Abstract
Purpose :
This study aims to develop and evaluate a low-cost, Smartphone-based Automated Perimetry (SAP) for glaucoma diagnosis and self-monitoring at home. By addressing the limitations of existing VR-based systems, SAP promises a more accessible and efficient approach to visual field testing.
Methods :
Utilizing the Unity 3D framework, we created a mobile app (in both Android and IOS) to present stimuli and record responses via a Bluetooth clicker. The test, emulating the standard Humphrey Field Analyzer (HVF) protocol, was administered to patients at the University of South Florida Eye Clinic. The results from SAP were compared with those from the standard HVF, graded by a board-certified ophthalmologist.
Results :
Among 96 eyes from 50 patients, SAP's performance was benchmarked against the HVF. Sensitivity was found to be 0.96, with a specificity of 0.55. The lower specificity, attributed to a high false-positive rate, indicates a need for improved patient instruction. Most patients (64%) found M-SAP easier to use than the HVF.
Conclusions :
SAP demonstrates high sensitivity in visual field testing, comparable to HVF. Its lower specificity points to a need for enhanced patient guidance and software refinement. The cost efficiency, ease of use, and potential for wider accessibility make SAP a promising tool in glaucoma management for home-based diagnosis and progression.
This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.