September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
Computational analysis of longitudinal changes to optic nerve head structure in normal and glaucoma individuals
Author Affiliations & Notes
  • Mark Christopher
    University of Iowa, Iowa City, Iowa, United States
    Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States
  • Ben Faga
    University of Iowa, Iowa City, Iowa, United States
    Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States
  • Nicholas Eglaine
    University of Iowa, Iowa City, Iowa, United States
    Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States
  • John H Fingert
    University of Iowa, Iowa City, Iowa, United States
    Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States
  • Todd E Scheetz
    University of Iowa, Iowa City, Iowa, United States
    Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States
  • Michael David Abramoff
    University of Iowa, Iowa City, Iowa, United States
    Stephen A. Wynn Institute for Vision Research, University of Iowa, Iowa City, Iowa, United States
  • Footnotes
    Commercial Relationships   Mark Christopher, None; Ben Faga, None; Nicholas Eglaine, None; John Fingert, None; Todd Scheetz, None; Michael Abramoff, IDx LLC (C), IDx LLC (I), University of Iowa (P)
  • Footnotes
    Support  NIH Grant EY023187
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 835. doi:
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    • Get Citation

      Mark Christopher, Ben Faga, Nicholas Eglaine, John H Fingert, Todd E Scheetz, Michael David Abramoff; Computational analysis of longitudinal changes to optic nerve head structure in normal and glaucoma individuals. Invest. Ophthalmol. Vis. Sci. 2016;57(12):835.

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

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Abstract

Purpose : To characterize longitudinal changes in optic nerve head (ONH) structure and identify features associated with the development of primary open angle glaucoma (POAG).

Methods : Clinical measurements and stereo fundus photos were collected at regular intervals from a large cohort of participants (n = 1636) as part of the Ocular Hypertension Treatment Study. A subset of this data consisting of participant demographics (age, sex, ethnicity), standard clinical measurements (intraocular pressure, cup-to-disc ratio), stereo images, and disease outcomes (conversion to POAG) collected over a ten-year period was identified. ONH structural features were computed for each participant at each stereo imaging time point using our previously published methods for quantifying ONH structure from stereo. Longitudinal changes in the clinical and structural features were characterized for both normal and POAG participants to identify changes associated with the disease. Predictive models were also constructed using only data collected prior to conversion to POAG to evaluate the ability of these features to perform early disease detection.

Results : The structural measurements computed from stereo were significantly associated (p < 0.05) with disease status at the time of imaging. The features were also significantly (p < 0.05) associated with standard clinical measurements. Models predicting POAG achieved an area under ROC of 0.752.

Conclusions : Computational analysis of longitudinal stereo fundus images collected over the course of ten years revealed disease associated changes to the ONH. Augmenting standard clinical measurements with image-derived structural measurements also aided predicting conversion to POAG. Future work will incorporate available genotype data to characterize the influence of genetics as well as disease on longitudinal changes to the ONH.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

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