June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Peripapillary choroidal volume in eyes with and without primary open-angle glaucoma
Author Affiliations & Notes
  • Michael Sullivan-Mee
    Optometry, Albuquerque VA Med Center, Albuquerque, NM
  • Nimesh Patel
    University of Houston, College of Optometry, Houston, TX
  • Denise Pensyl
    Optometry, Albuquerque VA Med Center, Albuquerque, NM
  • Kathy Halverson
    Optometry, Albuquerque VA Med Center, Albuquerque, NM
  • Footnotes
    Commercial Relationships Michael Sullivan-Mee, None; Nimesh Patel, None; Denise Pensyl, None; Kathy Halverson, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 2150. doi:
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    • Get Citation

      Michael Sullivan-Mee, Nimesh Patel, Denise Pensyl, Kathy Halverson; Peripapillary choroidal volume in eyes with and without primary open-angle glaucoma. Invest. Ophthalmol. Vis. Sci. 2013;54(15):2150.

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

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Abstract
 
Purpose
 

To compare peripapillary choroidal volume (PCV) in normal eyes versus eyes diagnosed primary open-angle glaucoma and ocular hypertension.

 
Methods
 

We imaged consecutive subjects who were participating in a longitudinal, observational clinical research study and who were diagnosed primary open-angle glaucoma (POAG), ocular hypertension (OH), or normal (NML). Using spectral domain optical coherence tomography with enhanced depth imaging, we acquired twelve 20-degree (approximate 6mm length) radial scans centered on the optic nerve head; each radial scan was separated by 15 degrees. Using a customized Matlab software program, choroidal thickness was quantified for each scan and adjusted for ocular magnification. PCV measures were then calculated using standard linear interpolation techniques. We compared PCV between diagnostic groups using one-way analysis of variance (ANOVA), and we used regression analyses to evaluate relationships between PCV and age, intraocular pressure, ocular pulse amplitude (OPA), central corneal thickness, mean retinal nerve fiber layer thickness (RNFL), visual field indices (mean defect [MD], pattern standard deviation [PSD]), diabetes diagnosis, and glycosylated hemoglobin levels.

 
Results
 

We imaged 103 consecutive subjects, obtaining PCV measures in 191 eyes (86 POAG, 55 OH, 50 NML eyes). Image quality prevented PCV measurement in 15 eyes (7.2%). Overall, PCV demonstrated large inter-individual variability with a 4-fold difference between thinnest and thickest PCV measures. Among all eyes, PCV was significantly thinner (p<0.001) in POAG (1070 μm3) compared to OH (1276 μm3) and NML eyes (1334 μm3) with similar results when right and left eyes were evaluated separately. In multivariate regression analyses, glaucoma diagnosis, age, and ocular pulse amplitude (OPA) were independently associated with PCV (age was inversely related while OPA was directly related). Notably, parameters associated with glaucoma severity (RNFL, MD, PSD) were not independently associated with PCV.

 
Conclusions
 

Peripapillary choroidal volume appears to be reduced in eyes with POAG compared to NML and OH eyes. Whether thinner PCV reflects inherent risk for POAG or represents acquired change that occurs as part of the glaucoma pathophysiologic process requires further study.

  
Keywords: 452 choroid • 550 imaging/image analysis: clinical  
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