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Predictors for the progression of geographic atrophy in patients with age-related macular degeneration: fundus autofluorescence study with modified fundus camera
Authors:Y J Jeong  I H Hong  J K Chung  K L Kim  H K Kim  S P Park
Affiliation:1.Department of Ophthalmology, Kangdong Sacred Heart Hospital, Hallym University Medical Center, Seoul, Korea;2.Department of Ophthalmology, Columbia University Medical Center, New York, NY, USA
Abstract:

Purpose

We examined the association between abnormal fundus autofluorescence (FAF) features on images obtained by a modified fundus camera (mFC) and geographic atrophy (GA) progression in patients with age-related macular degeneration (AMD).

Methods

Serial FAF images of 131 eyes from 131 patients with GA were included in the study. All FAF images were obtained with an mFC (excitation, ∼500–610 nm; emission, ∼675–715 nm). The GA area was quantified at baseline and 1 year later using a customized segmentation program. The yearly GA enlargement rate was then calculated. Abnormal FAF patterns in the junctional zone of GA were classified as None or Minimal change, Focal, Patchy, Banded, or Diffuse according to previously published classification based on confocal scanning laser ophthalmoscopy (cSLO). The relationship between GA enlargement and abnormal FAF was evaluated.

Results

The mean rate of GA enlargement was the fastest in eyes with Diffuse pattern (1.74 mm2 per year), followed by eyes with the Banded pattern (1.69 mm2 per year). Binary logistic regression analysis revealed that eyes with the Banded and Diffuse pattern had significantly higher risk for GA enlargement compared with eyes with the other patterns.

Conclusions

FAF image obtained by mFC appears to be acceptable for evaluating GA in accordance with an established cSLO-based classification. Eyes with the Banded or the Diffuse patterns of abnormal FAF at baseline indicate a high risk for GA progression. Identifying patients at high risk for GA progression using an mFC is broadly available method that can provide additional information to help predict disease course.
Keywords:fundus autofluorescence   fundus camera   geographic atrophy   progression   age-related macular degeneration
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