Journal List > J Korean Ophthalmol Soc > v.51(9) > 1008644

Lee, Sung, Hong, and Na: Glaucoma Diagnostic Performance of Macular and Retinal Nerve Fiber Layer by Spectral-Domain Optical Coherence Tomography

Abstract

Purpose

To compare the performance of glaucoma diagnosis according to the macular and peripapillary retinal nerve fiber layer (RNFL) thicknesses, as determined by spectral domain optical coherence tomography (OCT).

Methods

Ninety-six normal, 63 early glaucoma and 37 moderate to advanced glaucomatous eyes were imaged by Cirrus OCT. The areas under the receiver operating characteristics curves (AUCs) of macular and RNFL thicknesses were calculated for discrimination of normal and glaucomatous eyes. The sensitivity and specificity of normative classification of each parameter were assessed.

Results

The glaucoma diagnostic capability determined by AUC was greater when based on the peripapillary RNFL than the macular thickness (0.914, 0.775, p<0.001). Both the early and the moderate-to-advanced group showed higher AUCs in peripapillary RNFL thickness (early glaucoma group; 0.870, 0.670, p<0.001, moderate to advanced glaucoma group; 0.990, 0.954, p=0.03). The inferior outer sector of macular thickness showed highest sensitivity among the parameters (58%).

Conclusions

Although Cirrus OCT applied to determine macular thickness did not outperform that applied to determine peripapillary RNFL thickness in glaucoma diagnosis, applying Cirrus OCT to determine both thicknesses in diagnosis may help in understanding a patient's status.

Figures and Tables

Figure 1
The correlation between average macular and peripapillary retinal nerve fiber layer thickness (µm) measured by Cirrus spectral domain optical coherence tomography.
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Figure 2
The receiver operating characteristic curve of average macular and peripapillary retinal nerve fiber layer thickness for discrimination between normal (96 eyes) and glaucomatous eyes (100 eyes). Sensitivities and specificities were described as percentage (%).
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Figure 3
The receiver operating characteristic curve of average macular and peripapillary retinal nerve fiber layer thickness for discrimination between normal (96 eyes) and early glaucomatous eyes (63 eyes). Sensitivities and specificities were described as percentage (%).
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Figure 4
The receiver operating characteristic curve of average macular and peripapillary retinal nerve fiber layer thickness for discrimination between normal (96 eyes) and moderate to advanced glaucomatous eyes (37 eyes). Sensitivities and spcificities were described as percentage (%).
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Table 1
Baseline characteristics of study participants
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p-values were calculated by chi-square test (gender) and un-paired t-test (age, SE, VF MD, VF PSD).

*SD=standard deviation; SE=spherical equivalent; VF=visual field; §MD=mean deviation; PSD=pattern standard deviation

Table 2
Macular thickness of normal and glaucomatous eyes in 9 sectors as well as average determined by Cirrus spectral domain optical coherence tomography
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P-values were calculated by un-paired t-test

Table 3
Retinal nerve fiber layer thickness of normal and glaucomatous eyes in 4 quadrants, 12 clock hour sectors as well as average determined by Cirrus spectral domain optical coherence tomography
jkos-51-1250-i003

P-values were calculated by un-paired t-test

Table 4
The area under receiver operator characteristics curve (AUC) and confidence interval (CI) of macular thickness in 9 sectors as well as average for discrimination of glaucoma from normal eyes
jkos-51-1250-i004
Table 5
The area under receiver operator characteristics curve (AUC) and confidence interval (CI) of retinal nerve fiber layer thickness in 4 quadrants, 12 sectors, as well as average for discrimination of glaucoma from normal eyes
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Table 6
The sensitivity and specificity (%, confidence interval) of macular thickness normative classification for glaucoma diagnosis
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Table 7
The sensitivity and specificity (%, confidence interval)of retinal nerve fiber layer thickness normative classification for glaucoma diagnosis
jkos-51-1250-i007

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