Hyperdense Artery Sign in Patients With Acute Ischemic Stroke–Automated Detection With Artificial Intelligence-Driven Software

Frontiers in Neurology

Olivier Joly¹  Pau Bellot¹  Peter Arthur Ringleb²  Yahia Mokli²  Simon Nagel²  Niclas Schmitt⁴  Markus A. Möhlenbruch⁴  Charlotte Sabine Weyland⁴  Martin Bendszus⁴  Christian Herweh⁴  Panagiotis Papanagiotou⁵  A. Kastrup⁶ 

[1] Brainomix Ltd., Oxford, United Kingdom;Department of Neurology, University of Heidelberg, Heidelberg, Germany;Department of Neuroradiology, Klinikum Bremen-Mitte, Bremen, Germany;Department of Neuroradiology, University of Heidelberg, Heidelberg, Germany;Department of Radiology, Areteion University Hospital, National and Kapodistrian University of Athens, Athens, Greece;Neurology, Klinikum Bremen-Mitte, Bremen, Germany;

关键词: acute ischemic stroke;    computed tomography;    artificial intelligence;    hyperdense artery sign;    large vessel occlusion;   

DOI  :  10.3389/fneur.2022.807145

来源: DOAJ

【 摘 要 】

BackgroundHyperdense artery sign (HAS) on non-contrast CT (NCCT) can indicate a large vessel occlusion (LVO) in patients with acute ischemic stroke. HAS detection belongs to routine reporting in patients with acute stroke and can help to identify patients in whom LVO is not initially suspected. We sought to evaluate automated HAS detection by commercial software and compared its performance to that of trained physicians against a reference standard.MethodsNon-contrast CT scans from 154 patients with and without LVO proven by CT angiography (CTA) were independently rated for HAS by two blinded neuroradiologists and an AI-driven algorithm (Brainomix®). Sensitivity and specificity were analyzed for the clinicians and the software. As a secondary analysis, the clot length was automatically calculated by the software and compared with the length manually outlined on CTA images as the reference standard.ResultsAmong 154 patients, 84 (54.5%) had CTA-proven LVO. HAS on the correct side was detected with a sensitivity and specificity of 0.77 (CI:0.66–0.85) and 0.87 (0.77–0.94), 0.8 (0.69–0.88) and 0.97 (0.89–0.99), and 0.93 (0.84–0.97) and 0.71 (0.59–0.81) by the software and readers 1 and 2, respectively. The automated estimation of the thrombus length was in moderate agreement with the CTA-based reference standard [intraclass correlation coefficient (ICC) 0.73].ConclusionAutomated detection of HAS and estimation of thrombus length on NCCT by the tested software is feasible with a sensitivity and specificity comparable to that of trained neuroradiologists.

【 授权许可】

Unknown