Improving Stroke Care in North-Norway Through Artificial Intelligence
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,000
- 试验地点
- 2
- 主要终点
- Time interval from imaging completion to when a request for patient transfer is recorded
研究概览
简要总结
Prospective observational multi-center intervention study. The study aims to evaluate whether an artificial intelligence (AI) support tool for radiological image processing (StrokeSens, Circle NVI) can accelerate decision making and increase detection rate in patients with an acute ischemic stroke caused by intracranial large vessel occlusion (LVO) or medium vessel occlusion (MeVO) in Northern Norway. Relevant outcomes will be compared between centres with and without available software during the study period.
详细描述
This study aims to evaluate whether an AI support tool (StrokeSens, Circle NVI) can accelerate decision making and increase detection rate in patients with an acute ischemic stroke caused by intracranial large vessel occlusion (LVO) or medium vessel occlusion (MeVO) in Northern Norway. The software will be a decision support tool in addition to standard radiological services where image interpretation is done by a radiologist or resident in radiology. The AI-tool will be available in 5 of 10 primary hospitals in Northern Norway. The AI-software employed in this study can automatically evaluate the presence of ischemic changes in the vascular territory of the middle cerebral artery according to the Alberta Stroke Program Early CT Score (ASPECTS) and detect occlusions in the intracranial segment of the internal carotid artery and the proximal segments of the middle cerebral artery (MCA).
The main goal of this project is to evaluate if access to the AI-software:
- Accelerates identification and handling of stroke patients harbouring an intracranial LVO.
- Leads to a higher detection rate of anterior circulation LVO and MeVO.
The secondary goal is to evaluate:
- If AI software leads to a higher number of thrombectomy treated LVO and MeVo patients.
- If AI software may lead to improved patient outcomes.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Parallel
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with acute stroke symptoms admitted to a participating hospital within 24 hours of symptom onset
排除标准
- •Patients not available for follow-up assessments (e.g. non-resident)
结局指标
主要结局
Time interval from imaging completion to when a request for patient transfer is recorded
时间窗: Within 24 hours of stroke onset
The time interval from imaging to a received request for transfer to a comprehensive stroke centre by air ambulance or other means at centers with the use of AI software compared to centers with standard care
次要结局
- Proportion of patients identified with LVO and MeVO in anterior circulation(Within 24 hours of stroke onset)
- Proportion of patients identified with LVO /MeVO treated with thrombectomy(Within 24 hours of of stroke onset)
- Functional outcome at 90 days in patients with LVO/MeVO(90 (+/-14) days after stroke onset)
- Time from symptom onset to start of thrombectomy in patients identified with LVO and medium vessel occlusion at centers with the use of AI software compared to centers with standard care(Within 24 hours of of stroke onset)