July 2020
Volume 61, Issue 9
Open Access
ARVO Imaging in the Eye Conference Abstract  |   July 2020
Using hierarchical cluster analysis to cluster 52 visual field points
Author Affiliations & Notes
  • Mengfei Wu
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
    Departments of Population Health and Environmental Medicine, NYU Langone Health, New York, United States
  • Mengling Liu
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
    Departments of Population Health and Environmental Medicine, NYU Langone Health, New York, United States
  • Hiroshi Ishikawa
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
  • Joel Schuman
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
    Department of Biomedical Engineering, New York University, New York, United States
  • Gadi Wollstein
    Department of Ophthalmology, NYU Langone Health, New York, New York, United States
  • Footnotes
    Commercial Relationships   Mengfei Wu, None; Mengling Liu, None; Hiroshi Ishikawa, None; Joel Schuman, Zeiss (P); Gadi Wollstein, None
  • Footnotes
    Support  NIH: R01­EY013178
Investigative Ophthalmology & Visual Science July 2020, Vol.61, PB0052. doi:
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    • Get Citation

      Mengfei Wu, Mengling Liu, Hiroshi Ishikawa, Joel Schuman, Gadi Wollstein; Using hierarchical cluster analysis to cluster 52 visual field points. Invest. Ophthalmol. Vis. Sci. 2020;61(9):PB0052.

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

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Abstract

Purpose : Hierarchical cluster analysis (HCA) is an unsupervised learning technique that groups similar observations into relatively homogeneous clusters. Our goal was to determine the optimal clusters of visual field (VF) points using HCA when accounting for the association of their threshold values with retinal nerve fiber layer (RNFL) clock-hours.

Methods : Subjects with qualified OCT (Cirrus HD-OCT, Zeiss, Dublin, CA) scans and VF (Humphrey field analyzer, SITA standard 24-2 protocol; Zeiss) tests were included. All records used for analysis had a VF mean deviation (MD) < -2 dB and an average RNFL > 45 mm. HCA was used to cluster individual VF threshold values and their correlation with OCT RNFL clock hours measurements, using their correlation matrix. The optimal number of clusters was estimated via within-cluster sum of squares based on 10-fold cross validation. Manhattan distance was calculated for HCA and the best linkage method was chosen by cophenetic correlation.

Results : A total of 5789 records from 1131 subjects (1851 eyes) were analyzed with an average RNFL of 71.7 +/- 14.0 mm and a median MD of -5.68 (-12.11, -3.27) dB. The mean age was 65.6 +/- 13.4 years. The optimized number of clusters were 4 for the superior hemifield and 3 in the inferior (see Figure).

Conclusions : We reported the clustering of VF points based on the association between their threshold values and RNFL clock hours. The VF points within each cluster had similar correlation with the clock hours in the corresponding hemifield.

This is a 2020 Imaging in the Eye Conference abstract.

 

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