Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
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ARVO Annual Meeting Abstract  |   June 2020
OCT-A is better than RNFL at discriminating advanced glaucoma severity levels.
Author Affiliations & Notes
  • Jan Van Eijgen
    Research Group Ophthalmology, Department of Neurosciences, KU Leuven, Leuven, Belgium
    Department of Ophthalmology, University Hospitals Leuven, Leuven, Belgium
  • Joao Barbosa-Breda
    Research Group Ophthalmology, Department of Neurosciences, KU Leuven, Leuven, Belgium
    Department of Ophthalmology, Centro Hospitalar e Universitário São João, Porto, Portugal
  • Danilo Andrade De Jesus
    Biomedical Imaging Group Rotterdam, Departments of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
  • Luisa Sanchez Brea
    Biomedical Imaging Group Rotterdam, Departments of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
  • Theo van Walsum
    Biomedical Imaging Group Rotterdam, Departments of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
  • Stefan Klein
    Biomedical Imaging Group Rotterdam, Departments of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands
  • Ingeborg Stalmans
    Research Group Ophthalmology, Department of Neurosciences, KU Leuven, Leuven, Belgium
    Department of Ophthalmology, University Hospitals Leuven, Leuven, Belgium
  • Footnotes
    Commercial Relationships   Jan Van Eijgen, None; Joao Barbosa-Breda, None; Danilo Andrade De Jesus, None; Luisa Sanchez Brea, None; Theo van Walsum, None; Stefan Klein, None; Ingeborg Stalmans, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 3916. doi:
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      Jan Van Eijgen, Joao Barbosa-Breda, Danilo Andrade De Jesus, Luisa Sanchez Brea, Theo van Walsum, Stefan Klein, Ingeborg Stalmans; OCT-A is better than RNFL at discriminating advanced glaucoma severity levels.. Invest. Ophthalmol. Vis. Sci. 2020;61(7):3916.

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

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Abstract

Purpose : To study the ability of peripapillary microvascular density on OCT-A in different sectors and layers to discriminate between glaucoma severity levels.

Methods : OCT-A images (Zeiss Cirrus 5000 HD-OCT) from 39 healthy subjects and 82 glaucoma patients (one eye per patient) were analysed with an in-house algorithm. The peripapillary microvascular density of six layers (superficial and deep vascular plexus, whole retina, avascular layer, choriocapillaris, and choroid) and seven sectors (Garway-Heath sectors plus circumpapillary region) were assessed. The circumpapillary RNFL thickness was also evaluated. Glaucomatous damage was categorized based on visual field mean deviation (mild above -6 dB, n=37; moderate between -6 and -12 dB, n=26 and severe worse than -12 dB, n=19). A group comparison with the Kruskal-Wallis test followed by the Mann-Whitney U test with Holm-Bonferroni correction for pairwise comparison were performed to infer the ability of each region to discriminate glaucoma severity levels.

Results : A significant difference (p≤0.001) was observed between the healthy and glaucoma groups for the circumpapillary RNFL and for the microvascular density in all sectors and layers, except for the avascular layer. The post-hoc analysis revealed no significant differences for the circumpapillary RNFL between moderate and severe glaucoma (p=0.38). In contrast, circumpapillary microvascular density in the superficial, deep and whole retina layers presented a significant difference between all severity groups (p≤0.001), including between moderate and severe glaucoma (p<0.05).The inferotemporal sector was the best at discriminating between controls, mild and moderate glaucoma, whereas the inferonasal sector was the best between moderate and severe glaucoma.

Conclusions : Peripapillary microvascular density is able to categorize glaucoma severity levels. The most discriminant region changes with increasing disease severity, shifting from the inferotemporal to the inferonasal sector.

This is a 2020 ARVO Annual Meeting abstract.

 

Figure 1 – Pairwise comparison of peripapillary microvascular density between severity groups for all layers and sectors by categorized p-values.

Figure 1 – Pairwise comparison of peripapillary microvascular density between severity groups for all layers and sectors by categorized p-values.

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