IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0205773.html
   My bibliography  Save this article

Comparison of methods to quantify macular and peripapillary vessel density in optical coherence tomography angiography

Author

Listed:
  • Alessandro Rabiolo
  • Francesco Gelormini
  • Riccardo Sacconi
  • Maria Vittoria Cicinelli
  • Giacinto Triolo
  • Paolo Bettin
  • Kouros Nouri-Mahdavi
  • Francesco Bandello
  • Giuseppe Querques

Abstract

Purpose: To compare macular and peripapillary vessel density values calculated on optical coherence tomography angiography (OCT-A) images with different algorithms, elaborate conversion formula, and compare the ability to discriminate healthy from affected eyes. Methods: Cross-sectional study of healthy subjects, patients with diabetic retinopathy, and glaucoma patients (44 eyes in each group). Vessel density in the macular superficial capillary plexus (SCP), deep capillary plexus (DCP), and the peripapillary radial capillary plexus (RCP) were calculated with seven previously published algorithms. Systemic differences, diagnostic properties, reliability, and agreement of the methods were investigated. Results: Healthy eyes exhibited higher vessel density values in all plexuses compared to diseased eyes regardless of the algorithm used (p

Suggested Citation

  • Alessandro Rabiolo & Francesco Gelormini & Riccardo Sacconi & Maria Vittoria Cicinelli & Giacinto Triolo & Paolo Bettin & Kouros Nouri-Mahdavi & Francesco Bandello & Giuseppe Querques, 2018. "Comparison of methods to quantify macular and peripapillary vessel density in optical coherence tomography angiography," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-20, October.
    • Handle: RePEc:plo:pone00:0205773
    DOI: 10.1371/journal.pone.0205773
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205773
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0205773&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0205773?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan Henrik Terheyden & Maximilian W M Wintergerst & Peyman Falahat & Moritz Berger & Frank G Holz & Robert P Finger, 2020. "Automated thresholding algorithms outperform manual thresholding in macular optical coherence tomography angiography image analysis," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-12, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0205773. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.