Article Figures & Data
- Figure 1
Flow chart of the study cohort. †No e-CTA due to no CTA in 13 cases. CTA, CT angiography; CTP, CT perfusion; NCCT, non-contrast CT.
- Figure 2
Performance of e-ASPECTS. A heatmap shows strong positive correlation between the ASPECTS and e-ASPECTS (A). Diagnostic statistics are shown for the detection of acute infarct (ie, ASPECTS<10) (B), hyperdense vessels (HD) (C) and acute haemorrhage (D). NPV, negative predictive value; PPV, positive predictive value.
- Figure 3
e-ASPECTS accuracy by region at the level of the basal ganglia (A) and the supraganglionic level (B).
- Figure 4
Performance of e-CTA. Diagnostic statistics for all vessel occlusions (Internal Carotid Artery [ICA], M1 and M2 Middle Cerebral Artery [MCA]) (A) and for large vessel occlusions (LVOs) only (ICA and M1 MCA) (B). CTA, CT angiography; NPV, negative predictive value; PPV, positive predictive value.
- Figure 5
Scatter plots of the core infarct volume (A), penumbra volume (B) and mismatch ratio (C) volumes derived from Brainomix e-CTP and Siemens syngo.via. Orange data points refer to values greater than 10. CTP, CT perfusion.
- Table 1
Demographics and clinical data of patient cohort
Demographics Age 70 (58—81) Sex (M:F) 300:271 (54%:47%) Clinical Hypertension 302 (54%) Type 2 diabetes 143 (25%) Previous stroke 110 (19%) Admission modified Rankin score 0 (0—2) NIHSS at admission 7 (3—14) Diagnosis Acute infarct involving the MCA territory 128 (22%) Infarcts confined to the ACA territory 5 (1%) Infarcts confined to the posterior circulation 26 (5%) Acute haemorrhage 59 (10%) Other diagnosis 5 (1%) Vessel occlusion Large vessel occlusion 62 (11%) Medium vessel occlusion 18 (3%) All occlusions 80 (15%) Imaging on follow-up None 131 (23%) CT 71 (12%) MRI 369 (65%) Time of follow-up imaging (hours) 17 (10—28) NIHSS, National Institute of Health Stroke Score.
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