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Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure
PURPOSE: To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. METHODS: 121 PACG eyes were randomly...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711180/ https://www.ncbi.nlm.nih.gov/pubmed/34961542 http://dx.doi.org/10.1186/s12886-021-02213-w |
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author | Wu, Yuzhou Zhang, Shunhua Zhong, Yong Bian, Ailing Zhang, Yang Wang, Zaowen |
author_facet | Wu, Yuzhou Zhang, Shunhua Zhong, Yong Bian, Ailing Zhang, Yang Wang, Zaowen |
author_sort | Wu, Yuzhou |
collection | PubMed |
description | PURPOSE: To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. METHODS: 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. RESULTS: The coefficient of determination (R(2)) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula (R(2) = 0.50, P = 0.9947) Holladay 1 (R(2) = 0.12, P < 0.0001), SRK/T (R(2) = 0.11, P < 0.0001) and Haigis (R(2) = 0.06, P < 0.0001). CONCLUSION: Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. |
format | Online Article Text |
id | pubmed-8711180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87111802022-01-05 Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure Wu, Yuzhou Zhang, Shunhua Zhong, Yong Bian, Ailing Zhang, Yang Wang, Zaowen BMC Ophthalmol Research PURPOSE: To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. METHODS: 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. RESULTS: The coefficient of determination (R(2)) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula (R(2) = 0.50, P = 0.9947) Holladay 1 (R(2) = 0.12, P < 0.0001), SRK/T (R(2) = 0.11, P < 0.0001) and Haigis (R(2) = 0.06, P < 0.0001). CONCLUSION: Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested. BioMed Central 2021-12-27 /pmc/articles/PMC8711180/ /pubmed/34961542 http://dx.doi.org/10.1186/s12886-021-02213-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Wu, Yuzhou Zhang, Shunhua Zhong, Yong Bian, Ailing Zhang, Yang Wang, Zaowen Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure |
title | Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure |
title_full | Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure |
title_fullStr | Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure |
title_full_unstemmed | Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure |
title_short | Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure |
title_sort | prediction of effective lens position using anterior segment optical coherence tomography in chinese subjects with angle closure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8711180/ https://www.ncbi.nlm.nih.gov/pubmed/34961542 http://dx.doi.org/10.1186/s12886-021-02213-w |
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