Table. Diagnostic Performance of Inner Macular Vessel Density and Inner Macular Thickness for Discrimination Between Glaucomatous and Healthy Eyes.
| Site | Inner Macular Thickness | Inner Macular Vessel Density | P Valuea | Difference |
|---|---|---|---|---|
| Area Under the ROC Curve (95% CI) | ||||
| Mean | 0.89 (0.79-0.97) | 0.73 (0.60-0.85) | .03 | 0.17 (0.01-0.31) |
| SN | 0.81 (0.66-0.92) | 0.57 (0.46-0.73) | <.001 | 0.25 (0.12-0.40) |
| S | 0.82 (0.69-0.91) | 0.54 (0.41-0.72) | .003 | 0.28 (0.03-0.42) |
| ST | 0.85 (0.75-0.93) | 0.55 (0.37-0.73) | <.001 | 0.31 (0.10-0.50) |
| IN | 0.85 (0.72-0.94) | 0.56 (0.43-0.70) | <.001 | 0.29 (0.16-0.43) |
| I | 0.87 (0.76-0.93) | 0.75 (0.59-0.86) | .04 | 0.13 (0.02-0.31) |
| IT | 0.93 (0.86-0.97) | 0.83 (0.73-0.90) | .01 | 0.11 (0.03-0.23) |
| Sensitivity at 80% Specificity (95% CI) | ||||
| Mean | 82.3 (67.3-95.4) | 60.2 (39.8-76.5) | .04 | 22.1 (4.4-47.8) |
| SN | 67.3 (46.8-86.6) | 38.9 (24.1-56.9) | .01 | 28.4 (4.4-45.1) |
| S | 69.9 (56.4-81.6) | 31.0 (17.7-45.9) | <.001 | 38.9 (16.8-57.5) |
| ST | 70.8 (52.9-83.2) | 31.9 (14.7-47.0) | .001 | 38.9 (16.8-61.9) |
| IN | 69.9 (51.9-84.8) | 43.4 (26.9-59.8) | .001 | 26.5 (14.2-53.1) |
| I | 75.2 (56.9-86.2) | 56.6 (34.1-76.5) | .04 | 18.6 (1.8-46.9) |
| IT | 85.8 (71.2-93.1) | 74.3 (58.8-87.4) | .01 | 11.5 (5.3-39.0) |
| Sensitivity at 90% Specificity (95% CI) | ||||
| Mean | 77.0 (59.6-91.7) | 47.8 (16.2-64.0) | .02 | 29.2 (11.5-64.6) |
| SN | 59.3 (39.6-81.4) | 35.4 (21.9-56.9) | .02 | 23.9 (0.9-43.4) |
| S | 66.4 (51.2-80.0) | 26.5 (13.3-48.6) | <.001 | 39.9 (11.5-55.7) |
| ST | 67.3 (51.8-79.8) | 29.2 (15.6-50.4) | <.001 | 38.1 (18.5-61.1) |
| IN | 66.4 (48.5-83.3) | 33.6 (16.5-50.0) | <.001 | 32.8 (23.9-63.7) |
| I | 73.5 (58.7-86.8) | 51.3 (30.8-75.9) | .03 | 22.2 (2.2-50.9) |
| IT | 81.4 (67.2-88.1) | 60.2 (39.5-73.1) | .008 | 21.2 (14.1-54.0) |
Abbreviations: I, inferior; IN, inferonasal; IT, inferotemporal; ROC, receiver operating characteristic; S, superior; SN, superonasal; ST, superotemporal.
a
Comparisons of area under the ROC curves were performed with ROC regression analysis with adjustment for age, sex, axial length, and image quality index.