August 2019
Volume 60, Issue 11
Open Access
ARVO Imaging in the Eye Conference Abstract  |   August 2019
Reference-Based OCT Angiography Perfusion Density Mapping for Identifying Acute and Chronic Changes in Eyes with Retinopathy over Time
Author Affiliations & Notes
  • Richard Rosen
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Jorge S Andrade Romo
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
  • Maria V. Castanos Toral
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Davis B Zhou
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Patricia Garcia
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Alexander Barash
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Rishard Weitz
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
  • Toco YP Chui
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Eye Faculty Practice, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Footnotes
    Commercial Relationships   Richard Rosen, Astellas (C), Bayer (C), Boehringer-Ingelheim (C), CellView (C), Diopsys (C), Genentech-Roche (C), Guardion Health (I), NanoRetina (C), OD-OS (S), Opticology (I), Optovue (C), Regeneron (C), Teva (C); Jorge Andrade Romo, None; Maria Castanos Toral, None; Davis Zhou, None; Patricia Garcia, None; Alexander Barash, None; Rishard Weitz, None; Toco Chui, None
  • Footnotes
    Support  R01EY027301, Marrus Family Foundation, the Geraldine Violett Foundation,New York Eye and Eye Infirmary Research Foundation, The Edward N. & Della L. Thome Memorial Foundation.
Investigative Ophthalmology & Visual Science August 2019, Vol.60, 003. doi:
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      Richard Rosen, Jorge S Andrade Romo, Maria V. Castanos Toral, Davis B Zhou, Patricia Garcia, Alexander Barash, Rishard Weitz, Toco YP Chui; Reference-Based OCT Angiography Perfusion Density Mapping for Identifying Acute and Chronic Changes in Eyes with Retinopathy over Time. Invest. Ophthalmol. Vis. Sci. 2019;60(11):003.

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

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Abstract

Purpose : Assessing non-perfusion and re-perfusion using perfusion density change over time can be challenging given the variability even within a single subject. Using a reference-based perfusion density change mapping approach we evaluated a variety of acute and chronic retinopathies.

Methods : 28 patients (5 age-related macular degeneration-AMD, 10 diabetic retinopathy-DR, 9 retinal vein occlusion-RVO, 2 sickle cell retinopathy-SCR, and 2 radiation retinopathy-RR) and 20 controls were imaged using SDOCT (Optovue). Two 3x3mm parafoveal OCT-A scans were obtained for controls. Acute perfusion changes were assessed in 19 patients before and immediately after intravitreal injections (Fig. Top row). Chronic perfusion changes were assessed in 9 patients with follow up intervals ranging from 6 months to 4 years (Fig. bottom row). Subjects with signal strength index difference between each pair of OCT-As <10 were included for image processing. Image registration was performed for each pair of OCT-As using ImageJ. OCT-A image processing and perfusion density computation were performed using MATLAB as previously described ( ARVO 2018 E-Abstract 4944). Within subject variability of perfusion densities were computed between scans in all controls. Identification of non-perfusion and re-perfusion over time was performed in patients (Fig. Right column). Non-perfusion and re-perfusion area in patients were defined as difference in perfusion density between scans with lower than 0.1% or higher than 99.9% of the normal distribution based on the within-subject variability in controls, respectively.

Results : In patients with acute perfusion changes, mean±SD of non-perfusion and re-perfusion area were 13.20±11.12% and 3.13±5.03%, respectively. Highest acute non-perfusion and re-perfusion area changes were found in patients with RR and RVO, respectively. In patients with chronic perfusion changes, mean±SD of non-perfusion and re-perfusion area were 4.39±6.92% and 1.77±2.38%, respectively. Highest chronic non-perfusion and re-perfusion area changes were found in patients with RVO and DR, respectively.

Conclusions : OCT-A non-perfusion and re-perfused areas were identified in eyes with acute and chronic changes. We have demonstrated a reference-based mapping of non-perfusion and re-perfusion which allows qualitative and quantitative analysis of perfusion density change in OCT-A scans.

This abstract was presented at the 2019 ARVO Imaging in the Eye Conference, held in Vancouver, Canada, April 26-27, 2019.

 

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