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Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging

PURPOSE: To evaluate the influence of cataracts on measuring macular pigment optical density (MPOD) using a dual-wavelength confocal scanning autofluorescence imaging technique and to establish methods to compensate for the influence of cataracts. METHODS: This prospective case series comprised 100...

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Autores principales: Obana, Akira, Gohto, Yuko, Sasano, Hiroyuki, Gellermann, Werner, Sharifzadeh, Mohsen, Seto, Takahiko, Bernstein, Paul S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995481/
https://www.ncbi.nlm.nih.gov/pubmed/30025122
http://dx.doi.org/10.1167/iovs.17-23699
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author Obana, Akira
Gohto, Yuko
Sasano, Hiroyuki
Gellermann, Werner
Sharifzadeh, Mohsen
Seto, Takahiko
Bernstein, Paul S.
author_facet Obana, Akira
Gohto, Yuko
Sasano, Hiroyuki
Gellermann, Werner
Sharifzadeh, Mohsen
Seto, Takahiko
Bernstein, Paul S.
author_sort Obana, Akira
collection PubMed
description PURPOSE: To evaluate the influence of cataracts on measuring macular pigment optical density (MPOD) using a dual-wavelength confocal scanning autofluorescence imaging technique and to establish methods to compensate for the influence of cataracts. METHODS: This prospective case series comprised 100 eyes that underwent cataract surgery. Cataracts were graded based on the World Health Organization classification. MPOD levels were measured with the MPOD module of the Spectralis MultiColor instrument (Spectralis-MP), pre- and postoperatively. We investigated the relationship between change in MPOD values and age, cataract grade, and quality of autofluorescence images. Local MPOD levels were evaluated for four strategically chosen eccentricities within the macular region, and the total MPOD volume was evaluated within 8.98° eccentricity from the center. RESULTS: MPOD levels could be obtained in 67 eyes before surgery. Local and volume MPOD levels were higher postoperatively relative to preoperatively in all eyes. The mean ratio of local MPOD levels after and before surgery (correction factor, CF) ranged from 1.42 to 1.77, with larger CFs required for eccentricities closer to the foveal center. The CF for the MPOD volume was 1.31. Age, grade of nuclear cataract (NUC), posterior subcapsular opacity, and image quality index (IQI) significantly contributed to CFs. For example, regression equation for CF at 0.23° = 0.17 + 0.16 × IQI + 0.29 × NUC grade + 0.01 × age (P < 0.001). CONCLUSIONS: Cataracts affected MPOD measurements with the Spectralis-MP, but corrected MPOD results could be obtained via regression equations.
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spelling pubmed-59954812018-06-12 Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging Obana, Akira Gohto, Yuko Sasano, Hiroyuki Gellermann, Werner Sharifzadeh, Mohsen Seto, Takahiko Bernstein, Paul S. Invest Ophthalmol Vis Sci Retina PURPOSE: To evaluate the influence of cataracts on measuring macular pigment optical density (MPOD) using a dual-wavelength confocal scanning autofluorescence imaging technique and to establish methods to compensate for the influence of cataracts. METHODS: This prospective case series comprised 100 eyes that underwent cataract surgery. Cataracts were graded based on the World Health Organization classification. MPOD levels were measured with the MPOD module of the Spectralis MultiColor instrument (Spectralis-MP), pre- and postoperatively. We investigated the relationship between change in MPOD values and age, cataract grade, and quality of autofluorescence images. Local MPOD levels were evaluated for four strategically chosen eccentricities within the macular region, and the total MPOD volume was evaluated within 8.98° eccentricity from the center. RESULTS: MPOD levels could be obtained in 67 eyes before surgery. Local and volume MPOD levels were higher postoperatively relative to preoperatively in all eyes. The mean ratio of local MPOD levels after and before surgery (correction factor, CF) ranged from 1.42 to 1.77, with larger CFs required for eccentricities closer to the foveal center. The CF for the MPOD volume was 1.31. Age, grade of nuclear cataract (NUC), posterior subcapsular opacity, and image quality index (IQI) significantly contributed to CFs. For example, regression equation for CF at 0.23° = 0.17 + 0.16 × IQI + 0.29 × NUC grade + 0.01 × age (P < 0.001). CONCLUSIONS: Cataracts affected MPOD measurements with the Spectralis-MP, but corrected MPOD results could be obtained via regression equations. The Association for Research in Vision and Ophthalmology 2018-06 /pmc/articles/PMC5995481/ /pubmed/30025122 http://dx.doi.org/10.1167/iovs.17-23699 Text en Copyright 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Retina
Obana, Akira
Gohto, Yuko
Sasano, Hiroyuki
Gellermann, Werner
Sharifzadeh, Mohsen
Seto, Takahiko
Bernstein, Paul S.
Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging
title Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging
title_full Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging
title_fullStr Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging
title_full_unstemmed Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging
title_short Grade of Cataract and Its Influence on Measurement of Macular Pigment Optical Density Using Autofluorescence Imaging
title_sort grade of cataract and its influence on measurement of macular pigment optical density using autofluorescence imaging
topic Retina
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995481/
https://www.ncbi.nlm.nih.gov/pubmed/30025122
http://dx.doi.org/10.1167/iovs.17-23699
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