May 2005
Volume 46, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2005
The Analytic and 12–Month Biological Variability of Retinal Oximetry Measurements in Patients With Non–Neovascular Age Related Macular Degeneration
Author Affiliations & Notes
  • L.E. Kagemann
    Ophthalmology, Indiana Univ School of Med, Indianapolis, IN
  • A. Harris
    Ophthalmology, Indiana Univ School of Med, Indianapolis, IN
  • B. Siesky
    Ophthalmology, Indiana Univ School of Med, Indianapolis, IN
  • C. Klaas
    Ophthalmology, Indiana Univ School of Med, Indianapolis, IN
  • R. Danis
    Ophthalmology, University of Wisconsin Medical School, Madison, WI
  • H. Gao
    Ophthalmology, Indiana Univ School of Med, Indianapolis, IN
  • T. Ciulla
    Midwest Eye Institute, Indianapolis, IN
  • C. Jonescu–Cuypers
    Ophthalmology, Cologne University, Cologne, Germany
  • L. McCranor
    Ophthalmology, Indiana Univ School of Med, Indianapolis, IN
  • E. Rechtman
    Ophthalmology, Moorfields Eye Hospital, London, United Kingdom
  • Footnotes
    Commercial Relationships  L.E. Kagemann, None; A. Harris, Merck P, R; Unrestricted Grant from Research to Prevent Blindness F; B. Siesky, None; C. Klaas, None; R. Danis, None; H. Gao, None; T. Ciulla, None; C. Jonescu–Cuypers, None; L. McCranor, None; E. Rechtman, Merck R.
  • Footnotes
    Support  Merck
Investigative Ophthalmology & Visual Science May 2005, Vol.46, 1574. doi:
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      L.E. Kagemann, A. Harris, B. Siesky, C. Klaas, R. Danis, H. Gao, T. Ciulla, C. Jonescu–Cuypers, L. McCranor, E. Rechtman; The Analytic and 12–Month Biological Variability of Retinal Oximetry Measurements in Patients With Non–Neovascular Age Related Macular Degeneration . Invest. Ophthalmol. Vis. Sci. 2005;46(13):1574.

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

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Abstract

Abstract: : Purpose: To quantify the analytical and biological variability of a new retinal oximeter in patients with age related macular degeneration (AMD). Methods: Retinal oximetry images were obtained at baseline (n=14) and 12 months (n=9) in patients with non–neovascular AMD. Images contained 586 nm (isosbestic) and 605 nm (± 2.5nm) light acquired instantaneously and quantified with a 16–bit scientific digital camera. System noise was quantified with a black image, and subtracted from the retinal image. Optical density ratios (ODRs) were calculated by manually placing a fixed–sized sample window on the edge of arteries and veins. Software automatically sampled an identical window located in the tissue at a fixed distance from the vessel sample. Analytical coefficient of variation (CV) was calculated by analyzing a single baseline image five times. Biological variation was determined from ODRs measured at baseline and 12 months. Results: The analytical CV was 4.02% in retinal arteries, and 1.93% in retinal veins. Removal of 5 outliers reduced the analytic CV to 0.26% and 0.57%, respectively. Twelve–month biological CV was 2.43% in retinal arteries and 0.71% in retinal veins. Conclusions: Outliers in the analysis process may increase variation beyond the level of biological variation. On average, analysis contributes approximately 4% and 2% variability to oximetry measurements in retinal arteries and veins respectively, in patients with non–neovascular AMD. Elimination of camera noise and improved analysis techniques have decreased measurement variability from previously reported levels of 13% and 15% obtained in healthy subjects. Retinal oximetry was found to be a reliable method when used in patients with AMD.

Keywords: imaging/image analysis: clinical • metabolism • image processing 
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