April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Automated Lesion Size Quantification of Geographic Atrophy using Polarization-Sensitive Spectral Domain Optical Coherence in Comparison to Fundus Autofluorescence in a Follow-up Study
Author Affiliations & Notes
  • Ramzi G. Sayegh
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Christian Simader
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Adrijana Prvulovic
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Bernhard Baumann
    Center f. Medical Physics and Biomed Eng,
    Medical University of Vienna, Vienna, Austria
  • Christopher G. Kiss
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Michael Pircher
    Center f. Medical Physics and Biomed Eng,
    Medical University of Vienna, Vienna, Austria
  • Christopher Schuetze
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Erich Goetzinger
    Center f. Medical Physics and Biomed Eng,
    Medical University of Vienna, Vienna, Austria
  • Christoph K. Hitzenberger
    Center f. Medical Physics and Biomed Eng,
    Medical University of Vienna, Vienna, Austria
  • Ursula Schmidt-Erfurth
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Footnotes
    Commercial Relationships  Ramzi G. Sayegh, None; Christian Simader, None; Adrijana Prvulovic, None; Bernhard Baumann, None; Christopher G. Kiss, None; Michael Pircher, None; Christopher Schuetze, None; Erich Goetzinger, None; Christoph K. Hitzenberger, None; Ursula Schmidt-Erfurth, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 1707. doi:
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      Ramzi G. Sayegh, Christian Simader, Adrijana Prvulovic, Bernhard Baumann, Christopher G. Kiss, Michael Pircher, Christopher Schuetze, Erich Goetzinger, Christoph K. Hitzenberger, Ursula Schmidt-Erfurth; Automated Lesion Size Quantification of Geographic Atrophy using Polarization-Sensitive Spectral Domain Optical Coherence in Comparison to Fundus Autofluorescence in a Follow-up Study. Invest. Ophthalmol. Vis. Sci. 2011;52(14):1707.

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

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Abstract
 
Purpose:
 

The purpose of this study is to evaluate the performance of polarization sensitive spectral domain optical coherence tomography (PS-SD-OCT) and a custom software in determining the atrophy lesion area in patients with geographic atrophy (GA) secondary to age related macular degeneration (AMD) in comparison to fundus autofluorescence (FAF) in a follow up study.

 
Methods:
 

12 eyes of 12 patients with GA were examined by PS-SD-OCT and FAF at baseline, month 3 and month 6. Using a novel segmentation algorithm, PS-SD-OCT is capable of detecting and quantifying automatically the integrity of the retinal pigment epithelium (RPE) and therefore the region of atrophy in GA. The lesion size determined in PS-SD-OCT was compared with the lesion size measured using FAF imaging, in order to validate the clinical applicability of this novel imaging method.

 
Results:
 

PS-SD-OCT enables in a single imaging modality the differentiation of all retinal layers as well as determining depolarizing elements in the retina such as the RPE. Mean lesion size detected by PS-SD-OCT was 6.35mm² at baseline, 7.12 mm² at visit 1, and 7.69mm² at month 6. The automatically detected area of atrophy by PS-SD-OCT correlated significantly with the hypofluorescent area representing the area of atrophy measured by FAF at each visit (p< 0.05).

 
Conclusions:
 

This study shows that follow-up of patients with GA secondary to AMD is possible using an automated RPE atrophy lesion size detection software implemented in a PS-SD-OCT system. PS-SD-OCT may therefore be a useful modality for the automatic determination of GA lesion size detection and follow up.

 
Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • age-related macular degeneration 
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