Table 1 Patient characteristics for diagnostic performance evaluation of large vessel occlusion.

From: Duration and accuracy of automated stroke CT workflow with AI-supported intracranial large vessel occlusion detection

Patient characteristics

N = 100

Male gender (%)

57 (57%)

Age Y, mean (SD)

64 (13.17)

NIHSS mean (SD)

6.28 (6.55)

mRs mean (SD)

2.72 (1.59)

Side of neurological symptoms

 Left (%)

35 (35%)

 Right (%)

56 (56%)

 Indifferent (%)

9 (9%)

LVO (%)

23 (23%)

 ICA (%)

3 (13%)

 MCA M1 (%)

10 (43%)

 MCA M2 (%)

10 (43%)

Other vessel occlusions

29 (29%)

 MCA M3 (%)

9 (31%)

 Basilar artery (%)

2 (6.9%)

 Vertebral artery (%)

4 (13.7%)

 PCA 1 (%)

5 (17%)

 PCA 2 (%)

2 (6.9%)

 PCA 3 (%)

2 (6.9%)

 ACA 2 (%)

1 (3.4%)

 AICA/PICA (%)

3 (10%)

 SCA (%)

1 (3.4%)

No occlusions (%)

48 (48%)

  1. NIHSS: National Institute of Health Stroke Scale; mRs: Modified Rankin Score; SD: standard deviation; ICA: internal carotid artery; MCA: middle cerebral artery; PCA: posterior cerebral artery; ACA: anterior cerebral artery; AICA/PICA: anterior inferior cerebellar artery/posterior inferior cerebellar artery; SCA: superior cerebellar artery.
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