Sami Hosari1, Bettina Hohberger1, Luisa Theelke2, Hasan Sari3, Marianna Lucio4, Christian Y Mardin5. 1. Department of Ophthalmology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany. 2. Department of Computer Science 5, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany. 3. Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom. 4. Research Unit Analytical Biogeochemistry, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany. 5. Department of Ophthalmology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany, Christian.Mardin@uk-erlangen.de.
Abstract
AIM: The aim of the present study was to investigate the reliability of macular microvasculature measurements in normal subjects by Heidelberg Spectralis II optical coherence tomography angiography (OCT-A) in combination with a newly made software. SUBJECTS AND METHODS: This prospective study included 23 eyes of 23 persons from the Erlangen Glaucoma Registry (ISSN 2191-5008, CS-2011; NTC00494923). The subjects underwent a complete clinical, standardized ophthalmologic examination to rule out any eye disease. En face OCT-A imaging was done using Heidelberg Spectralis II OCT (Heidelberg, Germany). Images were recorded with a 15 × 15° angle and a lateral resolution of 5.7 µm/pixel, resulting in a retinal section of 2.9 × 2.9 mm. The Erlangen-Angio-Tool (EA-Tool) OCT-A application performed multiple segmentations, allowing analysis of the vessel density in 12 segments. The software was coded in MATLAB. Macular data on the superficial vascular plexus (SVP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP) were exported into the application and analyzed separately. The EA-Tool calculated the percentage of "white area" in the "total area" of the region of interest, called vessel density. Foveolar avascular zones (FAZs) of the SVP, ICP, and DCP were calculated manually. To investigate the reproducibility of the new software, individual scans (SVP, ICP, and DCP) were analyzed twice with the EA-Tool and intraclass coefficients (ICCs) of the vessel density values were calculated. Statistical analysis was performed with SPSS version 21.0. RESULTS: The mean vessel density of the SVP ranged between 30.4 and 33.5, that of the ICP between 20.9 and 24.7, and that of the DCP between 23.5 and 27.6. Bland-Altman plots showed a good reliability of two consecutive scans of each sector (S1-S12) in the SVP, ICP, and DCP. Testing reproducibility, no statistically significantly different sectorial coefficients of variation of the SVP, ICP, and DCP were observed (p > 0.05). The mean FAZ area of the SVP was 0.43 ± 0.16 mm2, that of the ICP 0.28 ± 0.1 mm2, and that of the DCP 0.44 ± 0.12 mm2. CONCLUSIONS: Spectralis OCT II, in combination with the semiautomated vessel density software EA-Tool, showed good or even excellent ICCs in 75% of all segments of the SVP, ICP, and DCP. The ICCs for the FAZ area in the SVP, ICP, and DCP were excellent.
AIM: The aim of the present study was to investigate the reliability of macular microvasculature measurements in normal subjects by Heidelberg Spectralis II optical coherence tomography angiography (OCT-A) in combination with a newly made software. SUBJECTS AND METHODS: This prospective study included 23 eyes of 23 persons from the Erlangen Glaucoma Registry (ISSN 2191-5008, CS-2011; NTC00494923). The subjects underwent a complete clinical, standardized ophthalmologic examination to rule out any eye disease. En face OCT-A imaging was done using Heidelberg Spectralis II OCT (Heidelberg, Germany). Images were recorded with a 15 × 15° angle and a lateral resolution of 5.7 µm/pixel, resulting in a retinal section of 2.9 × 2.9 mm. The Erlangen-Angio-Tool (EA-Tool) OCT-A application performed multiple segmentations, allowing analysis of the vessel density in 12 segments. The software was coded in MATLAB. Macular data on the superficial vascular plexus (SVP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP) were exported into the application and analyzed separately. The EA-Tool calculated the percentage of "white area" in the "total area" of the region of interest, called vessel density. Foveolar avascular zones (FAZs) of the SVP, ICP, and DCP were calculated manually. To investigate the reproducibility of the new software, individual scans (SVP, ICP, and DCP) were analyzed twice with the EA-Tool and intraclass coefficients (ICCs) of the vessel density values were calculated. Statistical analysis was performed with SPSS version 21.0. RESULTS: The mean vessel density of the SVP ranged between 30.4 and 33.5, that of the ICP between 20.9 and 24.7, and that of the DCP between 23.5 and 27.6. Bland-Altman plots showed a good reliability of two consecutive scans of each sector (S1-S12) in the SVP, ICP, and DCP. Testing reproducibility, no statistically significantly different sectorial coefficients of variation of the SVP, ICP, and DCP were observed (p > 0.05). The mean FAZ area of the SVP was 0.43 ± 0.16 mm2, that of the ICP 0.28 ± 0.1 mm2, and that of the DCP 0.44 ± 0.12 mm2. CONCLUSIONS: Spectralis OCT II, in combination with the semiautomated vessel density software EA-Tool, showed good or even excellent ICCs in 75% of all segments of the SVP, ICP, and DCP. The ICCs for the FAZ area in the SVP, ICP, and DCP were excellent.
Authors: Bettina Hohberger; Sami Hosari; Gerd Wallukat; Rudolf Kunze; Johann Krebs; Meike Müller; Till Hennig; Robert Lämmer; Folkert Horn; Luis E Muñoz; Martin Herrmann; Christian Mardin Journal: PLoS One Date: 2021-05-07 Impact factor: 3.240
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Authors: Olwen C Murphy; Grigorios Kalaitzidis; Eleni Vasileiou; Angeliki G Filippatou; Jeffrey Lambe; Henrik Ehrhardt; Nicole Pellegrini; Elias S Sotirchos; Nicholas J Luciano; Yihao Liu; Kathryn C Fitzgerald; Jerry L Prince; Peter A Calabresi; Shiv Saidha Journal: Front Neurol Date: 2020-12-15 Impact factor: 4.003
Authors: Lilian Aly; Christina Noll; Rebecca Wicklein; Elisabeth Wolf; Eva Feodora Romahn; Josphine Wauschkuhn; Sami Hosari; Christian Mardin; Achim Berthele; Bernhard Hemmer; Thomas Korn; Benjamin Knier Journal: Neurol Neuroimmunol Neuroinflamm Date: 2022-03-17
Authors: Khaldoon O Al-Nosairy; Gokulraj T Prabhakaran; Konstantinos Pappelis; Hagen Thieme; Michael B Hoffmann Journal: Transl Vis Sci Technol Date: 2020-11-02 Impact factor: 3.283
Authors: Bettina Hohberger; Marion Ganslmayer; Marianna Lucio; Friedrich Kruse; Jakob Hoffmanns; Michael Moritz; Lennart Rogge; Felix Heltmann; Charlotte Szewczykowski; Julia Fürst; Maximilian Raftis; Antonio Bergua; Matthias Zenkel; Andreas Gießl; Ursula Schlötzer-Schrehardt; Paul Lehmann; Richard Strauß; Christian Mardin; Martin Herrmann Journal: Front Med (Lausanne) Date: 2021-07-09