Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Characterizing Eyes of Older Normal Subjects for Use in Testing Diagnostic Algorithms
Author Affiliations & Notes
  • Mary K Durbin
    Topcon Healthcare, Oakland, New Jersey, United States
  • Anya Guzman
    Topcon Healthcare, Oakland, New Jersey, United States
  • Juan D. Arias
    Topcon Healthcare, Oakland, New Jersey, United States
  • Hannah Hou
    Topcon Healthcare, Oakland, New Jersey, United States
  • Mayra Tafreshi
    Topcon Healthcare, Oakland, New Jersey, United States
  • David Kasanoff
    New View Optometric Center, La Mesa, California, United States
  • Jessica Menou
    New View Optometric Center, La Mesa, California, United States
  • Nevin W. El-Nimri
    Topcon Healthcare, Oakland, New Jersey, United States
  • Footnotes
    Commercial Relationships   Mary Durbin Topcon Healthcare, Code E (Employment); Anya Guzman Topcon Healthcare, Code E (Employment); Juan Arias Topcon Healthcare, Code E (Employment); Hannah Hou Topcon Healthcare, Code E (Employment); Mayra Tafreshi Topcon Healthcare, Code E (Employment); David Kasanoff Topcon Healthcare, Code C (Consultant/Contractor); Jessica Menou None; Nevin El-Nimri Topcon Healthcare, Code E (Employment)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 4047. doi:
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      Mary K Durbin, Anya Guzman, Juan D. Arias, Hannah Hou, Mayra Tafreshi, David Kasanoff, Jessica Menou, Nevin W. El-Nimri; Characterizing Eyes of Older Normal Subjects for Use in Testing Diagnostic Algorithms. Invest. Ophthalmol. Vis. Sci. 2024;65(7):4047.

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

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Abstract

Purpose : Algorithms intended to identify and monitor pathology are frequently proposed using modalities that are not routinely performed on asymptomatic subjects. The goal of this study was to test the feasibility of acquiring a cohort of older controls for use in evaluating such algorithms.

Methods : Subjects aged 50 or older were recruited. Central corneal thickness (CCT) measurements were obtained using Aladdin (Topcon Healthcare/VISIA, San Giovanni Valdarno, Italy), followed by the Maestro2 (Topcon Healthcare, Tokyo, Japan) to capture optical coherence tomography (OCT) and color fundus images for both eyes of each subject. Subjects then underwent binocular visual field testing using TEMPO/IMOvifa (Topcon Healthcare/CREWT Medical Systems, Tokyo, Japan). Finally, a clinician performed an eye exam, including refraction and Goldman Applanation Tonometry (GAT), and reviewed the Maestro2 results to confirm the absence of any pathologies. Clinician review of fundus images was performed to generate cup to disc ratios. To demonstrate the applicability of this data in evaluating various parameter combinations, 4 OCT only models published by Fukai et al (Trans Vis Sci Tech. 2022;11(8):8), the OHTS algorithm (Gordon et al, Ophthalmology. 2007;114(1):10-19) , and an algorithm that utilizes OCT and other clinical parameters to predict the likelihood of glaucoma (Screening Score) were generated for all subjects. Mean, standard deviation (SD), median, and ranges, were evaluated for all measured and calculated values.

Results : Twenty-six subjects were recruited, including 10 males (38%) and 16 females (62%), with an average age of 61.3 (standard deviation 5.9) years. Two subjects were excluded, one for corneal edema and one for epiretinal membrane. Table 1 shows the distribution of tested parameters for the remaining 24 subjects, as well as the distribution of the different scores calculated from the measured data. IOP was typical of a normal population, ranging between 9 and 20 mmHg for both eyes. CCT ranged from 468 to 631 µm. Visual field MD ranged from -0.34 to 0.75 decibels (dB).

Conclusions : Convenience sampling of normal subjects can provide multi-modal data for evaluating normal values in multi-modal algorithms. Additional data collection will be required to generate a statistically significant sample.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

Descriptive statistics for measured and calculated values for the 26 subjects.

Descriptive statistics for measured and calculated values for the 26 subjects.

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