April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Proof Of Principle Of Lesion Size Detection In Geographic Atrophy Using Polarization-sensitive Spectral Domain Optical Coherence Tomography And Correlation To Conventional Imaging Techniques
Author Affiliations & Notes
  • Christopher Schuetze
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Matthias Bolz
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Ramzi Sayegh
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Bernhard Baumann
    Center for Medical Physics and Biomedical Engineering,
    Medical University of Vienna, Vienna, Austria
  • Michael Pircher
    Center for Medical Physics and Biomedical Engineering,
    Medical University of Vienna, Vienna, Austria
  • Erich Götzinger
    Center for Medical Physics and Biomedical Engineering,
    Medical University of Vienna, Vienna, Austria
  • Christoph K. Hitzenberger
    Center for Medical Physics and Biomedical Engineering,
    Medical University of Vienna, Vienna, Austria
  • Ursula Schmidt-Erfurth
    Department of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Footnotes
    Commercial Relationships  Christopher Schuetze, None; Matthias Bolz, None; Ramzi Sayegh, None; Bernhard Baumann, None; Michael Pircher, Canon (F); Erich Götzinger, Canon (F); Christoph K. Hitzenberger, Canon (F); Ursula Schmidt-Erfurth, None
  • Footnotes
    Support  FWF grant P19624-B02
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 1244. doi:
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      Christopher Schuetze, Matthias Bolz, Ramzi Sayegh, Bernhard Baumann, Michael Pircher, Erich Götzinger, Christoph K. Hitzenberger, Ursula Schmidt-Erfurth; Proof Of Principle Of Lesion Size Detection In Geographic Atrophy Using Polarization-sensitive Spectral Domain Optical Coherence Tomography And Correlation To Conventional Imaging Techniques. Invest. Ophthalmol. Vis. Sci. 2011;52(14):1244.

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

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Abstract
 
Purpose:
 

To investigate the reproducibility of automated lesion size detection in patients with geographic atrophy (GA) using polarization-sensitive spectral domain OCT (PS-SD-OCT) and to compare findings with conventional imaging techniques such as scanning laser ophthalmoscopy (SLO) and fundus autofluorescence (FAF) imaging.

 
Methods:
 

10 eyes of 7 patients with GA were examined by PS-SD-OCT providing selective identification of the retinal pigment epithelium (RPE) layer. A novel segmentation algorithm was applied to automatically detect and quantify areas of RPE atrophy. Five examinations per eye were performed at a one day visit. The reproducibility of the segmentation algorithm was evaluated. Measured lesion sizes were correlated with manually assessed areas of GA in SLO and FAF imaging in order to validate the clinical applicability of PS-SD-OCT in GA analysis.

 
Results:
 

Mean GA lesion size of all patients measured by PS-SD-OCT was 4.71mm2 (±2.97). Mean percentage of standard deviation in all eyes in relation to mean values of all atrophic RPE lesions investigated was 4.33% (±2.13). The mean variation of RPE lesion size as validated from the repeatability measurements was 0.48 mm², implying a solid reproducibility of GA lesion size evaluation in PS-SD-OCT. GA area in SLO measured 4.49 mm2 (±2,71). Mean lesion size in SLO images was 4.7% smaller than determined by PS-SD-OCT, revealing a reliable correlation. Mean GA area of all eyes assessed by FAF was 4.85mm2 (±: 2.73) and correlated excellent to automatically detected PS-SD-OCT images with a relative deviation of 3.0% regarding lesion size quantification.

 
Conclusions:
 

Evaluation of PS-SD-OCT demonstrated high reproducibility of lesion size determination in patients with GA. Results correlated well with conventional techniques such as SLO and FAF imaging. PS-SD-OCT may therefore be a valuable and specific imaging modality for automated determination of GA lesion size in scientific studies and clinical practice.

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