August 2021
Volume 62, Issue 11
Open Access
ARVO Imaging in the Eye Conference Abstract  |   August 2021
Clinical Imaging of Macular Surface Macrophages in Retinal Vasculopathies – Automated OCT Cell Density Mapping and Adaptive Optics Microscopy
Author Affiliations & Notes
  • Richard Bruce Rosen
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Oscar Otero-Marquez
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Maria Virginia Castanos Toral
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Davis Zhou
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, 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 Ophthalmology, New York, New York, United States
  • Justin Migacz
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, New York, New York, United States
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Alfredo Dubra
    Ophthalmology, Stanford University School of Medicine, Palo Alto, California, United States
  • Toco Chui
    Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai Ophthalmology, 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), Genentech-Roche (C), Guardion Health (I), NanoRetina (C), OD-OS (C), Opticology (I), Optovue (C), Optovue (P), Optovue (I), Regeneron (C), Teva (C); Oscar Otero-Marquez, None; Maria Castanos Toral, None; Davis Zhou, None; Rishard Weitz, CellView (E); Justin Migacz, None; Alfredo Dubra, None; Toco Chui, None
  • Footnotes
    Support  This study was supported by the National Eye Institute of the National Institutes of Health under award number R01EY027301. Additional funding for this research was provided by the Marrus Family Foundation, the New York Eye & Ear Foundation, the Challenge Grant award from Research to Prevent Blindness, and the Jorge N. Buxton Microsurgical Foundation.
Investigative Ophthalmology & Visual Science August 2021, Vol.62, 55. doi:
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    • Get Citation

      Richard Bruce Rosen, Oscar Otero-Marquez, Maria Virginia Castanos Toral, Davis Zhou, Rishard Weitz, Justin Migacz, Alfredo Dubra, Toco Chui; Clinical Imaging of Macular Surface Macrophages in Retinal Vasculopathies – Automated OCT Cell Density Mapping and Adaptive Optics Microscopy. Invest. Ophthalmol. Vis. Sci. 2021;62(11):55.

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

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Abstract

Purpose : To compare macular surface macrophage density and associated capillary density in the vasculopathic and normal retinas using clinical OCT, and to examine microanatomic features of the same cells using adaptive optics SLO.

Methods : 49 patients with diabetic retinopathy (DR) (49 eyes), 12 with Sickle Cell Retinopathy (12 eyes), 10 with Retinal Vein occlusion (10 eyes) and 14 controls (14 eyes) were imaged using clinical SD-OCT (Avanti RTVue-XR; Optovue). Ten 3x3mm foveal centered scans were acquired, averaged and corrected for axial length. FAZ border was outlined manually on the OCT-A scan. Automated surface macrophage cell density measurements within the FAZ were performed on the 3µm OCT-R slab above the ILM surface using MATLAB and cell density maps were generated. OCT-A capillary densities were measured on full vascular slabs, from the ILM to 9µm below the posterior boundary of the OPL. Quad Detection Adaptive Optics SLO imaging was performed to characterize the morphologic features of the cells in select subjects.

Results : Surface macrophage cells were found within the FAZ in 80% of diabetic eyes, 86% of SCR eyes and 90% of RVO eyes, and 31% of controls. Statistically significant differences were observed between vasculopathy groups and controls in surface macrophage cell density (Kruskal-Wallis tests, P= 0.0005) with mean±SDs of 5±5 6±7, 13±10, and 1±1 cells/mm2 in SCR, DR, RVO and control groups, respectively. Linear regression found significant inverse correlation between surface macrophage cell densities within the FAZ and perifoveal perfused capillary densities (R= -0.22, P= 0.037). Adaptive optics imaging revealed delicate microscopic features of cell morphology inaccessible at the resolution of clinical imaging.

Conclusions : Clinical OCT is capable of detecting and mapping the density of macular surface macrophage cells in vasculopathic as well as normal eyes. The association of Increased FAZ cell density with corresponding reduced perifoveal capillary density suggests an ischemic stimulus. Adaptive Optics SLO imaging confirms the character and morphology of these cells and suggests their potential value a clinical biomarker of progressive retinal vascular disease or response to therapy.

This is a 2021 Imaging in the Eye Conference abstract.

 

Macular surface macrophages cells and microvasculature of a control and an RVO patient

Macular surface macrophages cells and microvasculature of a control and an RVO patient

 

OCT-R/OCT-A clinical image vs Adaptive optics SLO microscopy

OCT-R/OCT-A clinical image vs Adaptive optics SLO microscopy

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