Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses

Daniel Carson,* Sangyeol Lee,* Elsinore Alexander, Xin Wei, Shinwook Lee Alcon Research, Ltd., Fort Worth, TX, USA *These authors contributed equally to this work Purpose: Multifocal intraocular lenses (IOLs) can be associated with unwanted visual phenomena, including halos. Predicting potential...

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Autores principales: Carson D, Lee S, Alexander E, Wei X
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Lenguaje:EN
Publicado: Dove Medical Press 2018
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Acceso en línea:https://doaj.org/article/f5669837c7c542e5a2a07dbf245a4734
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spelling oai:doaj.org-article:f5669837c7c542e5a2a07dbf245a47342021-12-02T03:56:43ZComparison of two laboratory-based systems for evaluation of halos in intraocular lenses1177-5483https://doaj.org/article/f5669837c7c542e5a2a07dbf245a47342018-02-01T00:00:00Zhttps://www.dovepress.com/comparison-of-two-laboratory-based-systems-for-evaluation-of-halos-in--peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Daniel Carson,* Sangyeol Lee,* Elsinore Alexander, Xin Wei, Shinwook Lee Alcon Research, Ltd., Fort Worth, TX, USA *These authors contributed equally to this work Purpose: Multifocal intraocular lenses (IOLs) can be associated with unwanted visual phenomena, including halos. Predicting potential for halos is desirable when designing new multifocal IOLs. Halo images from 6 IOL models were compared using the Optikos modulation transfer function bench system and a new high dynamic range (HDR) system.Materials and methods: One monofocal, 1 extended depth of focus, and 4 multifocal IOLs were evaluated. An off-the-shelf optical bench was used to simulate a distant (>50 m) car headlight and record images. A custom HDR system was constructed using an imaging photometer to simulate headlight images and to measure quantitative halo luminance data. A metric was developed to characterize halo luminance properties. Clinical relevance was investigated by correlating halo measurements to visual outcomes questionnaire data.Results: The Optikos system produced halo images useful for visual comparisons; however, measurements were relative and not quantitative. The HDR halo system provided objective and quantitative measurements used to create a metric from the area under the curve (AUC) of the logarithmic normalized halo profile. This proposed metric differentiated between IOL models, and linear regression analysis found strong correlations between AUC and subjective clinical ratings of halos.Conclusion: The HDR system produced quantitative, preclinical metrics that correlated to patients’ subjective perception of halos. Keywords: visual disturbance, high dynamic range, quantitative metric, multifocal IOL Carson DLee SAlexander EWei XLee SDove Medical Pressarticlevisual disturbancehigh dynamic rangequantitative metricmultifocal IOLOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 12, Pp 385-393 (2018)
institution DOAJ
collection DOAJ
language EN
topic visual disturbance
high dynamic range
quantitative metric
multifocal IOL
Ophthalmology
RE1-994
spellingShingle visual disturbance
high dynamic range
quantitative metric
multifocal IOL
Ophthalmology
RE1-994
Carson D
Lee S
Alexander E
Wei X
Lee S
Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses
description Daniel Carson,* Sangyeol Lee,* Elsinore Alexander, Xin Wei, Shinwook Lee Alcon Research, Ltd., Fort Worth, TX, USA *These authors contributed equally to this work Purpose: Multifocal intraocular lenses (IOLs) can be associated with unwanted visual phenomena, including halos. Predicting potential for halos is desirable when designing new multifocal IOLs. Halo images from 6 IOL models were compared using the Optikos modulation transfer function bench system and a new high dynamic range (HDR) system.Materials and methods: One monofocal, 1 extended depth of focus, and 4 multifocal IOLs were evaluated. An off-the-shelf optical bench was used to simulate a distant (>50 m) car headlight and record images. A custom HDR system was constructed using an imaging photometer to simulate headlight images and to measure quantitative halo luminance data. A metric was developed to characterize halo luminance properties. Clinical relevance was investigated by correlating halo measurements to visual outcomes questionnaire data.Results: The Optikos system produced halo images useful for visual comparisons; however, measurements were relative and not quantitative. The HDR halo system provided objective and quantitative measurements used to create a metric from the area under the curve (AUC) of the logarithmic normalized halo profile. This proposed metric differentiated between IOL models, and linear regression analysis found strong correlations between AUC and subjective clinical ratings of halos.Conclusion: The HDR system produced quantitative, preclinical metrics that correlated to patients’ subjective perception of halos. Keywords: visual disturbance, high dynamic range, quantitative metric, multifocal IOL 
format article
author Carson D
Lee S
Alexander E
Wei X
Lee S
author_facet Carson D
Lee S
Alexander E
Wei X
Lee S
author_sort Carson D
title Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses
title_short Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses
title_full Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses
title_fullStr Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses
title_full_unstemmed Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses
title_sort comparison of two laboratory-based systems for evaluation of halos in intraocular lenses
publisher Dove Medical Press
publishDate 2018
url https://doaj.org/article/f5669837c7c542e5a2a07dbf245a4734
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