Development of a prehospital stroke hotline system on remote islands

Otsuka, Hiroaki; Hiu, Takeshi; Ae, Ryusuke; Yoshimura, Shota; Iwanaga, Hiroshi; Nakamichi, Chikaaki; Yasaka, Takahiro; Tsutsumi, Keisuke

doi:10.3995/jstroke.10875

Cited by 1 publication

(1 citation statement)

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“…Thus, there are still many hospitals where cerebral infarction is treated with conservative therapy alone [ 6 ]. To achieve standardization of treatment in the acute phase of cerebral infarction, diagnosis and treatment should be improved, especially in non-urban areas [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

The Utility of Automated ASPECTS in Acute Ischemic Stroke for Intravenous Recombinant Tissue Plasminogen Activator (IV-rtPA) Therapy

Shibata

Sakurai

Keiji

et al. 2022

Neurology International

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Purpose: This study aimed to investigate the accuracy and clinical significance of an artificial intelligence (AI)-based automated Alberta Stroke Program Early Computed Tomography (ASPECT) scoring software of head CT for the indication of intravenous recombinant tissue plasminogen activator (rt-PA) therapy. Methods: This study included two populations of acute ischemic stroke: one comprised patients who had undergone head CT within 48 h of presentation (Population #1, n = 448), while the other included patients within 4.5 h from onset (Population #2, n = 132). The primary endpoint was the concordance rate of ASPECTS of the neurologists and AI software against the benchmark score. The secondary endpoints were to validate the accuracy of the neurologist and AI software in assessing the ability to rule out extensive infarction (ASPECTS of 0–5) in population #2. Results: The reading accuracy of AI software was comparable to that of the board-certified vascular neurologists. The detection rate of cardiogenic cerebral embolism was better than that of atherothrombotic cerebral infarction. By excluding extensive infarction, AI-software showed a higher specificity and equivalent sensitivity compared to those of experts. Conclusions: The AI software for ASPECTS showed convincing agreement with expert evaluation and would be supportive in determining the indications of intravenous rt-PA therapy.

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Section: Introductionmentioning

confidence: 99%