ArticleJournal of medical Internet research2021
Using a Smartphone Application for the Accurate and Rapid Diagnosis of Acute Anterior Intracranial Arterial Occlusion: Usability Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Mobile Health Interventions Across the Stroke Care Continuum: A Scoping Review.Journal of clinical medicine · 2026Review
- Telemedicine 3.0: The Real Anywhere and Anytime.Journal of neuroendovascular therapy · 2025Review
- Workflow optimization in acute stroke therapy using a mobile application - a pilot study.Therapeutic advances in neurological disorders · 2025Article
- Effective Smartphone Application Use for Postoperative Management of Moyamoya Disease.Neurologia medico-chirurgica · 2024Article
- Usability Evaluation of a Knowledge Graph-Based Dementia Care Intelligent Recommender System: Mixed Methods Study.Journal of medical Internet research · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTelestroke has developed rapidly as an assessment tool for patients eligible for reperfusion therapy.
objectiveTo investigate whether vascular neurologists can diagnose intracranial large vessel occlusion (LVO) as quickly and accurately using a smartphone application compared to a hospital-based desktop PC monitor.
methodsWe retrospectively enrolled 108 consecutive patients with acute ischemic stroke in the middle cerebral artery territory who underwent magnetic resonance imaging (MRI) within 24 hours of their stroke onset. Two vascular neurologists, blinded to all clinical information, independently evaluated magnetic resonance angiography and fluid-attenuated inversion recovery images for the presence or absence of LVO in the internal carotid artery and middle cerebral artery (M1, M2, or M3) on both a smartphone application (Smartphone-LVO) and a hospital-based desktop PC monitor (PC-LVO). To evaluate the accuracy of an arterial occlusion diagnosis, interdevice variability between Smartphone-LVO and PC-LVO was analyzed using κ statistics, and image interpretation time was compared between Smartphone-LVO and PC-LVO.
resultsThere was broad agreement between Smartphone-LVO and PC-LVO evaluations regarding the presence or absence of arterial occlusion (Reader 1: κ=0.94; P<.001 vs Reader 2: κ=0.89; P<.001), and interpretation times were similar between Smartphone-LVO and PC-LVO.
conclusionsThe results indicate the evaluation of neuroimages using a smartphone application can provide an accurate and timely diagnosis of anterior intracranial arterial occlusion that can be shared immediately with members of the stroke team to support the management of patients with hyperacute ischemic stroke.
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