June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Use of factor analysis to develop a model for identifying changes in the optic nerve region using hand-held optical coherence tomography in children with childhood glaucoma
Author Affiliations & Notes
  • Rebecca McLean
    School of Psychology & Vision Sciences, University of Leicester, Leicester, Leicestershire, United Kingdom
  • Sonal Shah
    School of Psychology & Vision Sciences, University of Leicester, Leicester, Leicestershire, United Kingdom
  • John Maltby
    School of Psychology & Vision Sciences, University of Leicester, Leicester, Leicestershire, United Kingdom
  • Irene Gottlob
    School of Psychology & Vision Sciences, University of Leicester, Leicester, Leicestershire, United Kingdom
    Neurology, Rowan University Cooper Medical School, Camden, New Jersey, United States
  • Joseph Abbott
    Ophthalmology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, Birmingham, United Kingdom
    School of Psychology & Vision Sciences, University of Leicester, Leicester, Leicestershire, United Kingdom
  • Frank Antony Proudlock
    School of Psychology & Vision Sciences, University of Leicester, Leicester, Leicestershire, United Kingdom
  • Footnotes
    Commercial Relationships   Rebecca McLean None; Sonal Shah None; John Maltby None; Irene Gottlob None; Joseph Abbott None; Frank Proudlock None
  • Footnotes
    Support  MRC (MR/N004566/1) and Ulverscroft Foundation
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 4075. doi:
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      Rebecca McLean, Sonal Shah, John Maltby, Irene Gottlob, Joseph Abbott, Frank Antony Proudlock; Use of factor analysis to develop a model for identifying changes in the optic nerve region using hand-held optical coherence tomography in children with childhood glaucoma. Invest. Ophthalmol. Vis. Sci. 2023;64(8):4075.

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

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Abstract

Purpose : Optical coherence tomography (OCT) is used widely diagnostically in adult glaucoma. However, despite hand-held OCT being available, its clinical use in childhood glaucoma is limited. Our aim was to generate a model based on optic nerve and circumpapillary retinal nerve fibre layer (cpRNFL) parameters derived from hand-held OCT images for clinical use in childhood glaucoma.

Methods : Hand-held OCT volumetric images were acquired from 28 children with primary glaucoma (mean age ± S.D. - 5.1 ± 3.5 years), 39 with secondary glaucoma (8.0 ± 4.7 years), and 77 age-matched controls (6.7 ± 4.1 years). Factor analysis was used to identify the contribution of parameters to glaucomatous changes or order to generate binary logistic regression models.

Results : Factor analysis revealed two main clusters consisting of: (i) cpRNFL and rim parameters and (ii) cup and cup-to-disc ratio parameters. Using the two principal factors to generate binary logistic regression model resulted in a ROC for detecting childhood glaucoma where the AUC was 0.951 (lower and upper C.I.: 0.915, 0.987) for primary and 0.918 (0.861, 0.976) for secondary glaucoma. A similar result was obtained by using two representative parameters from each cluster (inferior quadrant of cpRNFL and cup area, where AUC was 0.945 (0.903, 0.987) and 0.926 (0.883, 0.969), respectively).

Conclusions : The model suggests two distinct grouping of parameters, possibly because of different stages of disease progression. Combining the parameters derived from the optic nerve using hand-held OCT imaging into a simple model has important diagnostic potential for detection and monitoring of disease progression in childhood glaucoma.

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

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