Standardizing the assessment of macular pigment using a dual-wavelength autofluorescence technique
Translational Vision Science and Technology, ISSN: 2164-2591, Vol: 8, Issue: 6, Page: 41
2019
- 31Citations
- 30Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations31
- Citation Indexes31
- 31
- CrossRef21
- Captures30
- Readers30
- 30
Article 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 (0.238, 0.518, 0.988, 1.768 [78 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 ¼ 0.156, P ¼ 0.002 and r ¼ 0.124, P ¼ 0.014, respectively). Serum concentrations of L and Z were positively correlated with MPOV (r ¼ 0.422, P, 0.001 and r ¼ 0.285, P, 0.001, respectively). MPOV was positively correlated to MPOD at all measured eccentricities, with the strongest agreement at 1.768 (r ¼ 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.
Bibliographic Details
Association for Research in Vision and Ophthalmology (ARVO)
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