April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Retinal Ganglion Cell Count Estimates in Primary Angle Closure
Author Affiliations & Notes
  • Carol Yim-lui Cheung
    Singapore Eye Research Institute, Singapore, Singapore
    Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Sinapore, Singapore
  • Monisha Esther Nongpiur
    Singapore Eye Research Institute, Singapore, Singapore
  • Tien Y Wong
    Singapore Eye Research Institute, Singapore, Singapore
    Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Sinapore, Singapore
  • Tin Aung
    Singapore Eye Research Institute, Singapore, Singapore
    Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Sinapore, Singapore
  • Footnotes
    Commercial Relationships Carol Cheung, None; Monisha Nongpiur, None; Tien Wong, None; Tin Aung, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 4754. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Carol Yim-lui Cheung, Monisha Esther Nongpiur, Tien Y Wong, Tin Aung; Retinal Ganglion Cell Count Estimates in Primary Angle Closure. Invest. Ophthalmol. Vis. Sci. 2014;55(13):4754.

      Download citation file:


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

      ×
  • Supplements
Abstract
 
Purpose
 

To compare the retinal ganglion cell (RGC) count estimates, which combines structural and functional measures, in subjects categorized as, primary angle closure (PAC), primary angle closure glaucoma (PACG) and healthy controls.

 
Methods
 

Angle closure subjects were recruited from glaucoma clinics and healthy normal controls were recruited from the general population. Standard automated perimetry sensitivity thresholds (Swedish Interactive Threshold Algorithm Standard 24-2 strategy) and average retinal nerve fiber layer (RNFL) thickness with spectral domain optical coherence tomography (SD-OCT, Cirrus HD-OCT, Carl Zeiss Meditec Inc,. Dublin, CA) were measured from all the eyes. The estimates of RGC counts were obtained according to a model developed by Medeiros et al based on empirical formulas derived by Harwerth et al, utilizing information from both structural and functional tests . We used analyses of covariance (ANCOVA) to estimate mean RGC counts in the groups adjusted for gender, intraocular pressure, anterior chamber depth and axial length. Area under receiver operating characteristic curves (AUCs) was used to assess the ability of RGC count and SD-OCT RNFL thicknesses to discriminate PACG and PAC from healthy controls. Only one eye was selected from each subject.

 
Results
 

We included 41 eyes of PAC, 55 eyes of PACG, and 464 healthy eyes in the analysis. The adjusted mean (standard error) RGC counts were 1000.3 (7.50), 632.0 (26.2) and 452.2 (22.9) (x1000 cells) in healthy, PAC and PACG eyes, respectively. The RGC count showed a significant reduction across the groups (p-trend<0.001) (Figure 1). Compared with the healthy controls, the PAC and PACG eyes had significant lesser RGC counts (all p<0.001). PACG eyes had significant lesser RGC counts (all p<0.001) than PAC eyes. The RGC counts performed better in the ability to discriminate PACG (AUC 0.98 vs. 0.89, p<0.001) and PAC (AUC 0.91 vs. 0.66, p<0.001) from healthy eyes, compared with average RNFL thickness.

 
Conclusions
 

A significant reduction of RGCs loss were observed in PAC and PACG eyes, compared with healthy eyes. The recent method to estimate RGC counts on the basis of a combination of structural and functional tests are useful to assess RGC loss in primary angle closure.

 
 
The retinal ganglion cell (RGC) count estimates, which combines structural and functional measures, show significant reduction across the groups.
 
The retinal ganglion cell (RGC) count estimates, which combines structural and functional measures, show significant reduction across the groups.
 
Keywords: 550 imaging/image analysis: clinical • 758 visual fields • 531 ganglion cells  
×
×

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.

×