Stroke is a major disease of the 21st century. Despite significant improvements in primary prevention and treatment, stroke remains a devastating disease and it is considered an absolute emergency [1, 2]. Ischemic stroke (IS), the most common type of stroke, consists of a brain blood vessel occlusion that creates a lack of blood flow and results in the death of brain cells within the first few minutes [3]. In the treatment and diagnosis of IS "time is brain" [4]. Hence, non-contrast CT (NCCT) remains the...

A retrospective, multicenter, multinational, multivendor and blinded study was conducted to evaluate the standalone performance of CINA-ASPECTS v1.4.2 (Avicenna.AI, La Ciotat, France), a CE-marked AI-based algorithm designed to detect signs of EIC on NCCTs and automatically compute the ASPECT score. Data and Ground Truth (GT) One hundred thirty-nine (139) NCCT images pertaining to patients with confirmed acute MCA and/or ICA occlusion were retrospectively collected. Two board-certified expert neuroradiologists proceeded with the visual assessment of the dataset to determine if there is EIC on each ASPECTS...

For the standalone performance, a total of 2780 ASPECTS regions (139 patients x 20 ASPECTS regions per patient) were analyzed. There were 380 (13.7%) regions with EIC and 2400 (86.3%) negative regions, according to the GT. The mean ± SD of patients’ age was 68.9 ± 13.7 y/o. For the MRMC study, the 40 NCCTs were randomly selected from the initial 139 scans. Both datasets contained a sufficient number of cases from important cohorts in terms of imaging acquisitions (i.e. CT vendors, number of detector...

A deep learning AI-based application, CINA-ASPECTS, can identify areas of acute ischemia with high concordance to expert neuroradiologists. The device shows promising results in the automatic detection of regions with EIC and in the computation of the ASPECT score. The results demonstrated that it performed properly and matched with the expert visual assessments, considered as the GT. Such AI-based techniques can be used to accurately determine patients deemed eligible for mechanical thrombectomy or any other treatment, thus, improving clinical workflow and patient outcomes [9-10]. In...

A. Ayobi: Employee: Avicenna.AI, La Ciotat, France P. Chang: Nothing to disclose D. Chow: Nothing to disclose C. Filippi: Nothing to disclose S. Quenet: Employee: Avicenna.AI, La Ciotat, France M. Tassy: Employee: Avicenna.AI, La Ciotat, France Y. Chaibi: Employee: Avicenna.AI, La Ciotat, France

[1] World Stroke Organization. https://www.world-stroke.org/ [Acceded in January 2022]. [2] Di Carlo A. Human and economic burden of stroke. Age and Ageing. 2009;38(1):4-5. [3] L’accident vasculaire cérébral (AVC) - Livret d’informations destiné aux patients et à leurs proches. Hôpitaux de Saint-Maurice. 2017. http://www.hopitaux-saint-maurice.fr/Ressources/FCK/livret_AVC_Prevention_recidives_Mars2017.pdf [Acceded in January 2022] [4] Saver JL. Time is brain--quantified. Stroke. 2006;37(1):263‐266. [5] Radhiana H, Syazarina SO, Shahizon Azura MM, Hilwati H, Sobri MA. Non-contrast computed tomography in acute ischemic stroke: a pictorial review. Med J Malaysia. 2013;68(1):93-100. [6] Barber PA, Demchuk...