June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Geometric Morphometric Analysis of the Peripapillary RPE / Bruchs Membrane complex in Glaucomatous and Normal Eyes
Author Affiliations & Notes
  • Robert Honkanen
    Ophthalmology, Stony Brook Medicine, Stony Brook, NY
  • Patrick Sibony
    Ophthalmology, Stony Brook Medicine, Stony Brook, NY
  • Crystal Kania
    School of Medicine, SUNY Stony Brook, Stony Brook, NY
  • Yuchen Liu
    School of Medicine, SUNY Stony Brook, Stony Brook, NY
  • Pranav Patel
    Ophthalmology, Stony Brook Medicine, Stony Brook, NY
  • Kevin Kaplowitz
    Ophthalmology, Stony Brook Medicine, Stony Brook, NY
  • F. James Rohlf
    Ecology and Evolution, SUNY at Stony Brook, Stony Brook, NY
  • Footnotes
    Commercial Relationships Robert Honkanen, None; Patrick Sibony, None; Crystal Kania, None; Yuchen Liu, None; Pranav Patel, None; Kevin Kaplowitz, None; F. James Rohlf, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 82. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Robert Honkanen, Patrick Sibony, Crystal Kania, Yuchen Liu, Pranav Patel, Kevin Kaplowitz, F. James Rohlf; Geometric Morphometric Analysis of the Peripapillary RPE / Bruchs Membrane complex in Glaucomatous and Normal Eyes. Invest. Ophthalmol. Vis. Sci. 2013;54(15):82.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose: Geometric Morphometrics (GM) was used to evaluate shape variation (SV) of the peripapillary RPE and Bruch’s membrane (ppRPE/BM) complex in a well defined glaucoma (Glc) group and normals (Nl).

Methods: We compared SD-OCT images of 96 glaucoma (Glc) Glc and 29 normal (Nl) eyes. Glc diagnosis required both a glaucomatous visual field (VF) defect and a corresponding optic nerve abnormality. (IOP not used as a criteria) Data was analyzed using standard GM techniques including a generalized least squares Procrustes superimposition, thin-plate spline, permutation statistical analysis, principal component analysis (PCA), and partial least squares analysis (PLS). Glc status, age, central corneal thickness (CCT), refractive error (RE), peak IOP (IOPmax), IOP at time of OCT scan (IOPscan), visual field mean defect (MD) and pattern standard deviation (PSD) were analyzed as covariables.

Results: Nl and Glc eyes have a slight V shape that steepens as the neural canal opening (NCO) is approached. Glc status and RE (increasing myopia) show a statistically significant posterior displacement of the ppRPE/BM complex and a widening of the NCO (p=0.1%, 1000 permutations). Glc and RE account for 6.3%, and 5.9% of the observed SV. PCA showed 2 main effects. PC 1 (anterior/posterior movement of the ppRPE/BM) and PC 2 (variation in NCO width) account for 44.1% and 36.1% of the SV respectively. There is large overlap in SV between Nl and Glc eyes. Regression and PLS analysis showed no statistically significant dependence of SV on age, CCT, IOPmax, or IOPscan. In the Glc eyes, SV was not correlated with type of Glc, MD or PSD.

Conclusions: Evalution of ppRPE/BM SV using GM can detect abnormal eyes in papilledema and optic nerve sheath meningioma. Glc and Nl eyes also show a small, statistically significant difference in ppRPE/BM complex shape. However, this technique is of limited value for determining Glc status because of large overlap in SV between Nl and Glc eyes. The lack of correlation between SV and cofactors associated with Glc (IOP/CCT/MD/PSD) also suggests this technique is of limited value for this condition. Optimization of the the technique, perhaps with use of a vertical scan line through the ON may improve the ability to differentiate normal from glaucomatous eyes.

Keywords: 550 imaging/image analysis: clinical • 712 shape and contour • 701 retinal pigment epithelium  
×
×

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.

×