Clinical Study
Glaucoma Diagnostic Accuracy of Machine Learning Classifiers Using Retinal Nerve Fiber Layer and Optic Nerve Data from SD-OCT
Table 2
Mean ± standard deviation of SD-OCT parameters in both groups.
| SD-OCT | Healthy () | Glaucoma () | |
| Average thickness (µm) | | | <0.001 | Quadrant (µm) | | | | Temporal | | | 0.017 | Superior | | | <0.001 | Nasal | | | 0.002 | Inferior | | | <0.001 | Clock hour (µm) | | | | 1 | | | 0.002 | 2 | | | <0.001 | 3 | | | 0.295 | 4 | | | 0.105 | 5 | | | 0.007 | 6 | | | <0.001 | 7 | | | <0.001 | 8 | | | 0.033 | 9 | | | 0.316 | 10 | | | 0.003 | 11 | | | <0.001 | 12 | | | <0.001 | Cup/disc area (ratio) | | | <0.001 | Average cup/disc (ratio) | | | <0.001 | Vertical cup/disc (ratio) | | | <0.001 | Rim area (mm2) | | | <0.001 | Cup volume (mm3) | | | <0.001 | Disc area (mm2) | | | 0.055 |
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SD-OCT: spectral domain optical coherence tomography.
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