June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Dark-adapted Microperimetry In Age-related Maculopathy And Geographic Atrophy
Author Affiliations & Notes
  • Michael Crossland
    UCL Institute of Ophthalmology, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
  • Rola Ba-Abbad
    UCL Institute of Ophthalmology, London, United Kingdom
    Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
  • Simona Degli Esposti
    Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
  • Adnan Tufail
    Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
    NIHR Moorfields Biomedical Research Centre for Ophthalmology, London, United Kingdom
  • Gary Rubin
    UCL Institute of Ophthalmology, London, United Kingdom
    NIHR Moorfields Biomedical Research Centre for Ophthalmology, London, United Kingdom
  • Footnotes
    Commercial Relationships Michael Crossland, None; Rola Ba-Abbad, None; Simona Degli Esposti, None; Adnan Tufail, Allergan (C), Bayer (C), GSK (C), Oculogics (C), Pfizer (C), Thrombogenics (C), Amakem (C), Heidelberg Engineering (R), Novarits/Alcon (C), Sanofi/Genzyme (C); Gary Rubin, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 5032. doi:
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      Michael Crossland, Rola Ba-Abbad, Simona Degli Esposti, Adnan Tufail, Gary Rubin; Dark-adapted Microperimetry In Age-related Maculopathy And Geographic Atrophy. Invest. Ophthalmol. Vis. Sci. 2013;54(15):5032.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose
 

In order to evaluate the effectiveness of emerging treatments for geographic atrophy, responsive metrics of visual function are required. Histological, psychophysical and questionnaire data indicate reduced rod function in age-related maculopathy (ARM) and geographic atrophy (GA). In this study we use the new test of dark-adapted microperimetry on a cohort of patients with ARM and GA to determine the effectiveness of this test on identifying areas of retinal abnormality.

 
Methods
 

20 patients with ARM or GA were recruited. Conventional and dark-adapted microperimetry were performed on a modified microperimeter (MP-1S, Nidek Technologies, Italy). Perimetry maps were registered with autofluorescence images (obtained using Spectralis, Heidelberg Engineering, Germany; superimposed using Navis software (Nidek Technologies, Italy)). Areas of abnormality on the autofluorescence image were identified by an ophthalmologist masked to microperimetry results.

 
Results
 

On average, more points were not seen at the highest intensity on dark-adapted than conventional microperimetry (mean number of points missed: conventional: 4.45, dark-adapted: 12.2; matched pairs t-test, p<0.01). Dark-adapted sensitivity was poorer over areas of abnormality identified on autofluorescence imaging than over healthy retina (p<0.001). A significant relationship was identified between abnormal autofluorescence and missed points on dark-adapted microperimetry (Cochran-Mantel-Haenszel test, stratified by patient, p<0.0001).

 
Conclusions
 

Performance on dark-adapted microperimetry was poorer than performance on conventional (mesopic) microperimetry testing in our patients with ARM and GA. Failure to detect a test point on dark-adapted microperimetry was significantly associated with the corresponding retinal location being identified as unhealthy on autofluorescence imaging. These results suggest that dark-adapted microperimetry may be a useful outcome measure in studies of geographic atrophy.

 
Keywords: 642 perimetry • 412 age-related macular degeneration • 758 visual fields  
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