April 2011
Volume 52, Issue 14
ARVO Annual Meeting Abstract  |   April 2011
Peripheral Findings with Ultra-Widefield Greenlight (532 nm) Autofluorescence Imaging in Selected Diseases
Author Affiliations & Notes
  • Carmen A. Puliafito
    Office of the Dean, Keck School of Medicine of USC, Los Angeles, California
  • Florian M. Heussen
    Ophthalmology, Doheny Eye Institute, Los Angeles, California
  • Srinivas R. Sadda
    Ophthalmology, Doheny Eye Institute, Los Angeles, California
  • Alexander C. Walsh
    Ophthalmology, Doheny Eye Institute, Los Angeles, California
  • Footnotes
    Commercial Relationships  Carmen A. Puliafito, None; Florian M. Heussen, None; Srinivas R. Sadda, Carl Zeiss Meditec (F), Heidelberg Engineering (C), Optovue Inc. (F), Topcon Medical Systems (P); Alexander C. Walsh, Topcon Medical Systems (P)
  • Footnotes
    Support  NIH Grant EY03040 and NEI Grant R01 EY014375
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 4796. doi:
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    • Get Citation

      Carmen A. Puliafito, Florian M. Heussen, Srinivas R. Sadda, Alexander C. Walsh; Peripheral Findings with Ultra-Widefield Greenlight (532 nm) Autofluorescence Imaging in Selected Diseases. Invest. Ophthalmol. Vis. Sci. 2011;52(14):4796.

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

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Purpose: : To evaluate the prevalence of peripheral fundus autofluorescence (FAF) abnormalities in known disease entities using an ultra-widefield greenlight scanning laser ophthalmoscope (532 nm, P200AF).

Methods: : A retrospective analysis was performed on images of patients seen at the Doheny Eye Institute Retina Service from November 2009 to March 2010. Cases were grouped by diagnosis. Areas of FAF were qualitatively graded as increased or decreased as compared to background FAF and correlated with color fundus photographs, and other conventional FAF instruments. Characteristic patterns of peripheral FAF were identified.

Results: : A total of 225 eyes were evaluated. Major disease groups included age-related macular degeneration (n=45), inflammatory disease (n=60), ocular tumors (n=9), central serous retinopathy (n=11), and retinal degenerations (n=32). In 173 eyes (76.9 %), peripheral changes were detected outside the central 30° field of view. Some conditions such as inflammatory diseases appeared to have characteristic FAF changes. FAF abnormalities often correlated with pigmentary abnormalities noted on color photographs, but the changes were typically more striking or extensive on FAF.

Conclusions: : Ultra-widefield autofluorescence imaging enables the identification of previously undetected peripheral autofluorescence abnormalities. These changes may be a value in diagnosis and monitoring of disease progression, but require validation in future studies.

Keywords: imaging/image analysis: clinical • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • image processing 

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