Table 4.
References | Population | Univariate P | Multivariate P | Sensitivity | Specificity | PPV | NPV | Accuracy | +LR | –LR |
---|---|---|---|---|---|---|---|---|---|---|
Truncal-type occlusions in prediction of angiography-revealed significant fixed focal stenosis | ||||||||||
Current study | ICA + MCA + VBA | <0.001 | <0.001* | 50.5% | 87.4% | 50.5% | 87.4% | 80.0% | 4.02 | 0.57 |
Intracranial ICA | 0.261 | 0.358* | 26.3% | 83.9% | 15.2% | 91.3% | 78.2% | 1.64 | 0.88 | |
MCA M1 | <0.001 | <0.001* | 41.9% | 92.3% | 63.4% | 83.2% | 80.1% | 5.42 | 0.63 | |
VBA | <0.001 | 0.004* | 95.5% | 79.0% | 72.4% | 96.8% | 85.0% | 4.54 | 0.06 | |
CTA truncal-type occlusions in prediction of SR failure | ||||||||||
Baek et al. (26) | ICA + MCA + VBA | 48.2% | 90.8% | 60.5% | 85.6% | 81.1% | 5.21 | 0.57 | ||
Truncal-type occlusions after STENT deployment in prediction of SR failure | ||||||||||
Baek et al. (25) | ICA+MCA+VBA | 30.5% | 97.6% | – | – | – | 12.6 | 0.71 | ||
Other imaging predictors | ||||||||||
Negative susceptibility vessel sign in prediction of ICAS-related occlusion | ||||||||||
Kim et al. (23) | MCA | <0.001 | 100.0% | 67.1% | 42.9% | 100.0% | 73.6% | 3.04 | 0.00 | |
Suh et al. (24) | ICA+MCA | 0.239 | 28.6% | 75.0% | – | – | – | 1.14 | 0.95 | |
Negative multi-segment clot sign in prediction of large artery atherosclerosis | ||||||||||
Chen et al. (32) | ICA+MCA | <0.001 | 90.7% | 52.7% | 42.9% | 93.5% | 63.4% | 1.92 | 0.18 |
Multivariate analysis was performed with age, gender, smoking, and atrial fibrillation as covariates. Predictive values from these articles have been calculated through statistical analysis of data presented in the literature. CTA, computed tomographic angiography; PPV, positive predictive value; NPV, negative predictive value; +LR, positive likelihood ratio; –LR, negative likelihood ratio; ICA, internal carotid artery; MCA, middle cerebral artery; VBA, vertebrobasilar artery; SR, stent retriever; ICAS, intracranial atherosclerotic stenosis.