June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Multi-center repeatability of macular capillary perfusion density using optical coherence tomography angiography
Author Affiliations & Notes
  • Jianhua Wang
    Ophthalmology, Bascom Palmer Eye Institute, Florida, United States
  • Ava-Gaye Simms
    Ophthalmology, Bascom Palmer Eye Institute, Florida, United States
  • Shokufeh Sadaghiani
    Neurology, University of Pennsylvania Perelman School of Medicine, Pennsylvania, United States
  • Yu You Jiang
    Ophthalmology, University of Pennsylvania Perelman School of Medicine, Pennsylvania, United States
  • Jessica Ijams Wolfing Morgan
    Ophthalmology, University of Pennsylvania Perelman School of Medicine, Pennsylvania, United States
  • Geoffrey K Aguirre
    Neurology, University of Pennsylvania Perelman School of Medicine, Pennsylvania, United States
  • Pradip M Pattany
    Radiology, University of Miami Miller School of Medicine, Florida, United States
  • John A. Detre
    Neurology, University of Pennsylvania Perelman School of Medicine, Pennsylvania, United States
  • Hong Jiang
    Ophthalmology, Bascom Palmer Eye Institute, Florida, United States
    Neurology, University of Miami Miller School of Medicine, Florida, United States
  • Footnotes
    Commercial Relationships   Jianhua Wang None; Ava-Gaye Simms None; Shokufeh Sadaghiani None; Yu You Jiang None; Jessica Morgan None; Geoffrey Aguirre None; Pradip Pattany None; John Detre None; Hong Jiang None
  • Footnotes
    Support  NIH Center Grant P30 EY014801, NINDS 1R01NS111115, the Ed and Ethel Moor Alzheimer's Disease Research Program (Florida Health, 20A05), Research to Prevent Blindness (RPB).
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2922 – F0075. doi:
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      Jianhua Wang, Ava-Gaye Simms, Shokufeh Sadaghiani, Yu You Jiang, Jessica Ijams Wolfing Morgan, Geoffrey K Aguirre, Pradip M Pattany, John A. Detre, Hong Jiang; Multi-center repeatability of macular capillary perfusion density using optical coherence tomography angiography. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2922 – F0075.

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

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Abstract

Purpose : To determine the test-retest repeatability in quantifying macular capillary perfusion density (CPD) using optical coherence tomography angiography (OCTA) in a multi-center setting.

Methods : OCTA data was obtained in self-reported healthy subjects from Bascom Palmer Eye Institute at the University of Miami (UM, N = 18) and the University of Pennsylvania (UPenn, N = 25). OCTA was repeated at an interval of one week for assessment of repeatability (precision) in the same subjects. Analysis of OCTA-derived capillary perfusion density (OCTA-CPD) focused on the macula. Image processing procedures and fractal analysis developed in our lab were used to process OCTA data. Fractal analysis was performed on the skeletonized vascular images to yield vessel densities by box-counting in an annulus to fractal dimension (Dbox) yielding OCTA-CPD. Large vessel and microvessel network densities (Dbox) as CPD of annuli (0.5-2.5 mm in diameter from 3 mm scans and 0.5 – 5.0 mm from 6 mm scans) in the total retinal vascular network (RVN), superficial (SVP), and deeper vascular plexuses (DVP) were analyzed. Repeatability was assessed by 3 measures: standard deviation (SD), coefficient of variation (CV) of repeated measures, and intraclass correlation coefficient (ICC).

Results : SD, CV, and ICC are listed in table 1. Both sites (UPENN and UM) had similar results. The CV% was about 0.5% which presents high measurement repeatability. However, the ICC was lower than expected, possibly due to the narrow CPD ranges in this healthy cohort. The ICC for the 3 mm scans was higher than that for the 6 mm scans from both sites.

Conclusions : While data collection and analysis are ongoing, our preliminary data showed high repeatability in both research sites, according to the CV. Scans with the 3 mm setting appear to be more repeatable.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

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