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Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization
To compare a simultaneously optimized continuous minimum rim surface parameter between Bruch’s membrane opening (BMO) and the internal limiting membrane to the standard sequential minimization used for calculating the BMO minimum rim area in spectral domain optical coherence tomography (SD-OCT). In...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654976/ https://www.ncbi.nlm.nih.gov/pubmed/29066838 http://dx.doi.org/10.1038/s41598-017-14284-1 |
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author | Enders, Philip Adler, Werner Schaub, Friederike Hermann, Manuel M. Diestelhorst, Michael Dietlein, Thomas Cursiefen, Claus Heindl, Ludwig M. |
author_facet | Enders, Philip Adler, Werner Schaub, Friederike Hermann, Manuel M. Diestelhorst, Michael Dietlein, Thomas Cursiefen, Claus Heindl, Ludwig M. |
author_sort | Enders, Philip |
collection | PubMed |
description | To compare a simultaneously optimized continuous minimum rim surface parameter between Bruch’s membrane opening (BMO) and the internal limiting membrane to the standard sequential minimization used for calculating the BMO minimum rim area in spectral domain optical coherence tomography (SD-OCT). In this case-control, cross-sectional study, 704 eyes of 445 participants underwent SD-OCT of the optic nerve head (ONH), visual field testing, and clinical examination. Globally and clock-hour sector-wise optimized BMO-based minimum rim area was calculated independently. Outcome parameters included BMO-globally optimized minimum rim area (BMO-gMRA) and sector-wise optimized BMO-minimum rim area (BMO-MRA). BMO area was 1.89 ± 0.05 mm(2). Mean global BMO-MRA was 0.97 ± 0.34 mm(2), mean global BMO-gMRA was 1.01 ± 0.36 mm(2). Both parameters correlated with r = 0.995 (P < 0.001); mean difference was 0.04 mm(2) (P < 0.001). In all sectors, parameters differed by 3.0–4.2%. In receiver operating characteristics, the calculated area under the curve (AUC) to differentiate glaucoma was 0.873 for BMO-MRA, compared to 0.866 for BMO-gMRA (P = 0.004). Among ONH sectors, the temporal inferior location showed the highest AUC. Optimization strategies to calculate BMO-based minimum rim area led to significantly different results. Imposing an additional adjacency constraint within calculation of BMO-MRA does not improve diagnostic power. Global and temporal inferior BMO-MRA performed best in differentiating glaucoma patients. |
format | Online Article Text |
id | pubmed-5654976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56549762017-10-31 Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization Enders, Philip Adler, Werner Schaub, Friederike Hermann, Manuel M. Diestelhorst, Michael Dietlein, Thomas Cursiefen, Claus Heindl, Ludwig M. Sci Rep Article To compare a simultaneously optimized continuous minimum rim surface parameter between Bruch’s membrane opening (BMO) and the internal limiting membrane to the standard sequential minimization used for calculating the BMO minimum rim area in spectral domain optical coherence tomography (SD-OCT). In this case-control, cross-sectional study, 704 eyes of 445 participants underwent SD-OCT of the optic nerve head (ONH), visual field testing, and clinical examination. Globally and clock-hour sector-wise optimized BMO-based minimum rim area was calculated independently. Outcome parameters included BMO-globally optimized minimum rim area (BMO-gMRA) and sector-wise optimized BMO-minimum rim area (BMO-MRA). BMO area was 1.89 ± 0.05 mm(2). Mean global BMO-MRA was 0.97 ± 0.34 mm(2), mean global BMO-gMRA was 1.01 ± 0.36 mm(2). Both parameters correlated with r = 0.995 (P < 0.001); mean difference was 0.04 mm(2) (P < 0.001). In all sectors, parameters differed by 3.0–4.2%. In receiver operating characteristics, the calculated area under the curve (AUC) to differentiate glaucoma was 0.873 for BMO-MRA, compared to 0.866 for BMO-gMRA (P = 0.004). Among ONH sectors, the temporal inferior location showed the highest AUC. Optimization strategies to calculate BMO-based minimum rim area led to significantly different results. Imposing an additional adjacency constraint within calculation of BMO-MRA does not improve diagnostic power. Global and temporal inferior BMO-MRA performed best in differentiating glaucoma patients. Nature Publishing Group UK 2017-10-24 /pmc/articles/PMC5654976/ /pubmed/29066838 http://dx.doi.org/10.1038/s41598-017-14284-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Enders, Philip Adler, Werner Schaub, Friederike Hermann, Manuel M. Diestelhorst, Michael Dietlein, Thomas Cursiefen, Claus Heindl, Ludwig M. Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization |
title | Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization |
title_full | Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization |
title_fullStr | Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization |
title_full_unstemmed | Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization |
title_short | Optimization Strategies for Bruch’s Membrane Opening Minimum Rim Area Calculation: Sequential versus Simultaneous Minimization |
title_sort | optimization strategies for bruch’s membrane opening minimum rim area calculation: sequential versus simultaneous minimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654976/ https://www.ncbi.nlm.nih.gov/pubmed/29066838 http://dx.doi.org/10.1038/s41598-017-14284-1 |
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