2021
DOI: 10.1167/tvst.10.2.18
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Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning

Abstract: Purpose Measurements of macular pigment optical density (MPOD) by the autofluorescence technique yield underestimations of actual values in eyes with cataract. We applied deep learning (DL) to correct this error. Subjects and Methods MPOD was measured by SPECTRALIS (Heidelberg Engineering, Heidelberg, Germany) in 197 eyes before and after cataract surgery. The nominal MPOD values (= preoperative value) were corrected by three methods: the regression equation … Show more

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Cited by 5 publications
(19 citation statements)
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“…These values could represent a standard for future investigation on MP. MPOD(0.23), MPOD(0.5), MPOD(1), MPOD(2), and MPOV(9) were consistent with our previous studies [ 18 , 31 , 36 , 37 , 39 , 40 ], and this consistency was expected, since the current study was based in part on the same database, although the number of subjects in the present study was larger. The MPOD levels were higher in areas closer to the foveal center.…”
Section: Discussionsupporting
confidence: 92%
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“…These values could represent a standard for future investigation on MP. MPOD(0.23), MPOD(0.5), MPOD(1), MPOD(2), and MPOV(9) were consistent with our previous studies [ 18 , 31 , 36 , 37 , 39 , 40 ], and this consistency was expected, since the current study was based in part on the same database, although the number of subjects in the present study was larger. The MPOD levels were higher in areas closer to the foveal center.…”
Section: Discussionsupporting
confidence: 92%
“…A reason for the present high MP levels was that all the present data were from pseudophakic eyes. In our previous study [ 37 ], the mean error for MPOV in eyes with cataract was 20.5% without any correction. When the values by Green-Gomez et al are corrected with this factor, MPOV(7) is 10,010, which is still lower than our present value.…”
Section: Discussionmentioning
confidence: 99%
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