9 research outputs found

    Comparisons among the sectors between the glaucoma and normal groups.

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    <p>Ave, average.</p><p>The data are presented as the age- and axial length-adjusted mean ± standard error of the mean (SEM) and 95% CI (confidence interval) (µm).</p><p>All P values were obtained with an ANCOVA using the age and axial length as covariates.</p><p>Comparisons among the sectors between the glaucoma and normal groups.</p

    The results of symmetrical comparisons between two sectors in the glaucoma group.

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    <p>Ave, average.</p><p>All p values were obtained using the paired t-test.</p><p>The results of symmetrical comparisons between two sectors in the glaucoma group.</p

    The 3D-OCT map and results of the HFA test in a 71-year-old male subject with glaucoma.

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    <p>(A) The 3D-OCT map provides a 10×10 grid map of the macular RNFL (GCL+), ganglion cell layer (GCL)/inner plexiform layer (IPL) thickness (GCL++) and macular RNFL+GCL+IPL. Upper panel: a pseudo-colored map of the measured thickness. Center panel: Each grid in the 10×10 grid was color-coded, with no color (within the normal limit), yellow (outside of the 95% normal limit) or red (outside of the 99% normal limit) used to indicate different values. Lower panel: the thicknesses of the total, superior and inferior hemiretinal sectors. The black arrows show the superior hemiretinal thickness, which is displayed as color-coded with green (within the normal limit), yellow (outside of the 95% normal limit) or red (outside of the 99% normal limit) based on the software program's normal built-in dataset. (B) The results of the HFA test. The MD was −9.38 dB (P<0.5%) and the PSD was 14.54 dB (P<0.5%). Superior glaucoma visual field damage corresponds to inferior optic disc rim thinning and the 3D-OCT data. The inferior visual field was intact.</p

    The results of the stepwise regression analyses of the choroidal thickness values using the age, axial length, CCT and MD as variables in the glaucoma group.

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    <p>-: excluded variables.</p><p>Statistically significant independent factors for the dependent variables are shown in bold.</p><p>The results of the stepwise regression analyses of the choroidal thickness values using the age, axial length, CCT and MD as variables in the glaucoma group.</p

    The patient demographics.

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    <p>*, Student's <i>t</i>-test</p>†<p>, chi-square test.</p><p>The patient demographics.</p

    The choroidal thickness map of a 74-year-old female subject with glaucoma obtained using SS-OCT.

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    <p>(A) The choroidal thickness values presented on the 6×6 rectangular grid map. (B) The six sectors used in the present study. Each area was symmetrically divided between the superior and inferior sectors by a horizontal line.</p

    The choroidal thickness values in the glaucoma group.

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    <p>The values are presented as the means±SD (µm).</p><p>The values are slightly different from those in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0110265#pone-0110265-t002" target="_blank">Table 2</a> because these are the raw data.</p><p>The choroidal thickness values in the glaucoma group.</p

    The choroidal thickness map of a 57-year-old normal male obtained using SS-OCT.

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    <p>The 3D raster scan protocol with 512A-scans ×256 B-scans was used to obtain the 3D imaging data for a 6×6-mm area. (A) The black arrow shows the central sector choroidal thickness as measured on the ETDRS grid within a 1×1-mm circular area. (B) The choroidal thickness values presented by the 6×6 rectangular grid map. Each value shows the mean choroidal thickness within a 1×1-mm square area. (C) Manual segmentation of the chorioscleral interface on the B-scan image. All 64 B-scan images were obtained for each subject.</p
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