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Abigail Kaye, Bernhard Steger, Matthias Brunner, Colin E Willoughby, Yalin Zeng, Vito Romano; Grading of ocular surface inflammation using anterior segment angiography: pixel densitometry index. Invest. Ophthalmol. Vis. Sci. 2017;58(8):3534.
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Clinical grading of ocular surface inflammation is crucial for disease monitoring. Commonly used grading systems exhibit considerable inter- and intra-observer variability, demonstrating the need for an improved grading method. Our studies aim to investigate the grading of ocular surface hyperemia using white pixel densitometry of angiographic images.
Design: Prospective cross sectional studySetting: Academic tertiary care referral centerParticipants: The study group comprised patients with ocular surface inflammation resulting from conjunctivitis and or keratitis. The control group included patients with no history of ocular surface disease.Interventions: Color photography and indocyanine green angiography (ICGA) of the ocular surface were performed on each patient. Single images were taken up to 3 minutes before and 10 minutes after instillation of phenylephrine hydrochloride 2.5% eye drops.Main Outcome and Measures: Pixel densitometry index (PDI)
Fourteen eyes of 14 patients were recruited in the study group and eleven eyes of 11 patients in the control group. In the study group the mean patient age at presentation was 40.7 ± 16.9 years, in the control group 45.1 ± 18.3 years. The PDI before and after instillation of phenylephrine hydrochloride 2.5% eye drops was 71.1 ±8.1 and 46.1 ± 7.2 respectively (p = 0.03). In the control group, the PDI before and after instillation of phenylephrine hydrochloride 2.5% eye drops was 57.3 ±21.9 and 43.2 ± 15.8 respectively(p = 0.1). The mean visual acuity was 0.30 ± 0.33 logMAR in the study group and it was 0.1 ± 0.18 logMAR in the control group. No patients had any adverse events during angiography.
The PDI obtained from anterior segment angiographic images is a useful tool to grade and follow ocular surface inflammation.
This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.
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