Correlation of fundus autofluorescence gray values with vision and microperimetry in resolved central serous chorioretinopathy

Jaeryung Oh, Seong Woo Kim, Soon Sun Kwon, In Kyung Oh, Kuhl Huh

    Research output: Contribution to journalArticlepeer-review

    12 Citations (Scopus)

    Abstract

    PURPOSE. To evaluate the prognostic value of grayscale parameters in fundus autofluorescence (FAF) for visual function in resolved central serous chorioretinopathy (CSC). METHODS. Seventy-six eyes of 67 patients with CSC that had been resolved for more than 4 months were analyzed retrospectively. Both the short-wavelength (SW)-FAF and near infrared (NIR)-FAF gray value parameters, including the mean, standard deviation, and coefficient of variation (CV), were calculated at 350-μm- and 1200-μm-diameter circles centered on the fovea. The FAF gray value parameters correlated with -logMAR best corrected visual acuity (BCVA) and mean microperimetry (MP) at the 2° and 4° diameters from the foveal center. RESULTS. The mean -logMAR BCVA was 0.15 ± 0.23. The mean MP was 12.87 ± 3.79 dB at 2° and 13.54 ± 3.37 dB at 4°. The -logMAR BCVA correlated most strongly with the mean SW-FAF gray value at the 350-μmcircle centered around the fovea (SW-M350; ρ 0.353; P = 0.002), and the SD of the SW-FAF gray value at the 350-μm circle centered around the fovea (SW-SD350) correlated most strongly with the MP at 2° (ρ= -0.416, P < 0.0001) and 4° (ρ= -0.435, P < 0.0001). The NIR-FAF gray value parameters did not correlate with the macular function tests. CONCLUSIONS. In subjects with resolved CSC, FAF gray values correlated with visual function. BCVA correlated most strongly with SW-M350. MP at 2° and at 4° correlated most strongly with SW-SD350.

    Original languageEnglish
    Pages (from-to)179-184
    Number of pages6
    JournalInvestigative Ophthalmology and Visual Science
    Volume53
    Issue number1
    DOIs
    Publication statusPublished - 2012 Jan

    ASJC Scopus subject areas

    • Ophthalmology
    • Sensory Systems
    • Cellular and Molecular Neuroscience

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