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Peter Corcoran, Richard Abelson, Keith Jeffrey Lane, Endri Angjeli, George W Ousler, Paul J Gomes; Evaluation of a Smart Phone-Based Ocular Imaging System for the Assessment of Conjunctival Hyperemia. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):3045.
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Conjunctival hyperemia can vary greatly based on the external environment, time of day, and intermittent nature of ocular surface diseases. In-office slit lamp examinations are the gold standard for evaluation of conjunctival hyperemia, but are infrequent snap shots that do not provide a global assessment of redness severity and duration, especially in the context of evaluating drug efficacy and duration of effect. We developed and tested a smart-phone based image capture system that the subject can carry out independently to capture conjunctival redness away from the clinician’s office.
An ocular imaging device and instructional software application were developed for a Samsung Galaxy S5 smart phone. Twenty images from 10 eyes were evaluated in this proof-of-concept study. Healthy volunteers self-captured images of both eyes using the smart phone system. A trained clinician then graded the severity of ocular hyperemia (0-4 scale) in these subjects at the slit lamp. All images were graded manually by trained investigators, and automatically, using a validated automated computer program1. Pearson’s Correlations were calculated between live grading and images graded by the clinician, and between live grading and images graded automatically.
Previous results1 demonstrated that inter-investigator correlations of manual image grading varied between 0.68<r<0.83 (mean r=0.77; N=99 images). In this study, correlation between live grading at the slit lamp and manual image grading was r=0.76. Correlation between live grading and automatic grading of images was r=0.65.<br /> <br /> 1 Rodriguez JD, Johnston PR, Ousler GW, Smith LM, Abelson MB. Automated grading system for evaluation of ocular redness associated with dry eye Clinical Ophthalmology 2013:7 1-8.
These results indicate that a smart phone-based imaging system, with subsequent automated or clinical grading of redness, correlates well to live-doctor assessments. This novel device provides subject-captured data as yet never collected in real-time environmental assessments of conjunctival hyperemia, and such a tool might prove valuable in the evaluation of drugs that modify redness, or as an adjunct to cell-phone based clinical trial diary platforms.
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