July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Combining Structural (Visual Field) and Functional (OCT) Information to Confirm Early Glaucoma: A Topographical Method is Better Than Metrics.
Author Affiliations & Notes
  • Donald C Hood
    Ophthalmology, Columbia University, New York, New York, United States
    Psychology, Columbia University, New York, New York, United States
  • Eleanor Kim
    Psychology, Columbia University, New York, New York, United States
  • Ashley Sun
    Psychology, Columbia University, New York, New York, United States
  • Dana Blumberg
    Ophthalmology, Columbia University, New York, New York, United States
  • Jeffrey M Liebmann
    Ophthalmology, Columbia University, New York, New York, United States
  • Robert Ritch
    The New York Eye and Ear Infirmary of Mount Sinai, New York, New York, United States
  • C Gustavo De Moraes
    Ophthalmology, Columbia University, New York, New York, United States
  • Footnotes
    Commercial Relationships   Donald Hood, Heidelberg Engineering Inc (F), Heidelberg Engineering Inc (C), Heidelberg Engineering Inc (R), Topcon, Inc. (F), Topcon, Inc. (C), Topcon, Inc. (R); Eleanor Kim, None; Ashley Sun, None; Dana Blumberg, None; Jeffrey Liebmann, None; Robert Ritch, None; C Gustavo De Moraes, None
  • Footnotes
    Support  NH Grant EY02115
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 4987. doi:
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      Donald C Hood, Eleanor Kim, Ashley Sun, Dana Blumberg, Jeffrey M Liebmann, Robert Ritch, C Gustavo De Moraes; Combining Structural (Visual Field) and Functional (OCT) Information to Confirm Early Glaucoma: A Topographical Method is Better Than Metrics.. Invest. Ophthalmol. Vis. Sci. 2018;59(9):4987.

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

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Abstract

Purpose : To compare conventional metrics to a topographical method for combining optical coherence tomography (OCT) and visual field (VF) information in order to confirm early glaucoma.

Methods : Widefield OCT scans and 24-2 and 10-2 VFs were obtained on 101 eyes of 101 patients with, or suspected, early open-angle glaucoma; eyes had 24-2 mean deviation better than -6dB. Two glaucoma specialists independently judged 44 eyes as “healthy” (H eyes) and 57 as “glaucomatous” (G eyes), based upon disc photos, 10-2 and 24-2 VF, OCT, max IOP, family history, refractive error and corneal thickness.[1] The best conventional VF metric for classifying eyes as abnormal was an abnormal 24-2 (GHT or PSD) and/or an abnormal 10-2 (PSD); the best conventional OCT metric was circumpapillary layer RNFL quadrant thickness.[2] For the metric (M) method, eyes were considered abnormal if one of these VF metrics and the OCT were abnormal. For the topographical (T) method, eyes were considered abnormal if 3 or more 10-2 or 24-2 points at ≤5%, or 2 at 1%, fell within regions of abnormality (red, ≤1%) on RGC+ and/or RNFL probability maps. In Fig. 1 (left panels), the regions abnormal on the 10-2 (within black borders) and 24-2 (red borders) are shown on OCT probability maps (right panels) with the symbols indicating the abnormal 10-2 (squares) and 24-2 (circles) locations falling within abnormal OCT abnormal (red) regions.

Results : For the M method, there were 15 (26.3%) misses (i.e., 15 of the 57 G eyes were classified as normal). For the T method, there were only 3 (5.3%) misses, and 2 of these showed qualitative agreement (e.g., Fig. 2A). The methods falsely classified 1 (T) and M (0) of the 44 H eyes as abnormal. Fig. 2B shows results for an H eye with 24-2 PSD/GHT, 10-2 PSD and OCT (quadrant) all within normal limits, but with abnormal 10-2 VF locations topographically agreeing with RGC+ regions (open squares). Note: the 24-2 (10-2) metric by itself missed 13 (13) of the 57 G eyes; the associated T methods missed 13 (7).

Conclusions : There is excellent agreement between VF and OCT measures of early glaucoma as long as a topographical method, not conventional metrics, is employed and both 24-2 and 10-2 VF abnormalities are considered. 1. Hood et al., TVST (2016); 2. Muhamad et al., J Glau (2017).

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

 

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