Visualization of retinal breaks on ultra-widefield fundus imaging using a digital green filter

Purpose We compare the ability of resident physicians to identify retinal breaks on ultra-widefield color fundus photos using the traditional image compared to an image with a green filter overlay. Methods Residents were shown fundus photos of 10 eyes with either a retinal tear or hole. Participants...

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Bibliographic Details
Published in:Graefe's archive for clinical and experimental ophthalmology 2023-04, Vol.261 (4), p.935-940
Main Authors: Moon, Jade Y., Wai, Karen M., Patel, Neal S., Katz, Raviv, Dahrouj, Mohammad, Miller, John B.
Format: Article
Language:English
Subjects:
Archives & records
Color vision
Cross-sectional studies
Fluorescein Angiography - methods
Fundus Oculi
Humans
Lasers
Medicine
Medicine & Public Health
Ophthalmology
Retina
Retinal Disorders
Retinal Perforations - diagnosis
Telemedicine
Tomography, Optical Coherence - methods
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Summary:Purpose We compare the ability of resident physicians to identify retinal breaks on ultra-widefield color fundus photos using the traditional image compared to an image with a green filter overlay. Methods Residents were shown fundus photos of 10 eyes with either a retinal tear or hole. Participants were shown each photo twice—once with traditional color settings and once with a green filter overlay. Participants were scored on whether the break was correctly identified and timed on how long it took to identify the pathology. Results Residents were able to correctly identify more retinal breaks on fundus photos with a green filter overlay compared to photos with traditional settings ( P  = 0.02). Residents were also able to identify breaks on fundus photos more quickly on images with a green filter overlay compared to the traditional images ( P  
ISSN:0721-832X
1435-702X
DOI:10.1007/s00417-022-05855-8