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Akira Obana, Yuko Gohto, Werner Gellermann, Hiroyuki Sasano, Mohsen Sharifzadeh, Takahiko Seto, Paul S Bernstein; Grade of cataract and its influence on measurement of macular pigment optical density by autofluorescence imaging. Invest. Ophthalmol. Vis. Sci. 2018;59(9):4513. doi: https://doi.org/.
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© ARVO (1962-2015); The Authors (2016-present)
Measurement of macular pigment optical density (MPOD) by autofluorescence technique is affected by cataract. We measured MPOD on the eyes that received cataract surgery and obtained an equation to compensate the influence of cataract.
This prospective case series comprised one hundred eyes of one hundred patients. Mean age was 73.1±8.8 (standard deviation, SD) years old. Cataract was graded on the basis of the World Health Organization classification using a Konan Anterior Segment Tri-Camera System 1000 (Konan Medical). MPOD was measured by the MPOD module of the Spectralis MultiColor instrument (Spectralis-MP, Heidelberg) before and after surgery. The relation between change of MPOD values and factors such as age, cataract grades, and quality of autofluorescence image was investigated. The mean MPOD at 0.23°, 0.51°, 0.98°, and 1.99° eccentricities and total amount of macular pigment in the area within 0.43°, 0.98°, 1.99°, and 8.98° eccentricities were evaluated.
MPOD values before surgery were obtained in 67 eyes but not in 33 eyes. The mean MPOD and total amount of macular pigment after surgery were higher than those before surgery at all eccentricities in all eyes. The mean increase rates of mean MPOD at four eccentricities were from 1.42 to 1.77, and mean increase rates of total amount were from 1.31 to 1.75, and the increase rate was larger at eccentricities closer to the foveal center. Age, grade of NUC, PSC at the central area, and SD of MPOD at each eccentricity significantly related to the increase rate of the mean MPOD and total amount. Multiple regression analyses using these factors as dependent variables provided regression equations to compensate for the influence of cataract. For example, the increase rate at 0.51° = 0.14 + 1.71×SD ratio + 0.27×NUC stage + 0.01×age (p=0.000). Interestingly, when we evaluated eyes with relatively good preoperative autofluorescence images, regression equations were composed of age and SD ratio and did not need to include NUC. This equation is very convenient to use clinically because grading of NUC has a subjective bias.
We obtained useful regression equations to estimate the increase rate of measurement values after surgery in all eccentricities. True MPOD levels (MPOD after surgery) could be estimated even in cataract eyes using these equations.
This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.
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