June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Longitudinal assessment of foveal cone topography
Author Affiliations & Notes
  • Iniya Adhan
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Emma Warr
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Jenna Grieshop
    Joint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Joseph Kreis
    Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Danica Nikezic
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Fitore Rrahmani
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Heather Heitkotter
    Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Ashleigh Walesa
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Katherine Hemsworth
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Robert F Cooper
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
    Joint Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Joseph Carroll
    Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
    Cell Biology, Neurobiology & Anatomy, Medical College of Wisconsin, Milwaukee, Wisconsin, United States
  • Footnotes
    Commercial Relationships   Iniya Adhan None; Emma Warr None; Jenna Grieshop None; Joseph Kreis None; Danica Nikezic None; Fitore Rrahmani None; Heather Heitkotter None; Ashleigh Walesa None; Katherine Hemsworth None; Robert Cooper Translational Imaging Innovations , Code C (Consultant/Contractor), Translational Imaging Innovations , Code I (Personal Financial Interest), US Patent App 16/389,942 , Code P (Patent); Joseph Carroll AGTC, Code C (Consultant/Contractor), OptoVue, AGTC, MeiraGTx, Code F (Financial Support), Translational Imaging Innovations, Code I (Personal Financial Interest)
  • Footnotes
    Support  R01EY017607, F31EY033204, UL1TR001436, R01EY033580, FFB-BR-CL-0720-0784-MCW, R44EY031278
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 1066. doi:
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    • Get Citation

      Iniya Adhan, Emma Warr, Jenna Grieshop, Joseph Kreis, Danica Nikezic, Fitore Rrahmani, Heather Heitkotter, Ashleigh Walesa, Katherine Hemsworth, Robert F Cooper, Joseph Carroll; Longitudinal assessment of foveal cone topography. Invest. Ophthalmol. Vis. Sci. 2023;64(8):1066.

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

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Abstract

Purpose : To characterize changes in topography of the foveal cone mosaic over time.

Methods : Individuals with contiguous cone mosaics and no vision-limiting pathology (n= 14, age range = 14-64 yrs) were imaged at two timepoints. AOSLO videos were acquired in one eye per individual using either a 680 or 775 nm source subtending various fields of view (0.5, 0.75, 1.0deg). Multiple videos were collected across the central foveal region. Raw frames were corrected for static sinusoidal distortion and strip registered to an automatically chosen reference frame to produce a high signal-to-noise image. These images were montaged using semi-automated software and manually blended in Photoshop CS6 to create a flattened seamless montage. The scale of each montage was calculated using each individual’s axial length and the known system scale in pixels per degree. Regions of interest (ROI) were then cropped from these montages. Cones were semi-automatically identified within the ROI, from which density matrices were derived using a square sampling window that varied in size to include 150 cones at each point sampled within the matrix. Location and value of peak cone density (PCD), location and density of the cone density centroid (CDC), and the area of the 80th percentile isodensity contour were extracted from each density matrix. Differences between timepoints were assessed using the Wilcoxon matched-pairs test.

Results : The mean (± stdev) time elapsed between the two visits was 37.04 ± 5.19 months. Mean (± stdev) PCD was not significantly different between visit 1 (185,703 ± 20,548 cones/mm2) and visit 2 (184,065 ± 23,818 cones/mm2), p=0.95. Absolute PCD differences between visits ranged from 0.19% to 17.0%, with 9 of the 14 subjects having a difference less than 5%. The mean (± stdev) density at the CDC location was not significantly different between visit 1 (184,672 ± 20,178 cones/mm2) and visit 2 (181,826 ± 23,332 cones/mm2), p=0.55. The mean (± stdev) area of the 80th percentile isodensity contour was not significantly different between visit 1 (11,470 ± 2,493 mm2) and visit 2 (12,716 ± 3,456 mm2), p=0.30.

Conclusions : Normative foveal cone topography appears to be highly reproducible. The data presented here can serve as a foundation to assess changes observed in populations with retinal or systemic diseases that affect the fovea.

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

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