Clinical Study
Glaucoma Diagnostic Accuracy of Machine Learning Classifiers Using Retinal Nerve Fiber Layer and Optic Nerve Data from SD-OCT
Table 3
Areas under the ROC curve (aROCs) for each SD-OCT parameter and sensitivities (%) with fixed specificities of 80% and 90%.
| SD-OCT | aROC (CI) | Specificity 80% | Specificity 90% |
| Average thickness | 0.783 (0.690–0.858) | 62.2 | 51.9 | Quadrant | | | | Temporal | 0.641 (0.540–0.733) | 38.7 | 28.0 | Superior | 0.747 (0.652–0.828) | 57.8 | 55.4 | Nasal | 0.672 (0.573–0.761) | 41.9 | 23.8 | Inferior | 0.775 (0.682–0.851) | 63.1 | 45.6 | Clock hour | | | | 1 | 0.690 (0.591–0.777) | 49.1 | 27.3 | 2 | 0.720 (0.623–0.804) | 52.9 | 45.9 | 3 | 0.563 (0.462–0.661)* | 23.1 | 18.4 | 4 | 0.597 (0.495–0.692)* | 26.4 | 12.2 | 5 | 0.642 (0.542–0.734) | 28.0 | 25.6 | 6 | 0.711 (0.613–0.796) | 45.6 | 32.6 | 7 | 0.764 (0.670–0.842) | 54.7 | 40.7 | 8 | 0.638 (0.537–0.730) | 44.2 | 26.6 | 9 | 0.564 (0.463–0.662)* | 31.5 | 25.7 | 10 | 0.670 (0.570–0.759) | 47.7 | 31.9 | 11 | 0.741 (0.646–0.823) | 58.6 | 32.6 | 12 | 0.686 (0.587–0.774) | 42.8 | 24.5 | Cup/disc area | 0.846 (0.762–0.910) | 67.7 | 60.0 | Average cup/disc | 0.843 (0.758–0.907) | 66.6 | 58.2 | Vertical cup/disc | 0.832 (0.746–0.899) | 70.8 | 58.9 | Rim area | 0.828 (0.741–0.895) | 70.1 | 62.4 | Cup volume | 0.786 (0.694–0.860) | 64.9 | 42.1 | Disc area | 0.594 (0.493–0.690)* | 33.3 | 19.3 |
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SD-OCT: spectral domain optical coherence tomography; CI: confidence interval of 95%. Parameters with aROCs not significantly different from chance.
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