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The Utility of Automated ASPECTS in Acute Ischemic Stroke for Intravenous Recombinant Tissue Plasminogen Activator (IV-rtPA) Therapy.
| Content Provider | Europe PMC |
|---|---|
| Author | Shibata, Soichiro Sakurai, Kenzo Tachikawa, Keiji Ko, Riyoko Hino, Sakae Fukano, Takayuki Isahaya, Kenji Haraguchi, Takafumi Yamauchi, Junji Tanabe, Kenichiro Nagasaka, Misako Hagiwara, Yuta Shimizu, Takahiro Akiyama, Hisanao Kobayashi, Yasuyuki Hasegawa, Yasuhiro Yamano, Yoshihisa |
| Editor | Chavda, Vishal K. Chaurasia, Bipin Montemurro, Nicola |
| Copyright Year | 2022 |
| Abstract | 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. |
| Related Links | https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9680239&blobtype=pdf |
| ISSN | 20358385 |
| Journal | Neurology International [Neurol Int] |
| Volume Number | 14 |
| DOI | 10.3390/neurolint14040077 |
| PubMed Central reference number | PMC9680239 |
| Issue Number | 4 |
| PubMed reference number | 36412699 |
| e-ISSN | 20358377 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-11-21 |
| Access Restriction | Open |
| Rights License | Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). © 2022 by the authors. |
| Subject Keyword | artificial intelligence recombinant tissue plasminogen activator therapy ASPECTS acute cerebral infarction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neurology (clinical) |