Correlations among various functional and morphological tests in resolved central serous chorioretinopathy

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Aims: To find the explanatory parameters for best corrected visual acuity (BCVA) and microperimetry (MP) in resolved central serous chorioretinopathy. Methods: Thirty-three eyes from 33 patients were analysed retrospectively. BCVA and MP were correlated with parameters from various functional and morphological tests. The mean MP sensitivities at fovea 2° and 4°, retinal thickness and degree of defect at the photoreceptor inner and outer segment junction (IS/OS) of the spectral domain-optical coherent tomography image, normalised coefficient of variation of grey scale at the fovea in the short wavelength and near infrared fundus autofluorescence image, P1 amplitude and latency, and N1 amplitude and latency of multifocal electroretinography at ring 1 (R1) were measured. Spearman correlations and multiple linear regression analysis were used for analysis of correlation between functional and morphological characteristics. Results: The mean BCVA was 0.19±0.23 (logarithm of the minimum angle of resolution (logMAR)). The mean MP at 2° was 12.79±4.47 dB. BCVA correlated with MP at 2° (ρ=-0.491, p=0.004) and had a significant association with the IS/OS defect and centre point thickness (CPT) (BCVA=0.413+0.314xIS/OS defect-0.002xCPT; p<0.001, R=0.739, R 2=0.546). Retinal sensitivity measured by MP at the fovea (2°) had a significant association with the IS/OS defect and N1 latency at R1 (MP at 2°=19.350-9.116xIS/OS defect -0.324xN1 latency at R1; p<0.001, R=0.804, R 2=0.647). Conclusions: The visual function of eyes with resolved central serous chorioretinopathy was suboptimal and was better explained when various parameters showing retinal status were combined and interpreted together.

Original languageEnglish
Pages (from-to)350-355
Number of pages6
JournalBritish Journal of Ophthalmology
Issue number3
Publication statusPublished - 2012 Mar 1


ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems
  • Cellular and Molecular Neuroscience

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