June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Using OCT to Guide Visual Field Progression
Author Affiliations & Notes
  • Louay Almidani
    Johns Hopkins Medicine Wilmer Eye Institute, Baltimore, Maryland, United States
  • Kaihua Hou
    Johns Hopkins Medicine Wilmer Eye Institute, Baltimore, Maryland, United States
  • Chris Bradley
    Johns Hopkins Medicine Wilmer Eye Institute, Baltimore, Maryland, United States
  • Pradeep Y Ramulu
    Johns Hopkins Medicine Wilmer Eye Institute, Baltimore, Maryland, United States
  • Jithin Yohannan
    Johns Hopkins Medicine Wilmer Eye Institute, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Louay Almidani None; Kaihua Hou None; Chris Bradley Radius XR, Code C (Consultant/Contractor); Pradeep Ramulu None; Jithin Yohannan Topcon Healthcare, Code C (Consultant/Contractor)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 346. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Louay Almidani, Kaihua Hou, Chris Bradley, Pradeep Y Ramulu, Jithin Yohannan; Using OCT to Guide Visual Field Progression. Invest. Ophthalmol. Vis. Sci. 2023;64(8):346.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : Glaucomatous visual field (VF) damage manifests primarily in a localized manner due to the patterns of retinal nerve fiber layer (RNFL) loss. Therefore, using abnormal OCT RNFL sectors to guide the VF location to follow over time may improve detection of glaucoma worsening compared to a location agnostic approach. The purpose of this study is to compare trend-based, event-based, and OCT-guided methods to identify visual field worsening among a large cohort of glaucoma patients.

Methods : We conducted a retrospective longitudinal study of glaucoma and glaucoma suspect patients with seven or more reliable VFs over time, and a reliable OCT scan within one year of the initial VF to implement our OCT guided method. Our OCT guided method followed the VF sector with the lowest percentile RNFL thickness on OCT Garway-Heath zone along with the immediately adjacent sector within the same hemifield, with other sectors disregarded. We assessed for progression using the following methods across the first five VFs: mean deviation (MD) slope, pointwise linear regression (PLR), guided progression analysis (GPA), OCT-guided mean slope, OCT-guided PLR, and OCT-guided GPA. AUC was computed by comparing each methods progression decision for each eye over all but the last two VFs, to that methods progression decision over all VFs (reference standard).

Results : 44,193 VFs from 5,191 eyes were included in the study. Demographics and characteristics of included eyes are summarized in Table 1. MD, PLR, and GPA methods had an AUC of 0.79 (0.77,0.82), 0.77 (0.74,0.79), and 0.82 (0.79,0.84), respectively. The OCT-guided methods: mean slope, PLR, and GPA, had AUCs of 0.78 (0.74,0.81), 0.75 (0.72,0.79), and 0.89 (0.85,0.92), respectively.

Conclusions : The performance of OCT-guided GPA at detecting VF worsening was better than non-OCT GPA (p < .01). However, OCT guided mean slope and OCT guided PLR performed no better than non-OCT guided methods. OCT-guided event-based methods, but not trend-based methods, may perform better at identifying visual field progression compared to algorithms performed without using OCT guidance.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

Table 1. Demographics and characteristics of eyes included in this study.
† Eyes identified as progressing using each of the methods.

Table 1. Demographics and characteristics of eyes included in this study.
† Eyes identified as progressing using each of the methods.

 

Table 2. Criteria for visual field progression.

Table 2. Criteria for visual field progression.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×