May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Glaucoma Diagnosis Using Quantitative Analysis of Macular Raster Scanning HR-OCT
Author Affiliations & Notes
  • C. Vass
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • H. Resch
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • C. Hirn
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • W. Geitzenauer
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • C. Leydolt
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • B. Brela
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • C. Resch
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • U. Schmidt-Erfurth
    Dept of Ophthalmology, Medical University of Vienna, Vienna, Austria
  • Footnotes
    Commercial Relationships  C. Vass, Carl Zeiss Meditec, R; H. Resch, None; C. Hirn, None; W. Geitzenauer, Carl Zeiss Meditec, R; C. Leydolt, None; B. Brela, None; C. Resch, None; U. Schmidt-Erfurth, None.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 4653. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      C. Vass, H. Resch, C. Hirn, W. Geitzenauer, C. Leydolt, B. Brela, C. Resch, U. Schmidt-Erfurth; Glaucoma Diagnosis Using Quantitative Analysis of Macular Raster Scanning HR-OCT. Invest. Ophthalmol. Vis. Sci. 2008;49(13):4653.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose: : Fast scanning high resolution optical coherence tomography (HR-OCT) enables quantitative analysis of histological retinal layers. Aim of the study was to evaluate the discriminating power of the mean thickness of macular retinal ganglion

Methods: : Macular HR-OCT scans (Cirrus, Carl Zeiss Meditec) were obtained in 16 glaucoma patients and 12 age matched healthy subjects using raster scanning of a 20°x 20° field at a resolution of 512x128x1024 voxels. Only 1 eye per subject was included. The scans were analysed using a software algorithm for automated segmentation and quantification of retinal layers. We analysed retinal nerve fibre layer (RNFL), retinal ganglion cell layer (RGCL), RGCL together with the inner plexiform layer (RGIPL), photorezeptor layer (PRL) and the retinal thickness (RT). Statistical analysis was performed using t-tests and ROC curves.

Results: : Mean defect of visual field of glaucoma eyes was -6.9 dB (0.65 to -25.07) and 7 of those eyes had a MD of better than -6.0 dB. In glaucoma patients the mean thickness was significntly reduced (p<0.001) compared to healthy subjects for RNFL (15.4 vs. 29.1), RGCL (24.12 vs. 33.7), RGIPL (53.9 vs. 72.4), and RT (253,5 vs. 283,8). There was no significant difference in PRL thickness between groups. Discrimination between groups (ROC) was best for RNFL (0.995) followed by RT (0.938), RGCL (0.911) and RGIPL (0.906).

Conclusions: : We demonstrate good discrimination between glaucomatous and healthy eyes using quantitative analysis of macular HR-OCT.

Keywords: imaging/image analysis: clinical • macula/fovea • discrimination 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×