Table 3.
Characteristic | 2D-DSA | 3D-DSA | TOF-MRA |
---|---|---|---|
Sensitivity (%) | 75.0 (42.8–94.2) | 100.0 (73.4–100.0) | 91.7 (61.5–98.6) |
Specificity (%) | 95.0 (86.1–98.9) | 98.3 (91.0–99.7) | 96.7 (88.4–99.5) |
PPV (%) | 75.0 (42.8–94.2) | 92.3 (63.9–98.7) | 84.6 (54.5–97.6) |
NPV (%) | 95.0 (86.1–98.9) | 100.0 (93.9–100.0) | 98.3 (90.9–99.7) |
LR+ | 15.0 (10.8–20.9) | 60.0 (58.1–62.0) | 27.5 (23.0–32.8) |
LR− | 0.26 (0.06–1.20) | 0.00 (0.00–0.01) | 0.09 (0.018–0.90) |
Accuracy (%) | 91.7 (85.3–98.1) | 98.6 (95.9–100.0) | 95.8 (91.2–100.0) |
AUC* | 0.85 (0.75–0.92) | 0.99 (0.93–1.00) | 0.94 (0.86–0.98) |
PPV positive predictive value, NPV negative predictive value, LR + positive likelihood ratio, LR − negative likelihood ratio, AUC area under the receiver operating characteristic curve
*Significant difference between 2D-DSA and 3D-DSA (P < 0.05)