Achim Langenbucher, Nóra Szentmáry, Alan Cayless, David Cooke, Peter Hoffmann, Jascha Wendelstein
{"title":"利用生物统计学输入数据的不确定性和功率标签公差，预测散光晶体植入术后的屈光误差。","authors":"Achim Langenbucher, Nóra Szentmáry, Alan Cayless, David Cooke, Peter Hoffmann, Jascha Wendelstein","doi":"10.1111/ceo.14449","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The purpose of this study was to simulate the impact of biometric measure uncertainties, lens equivalent and toric power labelling tolerances and axis alignment errors on the refractive outcome after cataract surgery with toric lens implantation.</p><p><strong>Methods: </strong>In this retrospective non-randomised cross sectional Monte-Carlo simulation study we evaluated a dataset containing 7458 LenStar 900 preoperative biometric measurements. The biometric uncertainties from literature, lens power labelling according to ISO 11979, and axis alignment tolerances of a modern toric lens (Hoya Vivinex) were taken to be normally distributed and used in a Monte-Carlo simulation with 100 000 samples per eye. The target variable was the defocus equivalent (DEQ) derived using the Castrop (DEQ<sub>C</sub>) and the Haigis (DEQ<sub>H</sub>) formulae.</p><p><strong>Results: </strong>Mean/median / 90% quantile DEQ<sub>C</sub> was 0.22/0.21/0.36 D and DEQ<sub>H</sub> was 0.20/0.19/0.32 D. Ignoring the variation in lens power labelling and toric axis alignment the respective DEQ<sub>C</sub> was 0.20/0.19/0.32 D and DEQ<sub>H</sub> was 0.18/0.17/0.29 D. DEQ<sub>C</sub> and DEQ<sub>H</sub> increased with shorter eyes, steeper corneas, equivalent lens power and highly with toric lens power.</p><p><strong>Conclusions: </strong>According to our simulation results, uncertainties in biometric measures, lens power labelling tolerances, and axis alignment errors are responsible for a significant part of the refraction prediction error after cataract surgery with toric lens implantation. Additional labelling of the exact equivalent and toric power on the lens package could be a step to improve postoperative results.</p>","PeriodicalId":55253,"journal":{"name":"Clinical and Experimental Ophthalmology","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of refraction error after toric lens implantation with biometric input data uncertainties and power labelling tolerances.\",\"authors\":\"Achim Langenbucher, Nóra Szentmáry, Alan Cayless, David Cooke, Peter Hoffmann, Jascha Wendelstein\",\"doi\":\"10.1111/ceo.14449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The purpose of this study was to simulate the impact of biometric measure uncertainties, lens equivalent and toric power labelling tolerances and axis alignment errors on the refractive outcome after cataract surgery with toric lens implantation.</p><p><strong>Methods: </strong>In this retrospective non-randomised cross sectional Monte-Carlo simulation study we evaluated a dataset containing 7458 LenStar 900 preoperative biometric measurements. The biometric uncertainties from literature, lens power labelling according to ISO 11979, and axis alignment tolerances of a modern toric lens (Hoya Vivinex) were taken to be normally distributed and used in a Monte-Carlo simulation with 100 000 samples per eye. The target variable was the defocus equivalent (DEQ) derived using the Castrop (DEQ<sub>C</sub>) and the Haigis (DEQ<sub>H</sub>) formulae.</p><p><strong>Results: </strong>Mean/median / 90% quantile DEQ<sub>C</sub> was 0.22/0.21/0.36 D and DEQ<sub>H</sub> was 0.20/0.19/0.32 D. Ignoring the variation in lens power labelling and toric axis alignment the respective DEQ<sub>C</sub> was 0.20/0.19/0.32 D and DEQ<sub>H</sub> was 0.18/0.17/0.29 D. DEQ<sub>C</sub> and DEQ<sub>H</sub> increased with shorter eyes, steeper corneas, equivalent lens power and highly with toric lens power.</p><p><strong>Conclusions: </strong>According to our simulation results, uncertainties in biometric measures, lens power labelling tolerances, and axis alignment errors are responsible for a significant part of the refraction prediction error after cataract surgery with toric lens implantation. Additional labelling of the exact equivalent and toric power on the lens package could be a step to improve postoperative results.</p>\",\"PeriodicalId\":55253,\"journal\":{\"name\":\"Clinical and Experimental Ophthalmology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Experimental Ophthalmology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/ceo.14449\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPHTHALMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Experimental Ophthalmology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/ceo.14449","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
Prediction of refraction error after toric lens implantation with biometric input data uncertainties and power labelling tolerances.
Background: The purpose of this study was to simulate the impact of biometric measure uncertainties, lens equivalent and toric power labelling tolerances and axis alignment errors on the refractive outcome after cataract surgery with toric lens implantation.
Methods: In this retrospective non-randomised cross sectional Monte-Carlo simulation study we evaluated a dataset containing 7458 LenStar 900 preoperative biometric measurements. The biometric uncertainties from literature, lens power labelling according to ISO 11979, and axis alignment tolerances of a modern toric lens (Hoya Vivinex) were taken to be normally distributed and used in a Monte-Carlo simulation with 100 000 samples per eye. The target variable was the defocus equivalent (DEQ) derived using the Castrop (DEQC) and the Haigis (DEQH) formulae.
Results: Mean/median / 90% quantile DEQC was 0.22/0.21/0.36 D and DEQH was 0.20/0.19/0.32 D. Ignoring the variation in lens power labelling and toric axis alignment the respective DEQC was 0.20/0.19/0.32 D and DEQH was 0.18/0.17/0.29 D. DEQC and DEQH increased with shorter eyes, steeper corneas, equivalent lens power and highly with toric lens power.
Conclusions: According to our simulation results, uncertainties in biometric measures, lens power labelling tolerances, and axis alignment errors are responsible for a significant part of the refraction prediction error after cataract surgery with toric lens implantation. Additional labelling of the exact equivalent and toric power on the lens package could be a step to improve postoperative results.
期刊介绍：
Clinical & Experimental Ophthalmology is the official journal of The Royal Australian and New Zealand College of Ophthalmologists. The journal publishes peer-reviewed original research and reviews dealing with all aspects of clinical practice and research which are international in scope and application. CEO recognises the importance of collaborative research and welcomes papers that have a direct influence on ophthalmic practice but are not unique to ophthalmology.
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