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

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          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<0.01). The estimated vessel densities were significantly different at all the plexuses (p<0.0001) as a function of method used. Inter-method reliability and agreement was mostly poor to moderate. A conversion formula was available for every method, except for the conversion between multilevel and fixed at the DCP. Substantial systemic, non-constant biases were evident between many algorithms. No algorithm outperformed the others for discrimination of patients from healthy subjects in all the retinal plexuses, but the best performing algorithm varied with the selected plexus.

          Conclusions

          Absolute vessel density values calculated with different algorithms are not directly interchangeable. Differences between healthy and affected eyes could be appreciated with all methods with different discriminatory abilities as a function of the plexus analyzed. Longitudinal monitoring of vessel density should be performed with the same algorithm. Studies adopting vessel density as an outcome measure should not rely on external normative databases.

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          Most cited references32

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          Quantification of Retinal Microvascular Density in Optical Coherence Tomographic Angiography Images in Diabetic Retinopathy.

          Quantitative measurements based on optical coherence tomographic angiography (OCTA) may have value in managing diabetic retinopathy (DR), but there is limited information on the ability of OCTA to distinguish eyes with DR.
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            Retinal Capillary Density and Foveal Avascular Zone Area Are Age-Dependent: Quantitative Analysis Using Optical Coherence Tomography Angiography.

            The purpose of this study was to quantify retinal capillary density and the foveal avascular zone (FAZ) area in normal subjects according to age, using optical coherence tomography angiography (OCTA).
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              Quantitative Analysis of Three Distinct Retinal Capillary Plexuses in Healthy Eyes Using Optical Coherence Tomography Angiography.

              To identify and quantify the three distinct retinal capillary plexuses and the foveal avascular zone (FAZ) in healthy subjects according to age using optical coherence tomography angiography (OCTA) with novel projection artifact removal (PAR) software and improved segmentation.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: Writing – original draft
                Role: Investigation
                Role: Formal analysisRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 October 2018
                2018
                : 13
                : 10
                : e0205773
                Affiliations
                [1 ] Department of Ophthalmology, University Vita-Salute, IRCCS San Raffaele, Milan, Italy
                [2 ] Stein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America
                [3 ] Eye Clinic, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
                Singapore National Eye Centre, SINGAPORE
                Author notes

                Competing Interests: Kouros Nouri-Mahdavi: Heidelberg Engineering (F,R). Giuseppe Querques is consultant for: Alimera Sciences, Allergan Inc, Bayer Shering-Pharma, Fidia-Sooft, Heidelberg, KHB, Lumithera, Novartis, Roche, Sandoz (Berlin, Germany), Topcon, Zeiss. Francesco Bandello has the following disclosures: Allergan (S), Alimera (S), Bayer (S), Farmila-Thea (S), Schering Pharma (S), Sanofi-Aventis (S), Novagali (S), Pharma (S), Hoffmann-La Roche (S), Genentech (S), Novartis (S). This does not alter our adherence to PLOS ONE policies on sharing data and material.

                Author information
                http://orcid.org/0000-0002-3292-9581
                Article
                PONE-D-18-19226
                10.1371/journal.pone.0205773
                6193681
                30335815
                af311529-bba6-4321-a71c-2578516d8231
                © 2018 Rabiolo et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 June 2018
                : 27 September 2018
                Page count
                Figures: 7, Tables: 6, Pages: 20
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Physical Sciences
                Mathematics
                Applied Mathematics
                Algorithms
                Research and Analysis Methods
                Simulation and Modeling
                Algorithms
                Biology and Life Sciences
                Anatomy
                Head
                Eyes
                Medicine and Health Sciences
                Anatomy
                Head
                Eyes
                Biology and Life Sciences
                Anatomy
                Ocular System
                Eyes
                Medicine and Health Sciences
                Anatomy
                Ocular System
                Eyes
                Medicine and Health Sciences
                Ophthalmology
                Eye Diseases
                Glaucoma
                Biology and Life Sciences
                Anatomy
                Cardiovascular Anatomy
                Blood Vessels
                Capillaries
                Medicine and Health Sciences
                Anatomy
                Cardiovascular Anatomy
                Blood Vessels
                Capillaries
                Physical Sciences
                Mathematics
                Geometry
                Packing Density
                Research and Analysis Methods
                Imaging Techniques
                Medicine and Health Sciences
                Ophthalmology
                Retinal Disorders
                Retinopathy
                Diabetic Retinopathy
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Custom metadata
                All relevant data are within the paper and its Supporting Information file. We have now included 4 supplementary databases in our revised manuscript. File S1 is a general database with demographic and clinical data. Files S2, S3, and S4 show the processed OCT-A data for the macular SCP, macular DCP, and peripapillary RCP.

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                Uncategorized

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