June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
OCT biomarkers predictive for visual acuity in patients with diabetic macular edema
Author Affiliations & Notes
  • Bianca S Gerendas
    Vienna Reading Center and OPTIMA Study group, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • Xiaofeng Hu
    Vienna Reading Center and OPTIMA Study group, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • Alexandra Kaider
    Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
  • Alessio Montuoro
    Vienna Reading Center and OPTIMA Study group, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • Amir Sadeghipour
    OPTIMA Study group, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • Sebastian M Waldstein
    OPTIMA Study group, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • Ursula Schmidt-Erfurth
    Vienna Reading Center and OPTIMA Study group, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • Footnotes
    Commercial Relationships   Bianca S Gerendas, Roche (C); Xiaofeng Hu, None; Alexandra Kaider, None; Alessio Montuoro, None; Amir Sadeghipour, None; Sebastian Waldstein, Bayer (C), Novartis (C); Ursula Schmidt-Erfurth, Alcon (C), Bayer (C), Böhringer-Ingelheim (C), Novartis (C)
  • Footnotes
    Support  Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA)
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 2026. doi:
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    • Get Citation

      Bianca S Gerendas, Xiaofeng Hu, Alexandra Kaider, Alessio Montuoro, Amir Sadeghipour, Sebastian M Waldstein, Ursula Schmidt-Erfurth; OCT biomarkers predictive for visual acuity in patients with diabetic macular edema. Invest. Ophthalmol. Vis. Sci. 2017;58(8):2026.

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

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Abstract

Purpose : Many recent publications have correlated morphologic parameters to visual acuity (VA) to emphasize their importance as biomarkers in diabetic macular edema (DME) besides central retinal thickness (CRT). Most of these studies look at a single morphologic parameter. Our aim is to identify which of the evaluated 18 imaging biomarkers can predict VA when all are analyzed in one patient cohort and should therefore be used for automated ophthalmic image analysis.

Methods : All 311 Spectralis OCTs of the DRCR.net Protocol T trial have been manually evaluated by one trained grader of the Vienna Reading Center. The evaluation included presence/location/configuation of intraretinal cystoid fluid (IRC), shape of vitreomacular interface and foveal contour with/without epiretinal membrane, presence/height of subretinal fluid (SRF), presence/area of disrupted external limiting membrane (ELM) and inner-outer-segments line (IS-OS), ischemia (ISC), number of hyperreflective foci and CRT. To evaluate the predictive value of these parameters on baseline VA, multivariable linear regression models were calculated, using the backward method for variable selection and a resampling-based approach with 1000 samples. The source of the data is the DRCR.net, but the analyses, content and conclusions presented herein are solely the responsibility of the authors and have not been reviewed or approved by DRCR.net.

Results : From 18 potential biomarkers, the only predictive were area of disrupted ELM/IS-OS (selection percentage 95.90%/90.9%), presence of SRF (95%) followed by central mm (CMM)/centerpoint CRT (92%/69.6%) and ISC (63.1%). All other parameters showed less than 50% (=not important). When correcting for the other important parameters an ELM/IS-OS disruption of 0.1mm2 causes a VA decrease of 1.3/0.8 letters, the presence of ELM/IS-OS disruption/ISC causes a mean VA loss of 4.0/1.4/4.8 letters, SRF protects VA by 4.1 letters and an increase in CRT in the CMM of 10µm causes a drop of 0.6 letters. The model performance showed an R2=0.29.

Conclusions : Baseline VA correlates best with ELM and IS-OS integrity and SRF presence. Earlier studies allow the conclusion that SRF protects these layers. Automated analysis of ELM/IS-OS might allow VA prediction as their disruption is directly related to irreversible photoreceptor destruction and VA loss. ELM/IS-OS disruption area might be used as a clinical endpoint in future clinical trials.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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