June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Projection-Resolved Optical Coherence Tomographic Angiography of the Macular Ganglion Cell Layer Plexus
Author Affiliations & Notes
  • Karine D Bojikian
    Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States
    Ophthalmology, Legacy Devers Eye Institute at Legacy Good Samaritan Medical Center, Portland, Oregon, United States
  • Jie Wang
    Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States
  • Ping Wei
    Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States
  • Liang Liu
    Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States
  • Yali Jia
    Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States
  • David Huang
    Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States
  • Footnotes
    Commercial Relationships   Karine Bojikian, None; Jie Wang, None; Ping Wei, None; Liang Liu, None; Yali Jia, Optovue, Inc (I); David Huang, Optovue, Inc (I)
  • Footnotes
    Support  NIH grants R01 EY023285, P30 EY010572, R01 EY010145 from the National Institutes of Health, Oregon Health & Science University (OHSU) foundation, and an unrestricted grant from Research to Prevent Blindness
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 2568. doi:
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    • Get Citation

      Karine D Bojikian, Jie Wang, Ping Wei, Liang Liu, Yali Jia, David Huang; Projection-Resolved Optical Coherence Tomographic Angiography of the Macular Ganglion Cell Layer Plexus. Invest. Ophthalmol. Vis. Sci. 2021;62(8):2568.

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

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Abstract

Purpose : To characterize the macular ganglion cell layer plexus (GCLP) boundaries using projection-resolved optical coherence tomographic angiography (PR-OCTA) in healthy eyes.

Methods : Participants were scanned using a commercial OCTA system (RTVue-XR Avanti; Optovue Inc, Fremont CA) in a 6×6-mm area centered on the foveal avascular zone. The split spectrum amplitude decorrelation angiography algorithm (SSADA) was applied to detect flow signal. The GCLP anterior boundary was marked at the nerve fiber layer (NFL)-GCL junction. PR-OCTA algorithm was used to remove flow projection artifacts. Ganglion cell and inner plexiform layer (GCIPL) was divided into 20 equal slabs. In each slab, vessel density (VD) in each polar coordinate sector (Figure 1) were measured using a custom software with automatic shadow exclusion and reflectance compensation. Fifth-degree polynomial fit was used to analyze the correlation between VD and depth in the GCIPL and estimate the boundary between GCPL and intermediate capillary plexus.

Results : 38 normal participants (78.9% female) were enrolled, and one eye in each participant was studied. Mean age and standard deviation was 59.6±10.7. The watershed (depth of minimum VD) between the GCLP and the intermediate capillary plexus (ICP) is located at 75% depth within the GCIPL (Figure 2) throughout the macula. GCLP VD was significantly (p<0.0001) correlated with GCIPL and macular ganglion cell complex (GCC) thickness (r=0.443, and r=0.857, respectively). The correlation was significantly stronger for macular GCC compared to GCIPL (z=-3.3, p<0.001).

Conclusions : Macular GCLP supplies the anterior 75% of the GCIPL. Its density is better correlated with GCC, which also contain the NFL, than with the GCIPL, suggesting that it also supplies the posterior aspect of the NFL. Mapping the macular GCLP may be useful in evaluating ganglion cell perfusion in glaucoma and optic neuropathies.

This is a 2021 ARVO Annual Meeting abstract.

 

Figure 1. Polar coordinate sectors that were used to estimate the boundary between ganglion cell layer plexus and intermediate capillary plexus. N=nasal, S=superior, T=temporal, I=inferior

Figure 1. Polar coordinate sectors that were used to estimate the boundary between ganglion cell layer plexus and intermediate capillary plexus. N=nasal, S=superior, T=temporal, I=inferior

 

Figure 2. Scatter plot of vessel density and depth in each polar sector. Fifth degree polynomial model showing the correlation between vessel density and depth in ganglion cell inner plexiform layer. Depth is position of the normalized ganglion cell inner plexiform layer thickness.

Figure 2. Scatter plot of vessel density and depth in each polar sector. Fifth degree polynomial model showing the correlation between vessel density and depth in ganglion cell inner plexiform layer. Depth is position of the normalized ganglion cell inner plexiform layer thickness.

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