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Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study
PURPOSE: To investigate the efficacy of the geometric morphometrics method for the evaluation of retinal deformation in patients with epiretinal membrane (ERM) and determine whether the degree of deformation can serve as a predictive factor for postoperative visual outcome. METHODS: We retrospective...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896846/ https://www.ncbi.nlm.nih.gov/pubmed/36692457 http://dx.doi.org/10.1167/tvst.12.1.24 |
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author | Miyagi, Sugao Oishi, Akio Tsuiki, Eiko Kitaoka, Takashi |
author_facet | Miyagi, Sugao Oishi, Akio Tsuiki, Eiko Kitaoka, Takashi |
author_sort | Miyagi, Sugao |
collection | PubMed |
description | PURPOSE: To investigate the efficacy of the geometric morphometrics method for the evaluation of retinal deformation in patients with epiretinal membrane (ERM) and determine whether the degree of deformation can serve as a predictive factor for postoperative visual outcome. METHODS: We retrospectively evaluated data from 29 eyes of 29 patients with primary ERM. Preoperative optical coherence tomography images were compared with images of their normal fellow eyes using the geometric morphometrics thin-plate spline technique. Conventional parameters such as retinal layer thickness and previously reported indices were also measured. The correlation between the preoperative parameters and visual acuity was evaluated. Statistical comparisons were performed using a paired t-test, and associations between the optical coherence tomography image parameters and visual acuity were determined using Spearman's rank correlation coefficient. RESULTS: Bending energy, which was calculated using geometric morphometrics, was significantly associated with visual acuity as well as conventional optical coherence tomography parameters and previously reported indices. Multiple regression analysis showed that bending energy was an independent predictive factor for postoperative visual acuity changes. CONCLUSIONS: The geometric morphometrics method is an effective approach for evaluating the severity of ERM and predicting the efficacy of surgery. TRANSLATIONAL RELEVANCE: Geometric morphometrics can effectively evaluate retinal deformation in eyes with epiretinal membrane. |
format | Online Article Text |
id | pubmed-9896846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-98968462023-02-04 Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study Miyagi, Sugao Oishi, Akio Tsuiki, Eiko Kitaoka, Takashi Transl Vis Sci Technol Retina PURPOSE: To investigate the efficacy of the geometric morphometrics method for the evaluation of retinal deformation in patients with epiretinal membrane (ERM) and determine whether the degree of deformation can serve as a predictive factor for postoperative visual outcome. METHODS: We retrospectively evaluated data from 29 eyes of 29 patients with primary ERM. Preoperative optical coherence tomography images were compared with images of their normal fellow eyes using the geometric morphometrics thin-plate spline technique. Conventional parameters such as retinal layer thickness and previously reported indices were also measured. The correlation between the preoperative parameters and visual acuity was evaluated. Statistical comparisons were performed using a paired t-test, and associations between the optical coherence tomography image parameters and visual acuity were determined using Spearman's rank correlation coefficient. RESULTS: Bending energy, which was calculated using geometric morphometrics, was significantly associated with visual acuity as well as conventional optical coherence tomography parameters and previously reported indices. Multiple regression analysis showed that bending energy was an independent predictive factor for postoperative visual acuity changes. CONCLUSIONS: The geometric morphometrics method is an effective approach for evaluating the severity of ERM and predicting the efficacy of surgery. TRANSLATIONAL RELEVANCE: Geometric morphometrics can effectively evaluate retinal deformation in eyes with epiretinal membrane. The Association for Research in Vision and Ophthalmology 2023-01-24 /pmc/articles/PMC9896846/ /pubmed/36692457 http://dx.doi.org/10.1167/tvst.12.1.24 Text en Copyright 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Retina Miyagi, Sugao Oishi, Akio Tsuiki, Eiko Kitaoka, Takashi Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study |
title | Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study |
title_full | Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study |
title_fullStr | Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study |
title_full_unstemmed | Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study |
title_short | Geometric Morphometrics Can Predict Postoperative Visual Acuity Changes in Patients With Epiretinal Membrane: A Retrospective Study |
title_sort | geometric morphometrics can predict postoperative visual acuity changes in patients with epiretinal membrane: a retrospective study |
topic | Retina |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896846/ https://www.ncbi.nlm.nih.gov/pubmed/36692457 http://dx.doi.org/10.1167/tvst.12.1.24 |
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