April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Reproducibility Of Automated Quantification Of Hard Exudates In Diabetic Macular Edema Using Polarization Sensitive Optical Coherence Tomography
Author Affiliations & Notes
  • Jan Lammer
    Department of Ophthalmology, Medical University Vienna, Vienna, Austria
  • Matthias Bolz
    Dept of Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • Barbara Wetzel
    Department of Ophthalmology, Medical University Vienna, Vienna, Austria
  • Bernhard Baumann
    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts
  • Michael Pircher
    Center f. Medical Physics and Biomed Eng,
    Medical University of Vienna, Vienna, Austria
  • Erich Gotzinger
    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
    Ophthalmology,
    Medical University of Vienna, Vienna, Austria
  • DRRG (Diabetic Retinopathy Research Group)
    Department of Ophthalmology, Medical University Vienna, Vienna, Austria
  • Footnotes
    Commercial Relationships  Jan Lammer, None; Matthias Bolz, European patent 09158781.6 (P); Barbara Wetzel, None; Bernhard Baumann, European patent 09158781.6 (P); Michael Pircher, Canon (F), European patent 09158781.6 (P); Erich Gotzinger, Canon (F), European patent 09158781.6 (P); Christoph K. Hitzenberger, Canon (F), European patent 09158781.6 (P); Ursula Schmidt-Erfurth, European patent 09158781.6 (P)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 4046. doi:
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      Jan Lammer, Matthias Bolz, Barbara Wetzel, Bernhard Baumann, Michael Pircher, Erich Gotzinger, Christoph K. Hitzenberger, Ursula Schmidt-Erfurth, DRRG (Diabetic Retinopathy Research Group); Reproducibility Of Automated Quantification Of Hard Exudates In Diabetic Macular Edema Using Polarization Sensitive Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2011;52(14):4046.

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

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Abstract

Purpose: : To evaluate the specific automated quantification of hard exudates (HE) in diabetic macular edema (DME) in vivo using polarization sensitive OCT (PS-OCT).

Methods: : In this study, 9 patients with DME were examined using PS-OCT technology. All of them showed HE which could be detected as polarization scrambling structures on PS-OCT scans. Each eye was examined 5 times in a row, providing comparable data in respect of image quality, position and state of the DME. Results were compared in order to assess the reproducibility and statistical reliability of the tested system. The reproducibility of the amount of HE ("total area" of HE (TA) and "total volume" of HE (TV)) which was automatically quantified on each scan was assessed and 95% confidence intervals (CI) for a change in area and volume of HE were estimated.

Results: : A robust statistically significant reproducibility could be shown for the PS-OCT device, according to all measurements of TA and TV in all patients. The overall mean ± and mean SD of all 9 measurements was 1.29 ± 0.33 mm² for TA and 0.0242 ± 0.0067 mm³ for TV. The coefficient of variation ranged from 0.10 to 0.69 (for TA) and from 0.21 to 0.59 (for TV). Agreement of measurements was assessed showing a mean difference of TA values ranging from 0.00 mm² to 0.67 mm² and a mean difference of TV values ranging from 0.00 mm³ to 0.01 mm³ and coefficients of repeatability of 0.76 µm in the TA measurements and of 0.01 mm³ in the TV measurements.

Conclusions: : PS-OCT is a reliable tool for investigations of patients with HE due to DME . HE could be easily mapped and automatically quantified using new specially designed programs. The intradevice reproducibility proved to be throughout satisfactory. By that, the benefits of PS-OCT for the clinician regarding the clinical assessments of new parameters in patients with DME may be underlined.

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