Portable cerebral blood flow monitor to detect large vessel occlusion in patients with suspected stroke

被引:6
作者
Favilla, Christopher G. [1 ]
Baird, Grayson L. [2 ]
Grama, Kedar [3 ]
Konecky, Soren [3 ]
Carter, Sarah [1 ]
Smith, Wendy [4 ]
Gitlevich, Rebecca [1 ]
Lebron-Cruz, Alexa [1 ]
Yodh, Arjun G. [5 ]
McTaggart, Ryan A. [2 ]
机构
[1] Univ Penn, Dept Neurol, Philadelphia, PA 19104 USA
[2] Brown Univ, Dept Intervent Radiol, Providence, RI USA
[3] Openwater, San Francisco, CA USA
[4] Dept Diagnost Imaging, Lifespan Hlth Syst, Providence, RI USA
[5] Univ Penn, Dept Phys & Astron, Philadelphia, PA USA
基金
美国国家卫生研究院;
关键词
Stroke; Blood Flow; Device; Technology; Thrombectomy; SPECTROSCOPY;
D O I
10.1136/jnis-2024-021536
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
Background Early detection of large vessel occlusion (LVO) facilitates triage to an appropriate stroke center to reduce treatment times and improve outcomes. Prehospital stroke scales are not sufficiently sensitive, so we investigated the ability of the portable Openwater optical blood flow monitor to detect LVO.Methods Patients were prospectively enrolled at two comprehensive stroke centers during stroke alert evaluation within 24 hours of onset with National Institutes of Health Stroke Scale (NIHSS) score >= 2. A 70 s bedside optical blood flow scan generated cerebral blood flow waveforms based on relative changes in speckle contrast. Anterior circulation LVO was determined by CT angiography. A deep learning model trained on all patient data using fivefold cross-validation and learned discriminative representations from the raw speckle contrast waveform data. Receiver operating characteristic (ROC) analysis compared the Openwater diagnostic performance (ie, LVO detection) with prehospital stroke scales.Results Among 135 patients, 52 (39%) had an anterior circulation LVO. The median NIHSS score was 8 (IQR 4-14). The Openwater instrument had 79% sensitivity and 84% specificity for the detection of LVO. The rapid arterial occlusion evaluation (RACE) scale had 60% sensitivity and 81% specificity and the Los Angeles motor scale (LAMS) had 50% sensitivity and 81% specificity. The binary Openwater classification (high-likelihood vs low-likelihood) had an area under the ROC (AUROC) of 0.82 (95% CI 0.75 to 0.88), which outperformed RACE (AUC 0.70; 95% CI 0.62 to 0.78; P=0.04) and LAMS (AUC 0.65; 95% CI 0.57 to 0.73; P=0.002).Conclusions The Openwater optical blood flow monitor outperformed prehospital stroke scales for the detection of LVO in patients undergoing acute stroke evaluation in the emergency department. These encouraging findings need to be validated in an independent test set and the prehospital environment.
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