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Fig 1.

Flow chart of the inclusion and exclusion criteria applied in this study.

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Fig 1 Expand

Fig 2.

Computer-assisted analysis of peripapillary choroidal thickness (PCT).

  1. (A). High-resolution OCT image of the peripapillary retina and choroid along an 8-mm line passing through the central part of the disc.
  2. (B). The yellow line represents the reference curve, and auxiliary red lines perpendicular to the yellow curve were drawn at a fixed 1-μm interval for calculating the choroid thickness at high spatial density.
  3. (C). A close-up of (B), showing auxiliary lines.
  4. (D). An illustration of the calculation of choroid thickness based on 4 cross-line images that cover eight regions of the eye. Warm colors represent thicker choroid regions while cool colors represent thinner choroid regions.
  5. (E). A full circle of PCT derived from a spline interpolation of the data shown in (D).

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Fig 2 Expand

Table 1.

Baseline characteristics of the study population.

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Table 1 Expand

Table 2.

Compared characteristics between the lesion and fellow eyes and between the two groups.

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Fig 3.

Regression analyses of peripapillary choroidal thickness.

  1. (A). The PCT L/F ratio is negatively correlated with the RNFL L/F ratio
  2. (B). PCT was weakly correlated with refraction in all fellow eyes.
  3. (C). PCT was weakly correlated with refraction in all eyes of patients in the retrobulbar neuritis group.
  4. (C). PCT was not correlated with refraction in lesion eyes of patients in the optic papillitis group.
  5. (PCT = peripapillary choroidal thickness; L/F = lesion eye/fellow eye; RNFL = retinal nerve fiber layer).

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Fig 3 Expand

Table 3.

Regression analysis of the observed variations in peripapillary choroidal thickness.

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Table 3 Expand

Table 4.

Regression analysis of initial trough visual acuity (LogMAR).

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Table 4 Expand