). AUCs of Amp-FF-W at inter-eye MD difference of 0 dB, 5 dB, 10 dB and 15 dB were 0.71, 0.80, 0.87 and 0.93, respectively, according to the regression model. The corresponding sensitivities at 95% specificity were 20%, 34%, 50% and 66%, respectively.

CONCLUSIONS

The diagnostic abilities of even the best automated pupillography parameters were only moderate in glaucoma. The performance of these pupillography measurements in detecting glaucoma significantly increased with greater inter-eye asymmetry in the glaucomatous damage.