Diagnostic Ability of Automated Pupillography in Glaucoma. (4th May 2017)

• Record Type: Journal Article
• Authors: Rao, Harsha L.; Kadambi, Sujatha V.; Mehta, Pooja; Dasari, Srilakshmi; Puttaiah, Narendra K.; Pradhan, Zia S.; Rao, Dhanraj A. S.; Shetty, Rohit
• Is Part Of: Current eye research. Volume 42:Number 5(2017)
• Page Start: 743
• Page End: 747
• Publication Date: 2017-05-04
• Subjects: Automated pupillography -- diagnostic ability -- glaucoma; Ophthalmology -- Periodicals; Eye -- Diseases -- Periodicals; Ophthalmology -- Periodicals; 573.88
• DOI: 10.1080/02713683.2016.1238944
• Languages: English
• ISSNs: 0271-3683

Abstract

ABSTRACT: 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.