April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Comparison of Geographic Atrophy Measurements from the OCT Fundus Image and an Enhanced OCT Fundus Image Derived from the Increased Light Penetration into the Choroid
Author Affiliations & Notes
  • Brandon W. Lee
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • Zohar Yehoshua
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • Fernando M. Penha
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • Phillip J. Rosenfeld
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • Giovanni Gregori
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • Paul F. Stetson
    Carl Zeiss Meditec Inc., Dublin, California
  • William J. Feurer
    Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida
  • Footnotes
    Commercial Relationships  Brandon W. Lee, None; Zohar Yehoshua, Carl Zeiss Meditec (F); Fernando M. Penha, Carl Zeiss Meditec (F); Phillip J. Rosenfeld, Carl Zeiss Meditec (F, C, R); Giovanni Gregori, Carl Zeiss Meditec (F, P, R); Paul F. Stetson, Carl Zeiss Meditec (E, P); William J. Feurer, None
  • Footnotes
    Support  Research to Prevent Blindness; NEI grant P30 EY014801; Carl Zeiss Meditec; Foundations: Jerome A. Yavitz ; Emma Clyde Hodge; Florman Family; Gemcon Family
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 142. doi:https://doi.org/
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      Brandon W. Lee, Zohar Yehoshua, Fernando M. Penha, Phillip J. Rosenfeld, Giovanni Gregori, Paul F. Stetson, William J. Feurer; Comparison of Geographic Atrophy Measurements from the OCT Fundus Image and an Enhanced OCT Fundus Image Derived from the Increased Light Penetration into the Choroid. Invest. Ophthalmol. Vis. Sci. 2011;52(14):142. doi: https://doi.org/.

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

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Abstract
 
Purpose:
 

To compare the areas of geographic areas (GA) measured on two different types of en face fundus images derived from spectral-domain optical coherence tomography (SDOCT).

 
Methods:
 

Forty-five eyes from 45 patients with geographic atrophy secondary to non-exudative AMD were enrolled in an ongoing prospective SDOCT study at the Bascom Palmer Eye Institute. The eyes were imaged with the Cirrus SDOCT (Carl Zeiss Meditec, Dublin, CA). using the 200 A-scan by 200 B-scan raster pattern contained within a 6mm X 6mm area. The acquired three-dimensional data were then be used to create an en face OCT fundus image (OFI) and an enhanced OFI using only information from bellow the RPE. For inclusion in this study, the GA lesions had to be contained within a 6mmX6mm area centered on the fovea. The GA boundaries were drawn manually by two graders after exporting the files to a CintiQ WACOM digitizing tablet (WACOM Corp., Vancouver, WA). The measurements from enhanced OFI were also obtained using automated software developed by Zeiss.

 
Results:
 

There was excellent agreement between the two graders measuring the enhanced OFIs (ICC = 0.993) and comparable to that between graders the regular regular OFIs (ICC=0.996). The agreement was reduced, but still very good between each grader and the automated result from the enhanced OFIs (Grader 1: ICC=0.883; Grader 2: ICC= 0.877). The mean (SD [range]) of averaged grader slab measurements was 5.34 mm2 (4.15 [0.16, 16.16.37) and not significantly different from the automated mean of 5.46mm2 (3.14 [0.9, 12.9]) (p=0.69).

 
Conclusions:
 

Both the OCT fundus image and the enhanced OCT fundus image proved to be useful for identifying and reproducibly measuring GA in AMD. Automated GA measurements using the enhanced OFI provided very similar measurements when compared with manual segmentation. This method should be useful when following patients with GA over time and in future clinical trials on dry AMD.

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