April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Macular Inner-Retinal Layer Thickness Super Pixel Analysis for Glaucoma Using Spectral Domain Optical Coherence Tomography (SD-OCT)
Author Affiliations & Notes
  • H. Ishikawa
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania
  • R. A. Bilonick
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • G. Wollstein
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • J. Xu
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
  • L. Kagemann
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania
  • J. S. Schuman
    UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
    Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania
  • Footnotes
    Commercial Relationships  H. Ishikawa, Bioptigen, P; R.A. Bilonick, None; G. Wollstein, Carl Zeiss Meditec, F; Optovue, F; Bioptigen, P; J. Xu, None; L. Kagemann, None; J.S. Schuman, Allergan, R; Carl Zeiss Meditec, R; Alcon, R; Carl Zeiss Meditec, P; Bioptigen, P; Heidelberg Engineering, R; Merck, R; Lumenis, R; Optovue, R; Pfizer, R.
  • Footnotes
    Support  NIH R01-EY013178-9, P30-EY008098; Eye and Ear Foundation (Pittsburgh, PA); Research to Prevent Blindness.
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 3328. doi:
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    • Get Citation

      H. Ishikawa, R. A. Bilonick, G. Wollstein, J. Xu, L. Kagemann, J. S. Schuman; Macular Inner-Retinal Layer Thickness Super Pixel Analysis for Glaucoma Using Spectral Domain Optical Coherence Tomography (SD-OCT). Invest. Ophthalmol. Vis. Sci. 2009;50(13):3328.

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

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Abstract

Purpose: : To assess glaucoma discriminating performance of inner-retinal layer thickness super pixel (SP) analysis using SD-OCT data.

Methods: : Eighty-eight eyes of 54 healthy volunteers and 26 eyes of 26 glaucoma subjects were scanned using SD-OCT (Cirrus HD-OCT; Carl Zeiss Meditec, Inc., Dublin, CA; Macular Cube 200x200 scan pattern). Inner retinal complex (IRC; combination of retinal nerve fiber (RNFL), ganglion cell, inner-plexiform layers) and total retinal (TR) thickness were automatically measured at each sampling point using a software program of our own design. Healthy eyes were separated into 2 groups so that each group contained one eye for each volunteer; 54 healthy eyes were used to establish normative data for both IRC and TR thickness, and the remaining 34 eyes were used to assess glaucoma discriminating performance (test group). SP was defined as mean of 4x4 adjacent sampling points. The number of abnormal SP (< mean-2*standard deviation), number of abnormal SP clusters (group of more than 4 adjacent SPs), number of SPs in the largest abnormal SP cluster, and mean number of SPs in all abnormal SP clusters were automatically calculated. Conventional circumpapillary RNFL (cpRNFL) thickness was also measured for each eye using the Optic Disc 200x200 scan with Cirrus system software (version 3.0).

Results: : Glaucoma subjects were older (64.3±11.5 vs. 43.1±15.3 years, p<0.001, Wilcoxon) and had worse visual field mean deviation (-7.3±7.6 vs. -0.5±1.4 dB, p<0.001, respectively) than the healthy test group. The table shows areas under the receiver operating characteristic curve (AUC) and specificity at sensitivity of ~0.96 for all measured parameters. There was no statistically significant difference in AUC among measured parameters.

Conclusions: : Macular inner-retinal layer super pixel analysis discriminates glaucoma from healthy as well as conventional cpRNFL thickness measurement does.

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