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      Ellipsoid Zone Defects in Retinal Vein Occlusion Correlates With Visual Acuity Prognosis: SCORE2 Report 14

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          Abstract

          Purpose

          To evaluate the association between ellipsoid zone (EZ) on spectral domain optical coherence tomography (SD-OCT) and visual acuity letter score (VALS) in participants with retinal vein occlusion in the Study of Comparative Treatments for Retinal Vein Occlusion 2.

          Methods

          SD-OCT scans of 362 participants were qualitatively assessed at baseline and months 1, 6, 12, and 24 for EZ status as normal, patchy, or absent. The thickness of EZ layer in the central subfield was also obtained using machine learning.

          Results

          EZ assessments were not possible at baseline due to signal blockage in >75% of eyes. At month 1, EZ was normal in 37.6%, patchy in 48.1%, and absent in 14.3%. EZ was measurable in 48.7% with a mean area of 0.07 ± 0.16 mm 2. Mean VALS was better in eyes without an EZ defect compared to eyes with an EZ defect ( P < 0.0001 at all visits). EZ defect at month 1 was associated with poorer VALS at all follow-up visits ( P < 0.0001).

          Conclusions

          Both qualitative and quantitative assessments of EZ status strongly correlated with VALS. Absence of EZ was associated with poorer VALS at both corresponding and future visits, with larger areas of EZ loss associated with worse VALS.

          Translational Relevance

          Assessment of EZ can be used to identify patients with potentially poor response in eyes with retinal vein occlusion.

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          Most cited references31

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.

            State-of-the-art light and electron microscopes are capable of acquiring large image datasets, but quantitatively evaluating the data often involves manually annotating structures of interest. This process is time-consuming and often a major bottleneck in the evaluation pipeline. To overcome this problem, we have introduced the Trainable Weka Segmentation (TWS), a machine learning tool that leverages a limited number of manual annotations in order to train a classifier and segment the remaining data automatically. In addition, TWS can provide unsupervised segmentation learning schemes (clustering) and can be customized to employ user-designed image features or classifiers.
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              Anatomical correlates to the bands seen in the outer retina by optical coherence tomography: literature review and model.

              To evaluate the validity of commonly used anatomical designations for the four hyperreflective outer retinal bands seen in current-generation optical coherence tomography, a scale model of outer retinal morphology was created using published information for direct comparison with optical coherence tomography scans. Articles and books concerning histology of the outer retina from 1900 until 2009 were evaluated, and data were used to create a scale model drawing. Boundaries between outer retinal tissue compartments described by the model were compared with intensity variations of representative spectral-domain optical coherence tomography scans using longitudinal reflectance profiles to determine the region of origin of the hyperreflective outer retinal bands. This analysis showed a high likelihood that the spectral-domain optical coherence tomography bands attributed to the external limiting membrane (the first, innermost band) and to the retinal pigment epithelium (the fourth, outermost band) are correctly attributed. Comparative analysis showed that the second band, often attributed to the boundary between inner and outer segments of the photoreceptors, actually aligns with the ellipsoid portion of the inner segments. The third band corresponded to an ensheathment of the cone outer segments by apical processes of the retinal pigment epithelium in a structure known as the contact cylinder. Anatomical attributions and subsequent pathophysiologic assessments pertaining to the second and third outer retinal hyperreflective bands may not be correct. This analysis has identified testable hypotheses for the actual correlates of the second and third bands. Nonretinal pigment epithelium contributions to the fourth band (e.g., Bruch membrane) remain to be determined.
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                Author and article information

                Journal
                Transl Vis Sci Technol
                Transl Vis Sci Technol
                tvst
                TVST
                Translational Vision Science & Technology
                The Association for Research in Vision and Ophthalmology
                2164-2591
                26 March 2021
                March 2021
                : 10
                : 3
                : 31
                Affiliations
                [1 ]Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
                [2 ]Laboratory for Optical and Computational Instrumentation, Center for Quantitative Cell Imaging, University of Wisconsin-Madison, Madison, WI, USA
                [3 ]KNIME GmbH, Konstanz, Germany
                [4 ]The Emmes Company, LLC, Rockville, MD, USA
                [5 ]Departments of Ophthalmology and Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
                [6 ]Doheny Eye Institute, University of California Los Angeles Stein Eye Institute, Los Angeles, CA, USA
                [7 ]McPherson Eye Research Institute, University of Wisconsin-Madison, Madison, WI, USA
                [8 ]Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
                Author notes
                [* ] Correspondence: Amitha Domalpally, Fundus Photograph Reading Center, Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, 310 N. Midvale Blvd, Suite 205, Madison, WI 53705, USA. e-mail: domalpally@ 123456wisc.edu
                Article
                TVST-20-3048
                10.1167/tvst.10.3.31
                7998009
                34003964
                41492a3d-2333-4013-904d-329b2c66db4d
                Copyright 2021 The Authors

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 28 December 2020
                : 23 September 2020
                Page count
                Pages: 9
                Categories
                Article
                Article

                anti-vegf,semiautomated,machine learning,ellipsoid zone,macular edema,optical coherence tomography,retinal vein occlusion

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