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Predicting Residual Astigmatism in Cataract Surgery
The purpose of this review is to evaluate the prediction of postoperative residual astigmatism and to determine the best prediction method for astigmatism correction. In recent findings for residual astigmatism in non-toric monofocal intraocular lens (IOL) implanted eyes, vector analysis can be used...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785719/ https://www.ncbi.nlm.nih.gov/pubmed/36548932 http://dx.doi.org/10.3390/vision6040070 |
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author | Kawahara, Atsushi |
author_facet | Kawahara, Atsushi |
author_sort | Kawahara, Atsushi |
collection | PubMed |
description | The purpose of this review is to evaluate the prediction of postoperative residual astigmatism and to determine the best prediction method for astigmatism correction. In recent findings for residual astigmatism in non-toric monofocal intraocular lens (IOL) implanted eyes, vector analysis can be used to correctly evaluate residual astigmatism by decomposing it. In predicting residual astigmatism, the with-the-rule (WTR) and against-the-rule (ATR) astigmatism components can now be almost predicted. This may be due to advances in inspection equipment and surgical technique. However, there are still issues with the oblique astigmatism component. In addition, corneal astigmatism is the most important predictor of postoperative residual astigmatism, and other predictors, such as refractive astigmatism, age, and lens thickness, have also been mentioned. However, all but corneal astigmatism are questionable because of the possibility of confounding variables. Total corneal astigmatism is more accurate in predicting residual astigmatism than anterior corneal astigmatism. Several predictions of residual astigmatism have been reported, but complete prediction has not been possible. Further research is needed, especially in predicting oblique astigmatism. However, I emphasize that the accuracy of predicting WTR and ATR astigmatism has improved considerably and can be predicted using regression equations with total corneal astigmatism. |
format | Online Article Text |
id | pubmed-9785719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97857192022-12-24 Predicting Residual Astigmatism in Cataract Surgery Kawahara, Atsushi Vision (Basel) Review The purpose of this review is to evaluate the prediction of postoperative residual astigmatism and to determine the best prediction method for astigmatism correction. In recent findings for residual astigmatism in non-toric monofocal intraocular lens (IOL) implanted eyes, vector analysis can be used to correctly evaluate residual astigmatism by decomposing it. In predicting residual astigmatism, the with-the-rule (WTR) and against-the-rule (ATR) astigmatism components can now be almost predicted. This may be due to advances in inspection equipment and surgical technique. However, there are still issues with the oblique astigmatism component. In addition, corneal astigmatism is the most important predictor of postoperative residual astigmatism, and other predictors, such as refractive astigmatism, age, and lens thickness, have also been mentioned. However, all but corneal astigmatism are questionable because of the possibility of confounding variables. Total corneal astigmatism is more accurate in predicting residual astigmatism than anterior corneal astigmatism. Several predictions of residual astigmatism have been reported, but complete prediction has not been possible. Further research is needed, especially in predicting oblique astigmatism. However, I emphasize that the accuracy of predicting WTR and ATR astigmatism has improved considerably and can be predicted using regression equations with total corneal astigmatism. MDPI 2022-11-24 /pmc/articles/PMC9785719/ /pubmed/36548932 http://dx.doi.org/10.3390/vision6040070 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kawahara, Atsushi Predicting Residual Astigmatism in Cataract Surgery |
title | Predicting Residual Astigmatism in Cataract Surgery |
title_full | Predicting Residual Astigmatism in Cataract Surgery |
title_fullStr | Predicting Residual Astigmatism in Cataract Surgery |
title_full_unstemmed | Predicting Residual Astigmatism in Cataract Surgery |
title_short | Predicting Residual Astigmatism in Cataract Surgery |
title_sort | predicting residual astigmatism in cataract surgery |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785719/ https://www.ncbi.nlm.nih.gov/pubmed/36548932 http://dx.doi.org/10.3390/vision6040070 |
work_keys_str_mv | AT kawaharaatsushi predictingresidualastigmatismincataractsurgery |