Table 2. Sensitivity and Specificity for CAD and MACE.
Interpretation approach | CAD | MACE | |||||
---|---|---|---|---|---|---|---|
ROC | Sensitivity (%) | Specificity (%) | ROC | Sensitivity (%) | Specificity (%) | ||
MRISQ | 0.75 | 55 | 89 | 0.54 | 38 | 84 | |
DICE-MRISQ | 0.91 | 100 | 72 | 0.75 | 79 | 71 | |
BIAS-MRISQ | 0.73 | 67 | 80 | 0.78 | 71 | 84 | |
MRIQL | 0.75 | 67 | 80 | 0.64 | 50 | 78 | |
DICE-MRIQL | 0.7 | 78 | 63 | 0.68 | 71 | 65 | |
BIAS-MRIQL | 0.73 | 67 | 80 | 0.78 | 71 | 84 | |
SPECT | 0.72 | 55 | 85 | 0.63 | 38 | 84 | |
DICE-SPECT | 0.76 | 66 | 85 | 0.78 | 70 | 85 | |
BIAS-SPECT | 0.68 | 55 | 78 | 0.82 | 80 | 83 |
Where CAD is coronary artery disease and MACE is major adverse cardiovascular event. CAD, coronary artery disease; MACE, major adverse cardiovascular events; ROC, receiver operator characteristic; DICE, decisions informed by combining entities; MRI, magnetic resonance imaging; MRIQL, MRI qualitative perfusion assessment; MRISQ, MRI semi-quantitative perfusion assessment; SPECT, single photon emission computed tomography; DICE, decisions informed by combining entities; BIAS, bio-informatics assessment schema.