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

Graefes Arch Clin Exp Ophthalmol. 2023 Apr;261(4):935-940. doi: 10.1007/s00417-022-05855-8. Epub 2022 Nov 9.

Abstract

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 < 0.001).

Conclusions: The application of a green filter overlay may help in identifying retinal breaks.

Keywords: Imaging; Medical education; Retina; Telemedicine.

MeSH terms

  • Fluorescein Angiography / methods
  • Fundus Oculi
  • Humans
  • Retinal Perforations* / diagnosis
  • Tomography, Optical Coherence / methods