Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models

Lin He,1 Xin Hong,2 Rajaraman Suryakumar,2 Ramesh Sarangapani2 1Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; 2Alcon Research LLC, Fort Worth, TX, USACorrespondence: Lin HeDepartment of Pathology, University of Texas Southwestern Medical Center, 5323 Harr...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	He L, Hong X, Suryakumar R, Sarangapani R
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2020
Materias:	light-in-the-bucket modulation transfer function pseudophakic eye model Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/4bc7b703037d494eb25de640aec62fb8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4bc7b703037d494eb25de640aec62fb8
record_format	dspace
spelling	oai:doaj.org-article:4bc7b703037d494eb25de640aec62fb82021-12-02T10:40:57ZMetric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models1177-5483https://doaj.org/article/4bc7b703037d494eb25de640aec62fb82020-12-01T00:00:00Zhttps://www.dovepress.com/metric-based-visual-acuity-and-defocus-curve-simulation-of-two-multifo-peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Lin He,1 Xin Hong,2 Rajaraman Suryakumar,2 Ramesh Sarangapani2 1Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; 2Alcon Research LLC, Fort Worth, TX, USACorrespondence: Lin HeDepartment of Pathology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USATel +1-817-302-5666Email retinoblastoma13q14@gmail.comPurpose: To predict clinical defocus curve performance of the PanOptix intraocular lens (IOL) model TFNT00, a population-based image quality metric was applied to a pseudophakic eye model.Methods: Visual acuity (VA) was simulated using a 2-surface reduced eye model. For each virtual eye, the derived corneal surface was combined with scaled IOL surface. Corneal power and aberration, anterior chamber depth, and pupil size were iterated using a Monte-Carlo approach. Image quality of the IOLs was assessed using the total aberration map to compute the amplitude point spread function. A diffraction-normalized light-in-the-bucket metric was calculated for each virtual eye for defocuses from − 3.5 D to +1.0 D (step size 0.25 D) and transformed to VAs and defocus curves. Simulated VA for the ReSTOR +3.0 D lens was used to generate a calibration function by linear regression correlation of simulated data with clinical VA data. Simulated TFNT00 VA was then validated by comparing defocus curves to clinical TFNT00 data.Results: From − 3.5 D to +1.0 D, the simulated defocus curve was generally consistent with the defocus curve from the TFNT00 clinical trial. The mean absolute difference was 0.022 logMAR (&sim; 1 letter) for simulated VA versus clinical trial VA.Conclusion: IOL image quality can be assessed using a population-based virtual eye model to simulate VA and predict clinical performance. Computational modeling and simulation can be applied to future IOL development before clinical trials are conducted.Keywords: light-in-the-bucket, modulation transfer function, pseudophakic eye modelHe LHong XSuryakumar RSarangapani RDove Medical Pressarticlelight-in-the-bucketmodulation transfer functionpseudophakic eye modelOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 14, Pp 4579-4586 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	light-in-the-bucket modulation transfer function pseudophakic eye model Ophthalmology RE1-994
spellingShingle	light-in-the-bucket modulation transfer function pseudophakic eye model Ophthalmology RE1-994 He L Hong X Suryakumar R Sarangapani R Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models
description	Lin He,1 Xin Hong,2 Rajaraman Suryakumar,2 Ramesh Sarangapani2 1Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA; 2Alcon Research LLC, Fort Worth, TX, USACorrespondence: Lin HeDepartment of Pathology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USATel +1-817-302-5666Email retinoblastoma13q14@gmail.comPurpose: To predict clinical defocus curve performance of the PanOptix intraocular lens (IOL) model TFNT00, a population-based image quality metric was applied to a pseudophakic eye model.Methods: Visual acuity (VA) was simulated using a 2-surface reduced eye model. For each virtual eye, the derived corneal surface was combined with scaled IOL surface. Corneal power and aberration, anterior chamber depth, and pupil size were iterated using a Monte-Carlo approach. Image quality of the IOLs was assessed using the total aberration map to compute the amplitude point spread function. A diffraction-normalized light-in-the-bucket metric was calculated for each virtual eye for defocuses from − 3.5 D to +1.0 D (step size 0.25 D) and transformed to VAs and defocus curves. Simulated VA for the ReSTOR +3.0 D lens was used to generate a calibration function by linear regression correlation of simulated data with clinical VA data. Simulated TFNT00 VA was then validated by comparing defocus curves to clinical TFNT00 data.Results: From − 3.5 D to +1.0 D, the simulated defocus curve was generally consistent with the defocus curve from the TFNT00 clinical trial. The mean absolute difference was 0.022 logMAR (&sim; 1 letter) for simulated VA versus clinical trial VA.Conclusion: IOL image quality can be assessed using a population-based virtual eye model to simulate VA and predict clinical performance. Computational modeling and simulation can be applied to future IOL development before clinical trials are conducted.Keywords: light-in-the-bucket, modulation transfer function, pseudophakic eye model
format	article
author	He L Hong X Suryakumar R Sarangapani R
author_facet	He L Hong X Suryakumar R Sarangapani R
author_sort	He L
title	Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models
title_short	Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models
title_full	Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models
title_fullStr	Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models
title_full_unstemmed	Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models
title_sort	metric-based visual acuity and defocus curve simulation of two multifocal intraocular lens models
publisher	Dove Medical Press
publishDate	2020
url	https://doaj.org/article/4bc7b703037d494eb25de640aec62fb8
work_keys_str_mv	AT hel metricbasedvisualacuityanddefocuscurvesimulationoftwomultifocalintraocularlensmodels AT hongx metricbasedvisualacuityanddefocuscurvesimulationoftwomultifocalintraocularlensmodels AT suryakumarr metricbasedvisualacuityanddefocuscurvesimulationoftwomultifocalintraocularlensmodels AT sarangapanir metricbasedvisualacuityanddefocuscurvesimulationoftwomultifocalintraocularlensmodels
_version_	1718396824260182016

Metric-Based Visual Acuity and Defocus Curve Simulation of Two Multifocal Intraocular Lens Models

Ejemplares similares