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Table 1 Model input—clinical parameters

From: Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment

Model Input

Base case

Reference

LVO missed standard care

6%

Becks et al. [16]

Reduction of missed LVO through AI detection (varied)

50%

 

LVO of patients suspected of stroke receiving CTA

30.6%

McMeekin et al. [15]

IAT eligible of LVO population

43.8%

McMeekin et al. [15]

Population age

66

MR Clean Trial [3]

mRS after LVO treated with IAT

 

Aronsson et al. [2]

 mRS 0

11%

 

 mRS 1

18%

 

 mRS 2

20%

 

 mRS 3

17%

 

 mRS 4

16%

 

 mRS 5

4%

 

 Death

14%

 

mRS after LVO treated without IAT

 

Aronsson et al. [2]

 mRS 0

5%

 

 mRS 1

8%

 

 mRS 2

11%

 

 mRS 3

17%

 

 mRS 4

27%

 

 mRS 5

12%

 

 Death

20%

 

Probability of recurrent stroke

2.84%

Pennlert et al. [18]

  1. LVO, large vessel occlusion; CTA, computed tomography angiography; IAT, intra-arterial thrombectomy; mRS, modified Rankin Scale