June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Does foveal pit morphology contribute to age-related macular degeneration (AMD)? tool development utilizing ALSTAR2 baseline imaging data
Author Affiliations & Notes
  • Andreas Berlin
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
    Ophthalmology, Universitatsklinikum Wurzburg, Wurzburg, Bayern, Germany
  • Mark E. Clark
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Thomas A. Swain
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Gerald McGwin
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Cynthia Owsley
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Jason Neal Crosson
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Kenneth R Sloan
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Christine A. Curcio
    Heersink School of Medicine, Ophthalmology and Visual Sciences, The University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Footnotes
    Commercial Relationships   Andreas Berlin Dr. Werner Jackstaedt Foundation, Code F (Financial Support); Mark Clark None; Thomas Swain None; Gerald McGwin None; Cynthia Owsley NEI, Code F (Financial Support), Dorsett Davis Discovery Fund, Code F (Financial Support); Jason Crosson None; Kenneth Sloan None; Christine Curcio Appellis, Astellas, Boehringer Ingelheim, Code C (Consultant/Contractor), NEI, NIH, Code F (Financial Support), Genentech, Code F (Financial Support), Dorsett Davis Discovery Fund, Code F (Financial Support), Schueler Trust, Institutional support, Code F (Financial Support), Heidelberg Engineering, Code F (Financial Support), Regeneron, Code I (Personal Financial Interest)
  • Footnotes
    Support  R01EY029595, R01EY027948, NIH P30EY03039, Dr. Werner Jackstädt-foundation (AB); Dorsett Davis Discovery Fund, Alfreda J. Schueler Trust, Institutional support: Research to Prevent Blindness, Inc., EyeSight Foundation of Alabama;
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 5005. doi:
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      Andreas Berlin, Mark E. Clark, Thomas A. Swain, Gerald McGwin, Cynthia Owsley, Jason Neal Crosson, Kenneth R Sloan, Christine A. Curcio; Does foveal pit morphology contribute to age-related macular degeneration (AMD)? tool development utilizing ALSTAR2 baseline imaging data. Invest. Ophthalmol. Vis. Sci. 2023;64(8):5005.

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

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Abstract

Purpose : To develop tools for analyzing foveal pit shape and thickness in a large sample. We require such tools for our long-term objectives of quantifying the morphologic determinants of macular xanthophyll pigment distribution, as visualized via dual wavelength autofluorescence imaging, and the role of xanthophylls in vision and in AMD progression.

Methods : Participants in the ALSTAR2 baseline cohort (NCT04112667) were assessed by the AREDS 9-step grading system. To increase sample size, and under the assumption that variations in foveal shape fit on a unified spectrum established in development, eyes at grade 1 (normal) and grades 2-4 (early AMD, e-AMD) were both considered. Optical coherence tomography (OCT) volumes (Spectralis, Heidelberg Engineering) were reviewed to exclude pathologies that distorted the foveal pit. Estimates of foveal pit depth, diameter, maximal slope, volume, area, and thickness (maximum and minimum) were derived from OCT volumes using custom FIJI plugins. Generalized estimating equations were used to compare foveal pit parameters between normal and eAMD, adjusting for age.

Results : Of 697 eyes, 449 were classified as normal (64.6%), and 247 as eAMD (35.4%). In total 63 eyes (29 normal, 34 eAMD) were excluded due to pathology affecting foveal morphology, including epiretinal membranes, posterior vitreous detachment, and macular telangiectasia type 2. Mean foveal volume was significantly smaller in eAMD eyes (n=213) than in normal eyes (n=420) (Table). This difference was small (7%) (Figure 1A). All other parameters did not differ significantly between these groups (Table). Parameter distributions were similar (Figure 1B-F).

Conclusions : Foveal pit morphology does not differ in normal aged eyes compared to eyes with eAMD, when overt pathology is excluded. Combining data from these two groups for the purpose of developing tools for analyzing dual wavelength autofluorescence images can be justified.

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

 

 

Figure 1. Percent frequency distributions of foveal pit morphology parameters in normal eyes and eyes with early AMD.Except for pit volume (A), parameters among normal eyes and eAMD eyes are similarly distributed, when overt morphology is excluded. Not all parameters distribute normally, e.g., foveal depth (D).

Figure 1. Percent frequency distributions of foveal pit morphology parameters in normal eyes and eyes with early AMD.Except for pit volume (A), parameters among normal eyes and eAMD eyes are similarly distributed, when overt morphology is excluded. Not all parameters distribute normally, e.g., foveal depth (D).

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