Abstract
Purpose :
Visual field (VF) testing is a vital investigation in the detection and monitoring of VF defects. The Humphrey Visual Field (HVF) test is commonly used in clinical settings. Yet, there is a need for the development of validated home- and community-based perimetry testing. This study compares the efficacy of a web-based VF assessment tool (“PocDoc”) to conventional HVF in patients visiting a tertiary referral ophthalmology center.
Methods :
This prospective observational study included 107 eyes from 82 participants, recruited from glaucoma, cataract and retina clinics, with a mean age of 60.9±13.4 years. Of the 107 eyes, 75 eyes from 61 subjects were glaucomatous with a mean MD of -6.85±6.40 dB. Based on the Glaucoma Staging System 2, 38 eyes had early glaucoma, 19 moderate glaucoma, 10 advanced glaucoma and 5 severe glaucoma, with the final 3 eyes having a positive MD. Standard 24-2 HVF and PocDoc VF tests were conducted consecutively for all subjects. PocDoc’s accuracy in detecting VF defects was calculated. Correlations between both tests, for entire VFs and individual VF quadrants, were evaluated using Spearman’s rank correlation coefficient.
Results :
Compared to HVF testing, PocDoc had an overall accuracy of 85.1%, with a sensitivity of 94.7%, specificity of 15.4%, positive predictive value of 89.0% and negative predictive value of 28.6%. Individual VF quadrants had similar sensitivity outcomes, but with poorer specificity. PocDoc demonstrated moderate correlation to HVF testing in identifying defects in the entire VF (r=0.504), as well as for the superonasal (r=0.551) and inferonasal quadrants (r=0.443), but showed poorer correlation for the superotemporal (r=0.357) and inferotemporal quadrants (r=0.362).
Conclusions :
PocDoc is a novel home and web-based perimetry assessment tool which demonstrates good sensitivity in the detection of VF defects, exhibiting moderate correlation with HVF testing in identifying defects in the superonasal and inferonasal quadrants of the VF.
This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.