June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Finding Patterns in Glaucomatous Visual Field Loss: Components, Prototypes, and Archetypes
Author Affiliations & Notes
  • Tobias Elze
    Schepens Eye Research Institute, Harvard Medical School, Boston, MA
  • Louis Pasquale
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Lucy Shen
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Angela Turalba
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Teresa Chen
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Douglas Rhee
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Janey Wiggs
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Cynthia Grosskreutz
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Stacey Brauner
    Massachusetts Eye and Ear Infirmary, Boston, MA
  • Peter Bex
    Schepens Eye Research Institute, Harvard Medical School, Boston, MA
  • Footnotes
    Commercial Relationships Tobias Elze, None; Louis Pasquale, None; Lucy Shen, None; Angela Turalba, None; Teresa Chen, None; Douglas Rhee, Alcon (C), Alcon (F), Allergan (C), Aquesys (F), Aquesys (C), Merck (F), Merck (C), Santen (C); Janey Wiggs, None; Cynthia Grosskreutz, Novartis INstitutes for BioMedical Research (E); Stacey Brauner, None; Peter Bex, Adaptive Sensory Technology, LLC (S), Rapid Assessment of Visual Sensitivity (P)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 3962. doi:https://doi.org/
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      Tobias Elze, Louis Pasquale, Lucy Shen, Angela Turalba, Teresa Chen, Douglas Rhee, Janey Wiggs, Cynthia Grosskreutz, Stacey Brauner, Peter Bex; Finding Patterns in Glaucomatous Visual Field Loss: Components, Prototypes, and Archetypes. Invest. Ophthalmol. Vis. Sci. 2013;54(15):3962. doi: https://doi.org/.

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

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Abstract
 
Purpose
 

Glaucomatous visual field loss follows characteristic patterns which are related to the retinal nerve fiber geometry. Over the past decades, numerous mostly qualitative classification schemes for the patterns have been proposed. Here, we try to find quantitative mathematical models for the classification of glaucomatous functional damage.

 
Methods
 

We apply the statistical learning procedures Independent Component Analysis (ICA), Cluster Analysis (ClA), and Archetypal Analysis to a set of 13,231 reliable (FL≤33%, FN≤20%) Humphrey Visual Fields (HFV 24-2) of glaucoma patients or suspects from a large clinical glaucoma practice. Left eye locations were mirrored for data analysis to match right eye locations. No repeated measurements over same eye and patient were included. We compare our mathematical classification schemes to the 17 patterns defined in the Ocular Hypertension Treatment Study (OHTS; Keltner et al., Arch. Ophthalmol. 121, 2003, 643-50).

 
Results
 

ICA and ClA yielded patterns not consistent with clinical observations. However, when patterns of visual field loss are learned on the convex hull of the data space (Archetypal Analysis), they closely resemble the clinically derived visual field classification scheme of OHTS. In our solution with 17 subtypes, 16 of them match the exact definitions of patterns given in OHTS (Fig. 1), while the remaining subtype represents the normal visual field. Unlike the OHTS scheme, however, our approach can serve as a framework to quantify the various subtypes of glaucomatous visual field loss. Fig. 2 illustratively shows that the model we proposed can be used to decompose any HVF 24-2 into these 17 subtypes quantitatively.

 
Conclusions
 

We show that typical patterns observed by clinical practitioners can be extracted by purely mathematical procedures that are agnostic to the ophthalmological background. Our approach can serve as an adjunct to global indices and provides a way to objectively quantify functional loss in glaucoma.

 
 
Archetype analysis patterns vs. OHTS classification: The 16 abnormal subtypes. Each box contains those subtypes which match the OHTS pattern given on the right of the box. The % values denote the weight of the subtypes in the box relative to all 17 subtypes (normal subtype: 41.2%; not shown).
 
Archetype analysis patterns vs. OHTS classification: The 16 abnormal subtypes. Each box contains those subtypes which match the OHTS pattern given on the right of the box. The % values denote the weight of the subtypes in the box relative to all 17 subtypes (normal subtype: 41.2%; not shown).
 
 
Illustrative HVF 24-2 and its decomposition into subtypes.
 
Illustrative HVF 24-2 and its decomposition into subtypes.
 
Keywords: 758 visual fields  
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