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Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography
PURPOSE: To evaluate the application of swept-source optical coherence tomography (SS-OCT) and pentacam scheimpflug tomography in posterior capsule opacification (PCO) severity assessment. METHODS: The posterior capsule image region segmentation and adaptive threshold algorithm are used to process t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324270/ https://www.ncbi.nlm.nih.gov/pubmed/37407917 http://dx.doi.org/10.1186/s12886-023-03064-3 |
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author | Zhou, Yu Xiang, Jing Xu, Fang Jiang, Ziyuan Liu, Fang |
author_facet | Zhou, Yu Xiang, Jing Xu, Fang Jiang, Ziyuan Liu, Fang |
author_sort | Zhou, Yu |
collection | PubMed |
description | PURPOSE: To evaluate the application of swept-source optical coherence tomography (SS-OCT) and pentacam scheimpflug tomography in posterior capsule opacification (PCO) severity assessment. METHODS: The posterior capsule image region segmentation and adaptive threshold algorithm are used to process the SS-OCT scanned image to obtain the posterior capsule thickness (PCT). Scheimpflug tomography reconstructed and analysized by image J software can obtain the average gray value and evaluate the effectiveness with the two methods. RESULT: One hundred sixty-two IOL eyes of 101 patients were divided into two groups, laser group (65 eyes) with the mean PCT was 8.0 ± 2.7 pixel unit and the mean gray value of the eyes was 66 ± 33 pixel unit. However, these figures in the control group (97 eyes) were 5.0 ± 0.9 and 11 ± 17. The sensitivity, specificity and area under curve(AUC) of SS-OCT PCT were 85%, 74% and 0.942,the sensitivity, specificity and AUC of Pentacam gray value were 91%, 76% and 0.947, respectively. After using the multivariable model of generalized estimation equation to corrected the dependence of subjects' eyes, it was found that SS-OCT PCT, Pentacam gray value, low vision quality of life questionnaire (LVQ questionnaire) for distance vision, and mobility and lighting dimension were significantly correlated with the PCO score (P = 0.012, P = 0.001, P = 0.005, respectively). CONCLUSION: The region segmentation and adaptive threshold algorithm of posterior capsule image will accurately quantify the posterior capsule. Computer aided quantifications of posterior capsule are of great significance in the early surgical decision-making of PCO. The average occurrence time of most PCO was around 34 months, and the severity of PCO worsened with increasing postoperative time. |
format | Online Article Text |
id | pubmed-10324270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103242702023-07-07 Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography Zhou, Yu Xiang, Jing Xu, Fang Jiang, Ziyuan Liu, Fang BMC Ophthalmol Research PURPOSE: To evaluate the application of swept-source optical coherence tomography (SS-OCT) and pentacam scheimpflug tomography in posterior capsule opacification (PCO) severity assessment. METHODS: The posterior capsule image region segmentation and adaptive threshold algorithm are used to process the SS-OCT scanned image to obtain the posterior capsule thickness (PCT). Scheimpflug tomography reconstructed and analysized by image J software can obtain the average gray value and evaluate the effectiveness with the two methods. RESULT: One hundred sixty-two IOL eyes of 101 patients were divided into two groups, laser group (65 eyes) with the mean PCT was 8.0 ± 2.7 pixel unit and the mean gray value of the eyes was 66 ± 33 pixel unit. However, these figures in the control group (97 eyes) were 5.0 ± 0.9 and 11 ± 17. The sensitivity, specificity and area under curve(AUC) of SS-OCT PCT were 85%, 74% and 0.942,the sensitivity, specificity and AUC of Pentacam gray value were 91%, 76% and 0.947, respectively. After using the multivariable model of generalized estimation equation to corrected the dependence of subjects' eyes, it was found that SS-OCT PCT, Pentacam gray value, low vision quality of life questionnaire (LVQ questionnaire) for distance vision, and mobility and lighting dimension were significantly correlated with the PCO score (P = 0.012, P = 0.001, P = 0.005, respectively). CONCLUSION: The region segmentation and adaptive threshold algorithm of posterior capsule image will accurately quantify the posterior capsule. Computer aided quantifications of posterior capsule are of great significance in the early surgical decision-making of PCO. The average occurrence time of most PCO was around 34 months, and the severity of PCO worsened with increasing postoperative time. BioMed Central 2023-07-05 /pmc/articles/PMC10324270/ /pubmed/37407917 http://dx.doi.org/10.1186/s12886-023-03064-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhou, Yu Xiang, Jing Xu, Fang Jiang, Ziyuan Liu, Fang Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography |
title | Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography |
title_full | Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography |
title_fullStr | Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography |
title_full_unstemmed | Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography |
title_short | Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography |
title_sort | objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324270/ https://www.ncbi.nlm.nih.gov/pubmed/37407917 http://dx.doi.org/10.1186/s12886-023-03064-3 |
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