Segmental Inner Macular Layer Analysis with Spectral-domain Optical Coherence Tomography for Early Detection of Normal Tension Glaucoma.xlsx

2: normal subjects; 3: PPG; 1: NTGSOMT: means total macular thickness at SOMSOMN: mRNFL at SOMSOMG: mGCL at SOMWe chose parameters at the superior and inferior quadrants
for the statistical analysis, as they are commonly affected in glaucoma. The
superior macular thickness was defined as the average thickness of the superior-outer
macular (SOM) and superior-inner macular (SIM) sectors. The inferior macular
thickness was defined as the average thickness of the inferior-outer macular
(IOM) and inferior-inner macular (IIM) sectors.
The characteristics of the participants were assessed
by one-way analysis of variance (ANOVA), and the χ2 test was used to analyze the gender parameter. A post hoc test with Scheffe
adjustment was used to determine significance between any two groups. One-way
ANOVA was also conducted to assess differences in the thicknesses of the pRNFL,
TML, mRNFL, and mGCL among the groups. The normal distribution was verified using
a histogram test. Statistical
associations among macular values, pRNFL, and visual function were evaluated by
Pearson’s correlation coefficient. Areas under the receiver operating
characteristic (AUROC) curves were used to assess the diagnostic capabilities
of retinal layers. Significant differences between AUROCs were calculated using
the DeLong test. A p value <0.05
represents a significant difference. All statistical analyses were performed in
SPSS statistical software (version 18.0; SPSS, Inc., Chicago, IL), except the DeLong
test, which was performed in MedCalc-statistical-software (Version 16.8.4).