Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Robotic Spectral-domain versus Swept-source OCT in the association between OCT-Angiography metrics and glaucoma severity.
Author Affiliations & Notes
  • Massimo Antonio Fazio
    Ophthalmology and Visual Sciences, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, United States
  • Mark E Clark
    Ophthalmology and Visual Sciences, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, United States
  • Christopher A Girkin
    Ophthalmology and Visual Sciences, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, United States
  • Footnotes
    Commercial Relationships   Massimo Fazio Heidelberg Engineering GmbH, Code C (Consultant/Contractor), Heidelberg Engineering GmbH, Code F (Financial Support), Topcon Healthcare, Inc., Code F (Financial Support), Wolfram Reserach, Inc., Code R (Recipient), R01EY028284, Code R (Recipient), R01EY035053, Code R (Recipient); Mark Clark None; Christopher Girkin Topcon Healthcare, Inc., Code C (Consultant/Contractor), Iridex, Code C (Consultant/Contractor), Heidelberg Engineering GmbH, Code F (Financial Support), Topcon Healthcare, inc., Code F (Financial Support), R01EY035053, Code R (Recipient), R01EY028284, Code R (Recipient)
  • Footnotes
    Support  Topcon Healthcare
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 1212. doi:
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    • Get Citation

      Massimo Antonio Fazio, Mark E Clark, Christopher A Girkin; Robotic Spectral-domain versus Swept-source OCT in the association between OCT-Angiography metrics and glaucoma severity.. Invest. Ophthalmol. Vis. Sci. 2024;65(7):1212.

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

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Abstract

Purpose : To assess the association between OCT-Angiography (OCTA) metrics and glaucoma severity in subjects imaged by a Spectral-domain (SD) robotic OCT and a swept-source (SS) OCT.

Methods : Thirty-four eyes of twenty-six glaucoma subjects were imaged by an investigational OCTA acquisition software by both a robotic SD-OCT (Maestro2, Topcon Healthcare, Tokyo, Japan) and a SS-OCT (Triton, Topcon Healthcare, Tokyo, Japan). Custom OCTA-derived metrics were computed for the superficial vascular plexus (SVP) and analyzed against glaucoma visual field mean defect (VF MD). Linear mixed effect models analyzed the association between radial peripapillary capillary (RPC) density after large-vessel removal (Fig.1), glaucoma severity, scan quality score (device’s native, Q-mean), age, and layer thickness.

Results : RPC density showed a significant association with glaucoma severity for both the robotic SD-OCT (2.067 dB/%, p=0.001655; Table) and SS-OCT (1.94 dB/%, p=0.004026; Table) imaging device; both associations were independent of layer thickness. Strength of the correlation (Fig. 2) was higher for the SS-OCT (R2=0.54) than the SD-OCT (R2=0.45).

Conclusions : To our knowledge, this is the first report of OCTA metrics by the Topcon Maestro2. Investigational OCTA metrics by Maestro2 (robotic SD-OCT) performed comparably with the Triton’s (SS-OCT) OCTA metrics in their association with glaucoma severity. The highly automated capabilities of the Maestro2’s OCTA may make it a valuable tool for primary eye care and population screening programs.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

A-B subplots: Original en face OCTA-derived perfusion maps of the Maestro2 (SD-OCT) and Triton (SS-OCT) devices. C-D: custom-computed large-vessel perfusion maps for computation of the radial peripapillary capillary vessel density metric

A-B subplots: Original en face OCTA-derived perfusion maps of the Maestro2 (SD-OCT) and Triton (SS-OCT) devices. C-D: custom-computed large-vessel perfusion maps for computation of the radial peripapillary capillary vessel density metric

 

Linear correlation between radial peripapillary capillary vessel density and visual field mean defect (MD). Scatterplots are color-coded by scan quality’s native score (Q-mean).

Linear correlation between radial peripapillary capillary vessel density and visual field mean defect (MD). Scatterplots are color-coded by scan quality’s native score (Q-mean).

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