Literature DB >> 32091016

Classification of fundus autofluorescence abnormal patterns in diabetic macular edema.

Sergio Hernández-Da Mota1, Virgilio Lima-Gómez2, Ernesto Rodríguez-Ayala3, Jorge Jans Fromow-Guerra4, Enrique Alfonso Roig Melo-Granados5.   

Abstract

INTRODUCTION: Patients with diabetic macular edema can develop fundus autofluorescence alterations; thus far, these alterations have been more widely studied with scanning or confocal laser systems.
OBJECTIVE: To describe and classify fundus autofluorescence abnormal patterns in patients with diabetic macular edema using the fundus autofluorescence system with a flash camera.
METHOD: Observational, retrospective, cross-sectional, descriptive study. Fundus autofluorescence digital images of non-comparative cases with untreated diabetic macular edema, obtained and stored with a flash camera system, were assessed. Inter-observer variability was evaluated.
RESULTS: 37 eyes of 20 patients were included. Lens opacity was the most common cause of inadequate image quality. Five different fundus autofluorescence patterns were observed: decreased (13%), normal (40%), single-spot hyper-autofluorescent (17 %), multiple-spot hyper-autofluorescent (22 %) and plaque-like hyper-autofluorescent (8 %). The kappa coefficient was 0.906 (p = 0.000).
CONCLUSIONS: Different fundus autofluorescence phenotypic patterns are observed with flash camera systems in patients with diabetic macular edema. A more accurate phenotypic classification could help establish prognostic factors for visual loss or for the design of clinical trials for diabetic macular edema. Copyright:
© 2019 Permanyer.

Entities:  

Keywords:  Diabetic macular edema; Diabetic retinopathy; Fundus autofluorescence

Mesh:

Year:  2019        PMID: 32091016     DOI: 10.24875/GMM.M20000332

Source DB:  PubMed          Journal:  Gac Med Mex        ISSN: 0016-3813            Impact factor:   0.302


  2 in total

1.  Assessment of image quality on color fundus retinal images using the automatic retinal image analysis.

Authors:  Chuying Shi; Jack Lee; Gechun Wang; Xinyan Dou; Fei Yuan; Benny Zee
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

Review 2.  The Role of Intravitreal Corticosteroids in the Treatment of DME: Predictive OCT Biomarkers.

Authors:  Marion R Munk; Gabor Mark Somfai; Marc D de Smet; Guy Donati; Marcel N Menke; Justus G Garweg; Lala Ceklic
Journal:  Int J Mol Sci       Date:  2022-07-08       Impact factor: 6.208

  2 in total

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