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Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique

PURPOSE: It is essential to have an appropriate measure to assess macular pigment (MP) that can provide an accurate, valid, and reliable representation of the MP within the macula. The aim of this study was to describe and introduce MP optical volume (MPOV) as an optimal value for reporting MP. METH...

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Autores principales: Green-Gomez, Marina, Bernstein, Paul S., Curcio, Christine A., Moran, Rachel, Roche, Warren, Nolan, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6922273/
https://www.ncbi.nlm.nih.gov/pubmed/31867142
http://dx.doi.org/10.1167/tvst.8.6.41
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author Green-Gomez, Marina
Bernstein, Paul S.
Curcio, Christine A.
Moran, Rachel
Roche, Warren
Nolan, John M.
author_facet Green-Gomez, Marina
Bernstein, Paul S.
Curcio, Christine A.
Moran, Rachel
Roche, Warren
Nolan, John M.
author_sort Green-Gomez, Marina
collection PubMed
description PURPOSE: It is essential to have an appropriate measure to assess macular pigment (MP) that can provide an accurate, valid, and reliable representation of the MP within the macula. The aim of this study was to describe and introduce MP optical volume (MPOV) as an optimal value for reporting MP. METHODS: Three hundred ninety-three subjects were analyzed using the Heidelberg Spectralis with the investigational MP optical density (MPOD) module to measure MPOV and MPOD at four foveal eccentricities (0.23°, 0.51°, 0.98°, 1.76° [7° as reference point]). Lutein (L) and zeaxanthin (Z) dietary intake and serum concentrations were evaluated. RESULTS: MPOV mean was 5094 (95%CI, 4877–5310); range: 527 to 10,652. MPOV was inversely correlated with body mass index and positively correlated with education (r = −0.156, P = 0.002 and r = 0.124, P = 0.014, respectively). Serum concentrations of L and Z were positively correlated with MPOV (r = 0.422, P < 0.001 and r = 0.285, P < 0.001, respectively). MPOV was positively correlated to MPOD at all measured eccentricities, with the strongest agreement at 1.76° (r = 0.906, P < 0.001). Serum concentrations of L and Z, BMI, education, and age (P < 0.001) were found to be significant predictors of MPOV. CONCLUSIONS: The Spectralis MPOV measurement provided a comprehensive and detailed evaluation of the MP profile. The Spectralis MPOV should be considered a preferred metric for the assessment of MP. TRANSLATIONAL RELEVANCE: Applying a standardized method for the assessment and report of MP will allow to fully derive meaning from observational studies and to successfully implement this MP measurement technique in research and clinical settings.
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spelling pubmed-69222732019-12-20 Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique Green-Gomez, Marina Bernstein, Paul S. Curcio, Christine A. Moran, Rachel Roche, Warren Nolan, John M. Transl Vis Sci Technol Articles PURPOSE: It is essential to have an appropriate measure to assess macular pigment (MP) that can provide an accurate, valid, and reliable representation of the MP within the macula. The aim of this study was to describe and introduce MP optical volume (MPOV) as an optimal value for reporting MP. METHODS: Three hundred ninety-three subjects were analyzed using the Heidelberg Spectralis with the investigational MP optical density (MPOD) module to measure MPOV and MPOD at four foveal eccentricities (0.23°, 0.51°, 0.98°, 1.76° [7° as reference point]). Lutein (L) and zeaxanthin (Z) dietary intake and serum concentrations were evaluated. RESULTS: MPOV mean was 5094 (95%CI, 4877–5310); range: 527 to 10,652. MPOV was inversely correlated with body mass index and positively correlated with education (r = −0.156, P = 0.002 and r = 0.124, P = 0.014, respectively). Serum concentrations of L and Z were positively correlated with MPOV (r = 0.422, P < 0.001 and r = 0.285, P < 0.001, respectively). MPOV was positively correlated to MPOD at all measured eccentricities, with the strongest agreement at 1.76° (r = 0.906, P < 0.001). Serum concentrations of L and Z, BMI, education, and age (P < 0.001) were found to be significant predictors of MPOV. CONCLUSIONS: The Spectralis MPOV measurement provided a comprehensive and detailed evaluation of the MP profile. The Spectralis MPOV should be considered a preferred metric for the assessment of MP. TRANSLATIONAL RELEVANCE: Applying a standardized method for the assessment and report of MP will allow to fully derive meaning from observational studies and to successfully implement this MP measurement technique in research and clinical settings. The Association for Research in Vision and Ophthalmology 2019-12-18 /pmc/articles/PMC6922273/ /pubmed/31867142 http://dx.doi.org/10.1167/tvst.8.6.41 Text en Copyright 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Green-Gomez, Marina
Bernstein, Paul S.
Curcio, Christine A.
Moran, Rachel
Roche, Warren
Nolan, John M.
Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique
title Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique
title_full Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique
title_fullStr Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique
title_full_unstemmed Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique
title_short Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique
title_sort standardizing the assessment of macular pigment using a dual-wavelength autofluorescence technique
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6922273/
https://www.ncbi.nlm.nih.gov/pubmed/31867142
http://dx.doi.org/10.1167/tvst.8.6.41
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