دورية أكاديمية
Automated evaluation of collateral circulation for outcome prediction in acute ischemic stroke.
| العنوان: | Automated evaluation of collateral circulation for outcome prediction in acute ischemic stroke. |
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| المؤلفون: | Scavasine VC; Neurology Division, Hospital de Clínicas, Universidade Federal do Paraná, Curitiba, PR, Brazil. Electronic address: valeria.scavasine@hc.ufpr.br., Stoliar GA; Neurology Division, Hospital de Clínicas, Universidade Federal do Paraná, Curitiba, PR, Brazil., Teixeira BCA; Radiology Division, Hospital de Clínicas, Universidade Federal do Paraná, Curitiba, PR, Brazil., Zétola VHF; Neurology Division, Hospital de Clínicas, Universidade Federal do Paraná, Curitiba, PR, Brazil., Lange MC; Neurology Division, Hospital de Clínicas, Universidade Federal do Paraná, Curitiba, PR, Brazil. |
| المصدر: | Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association [J Stroke Cerebrovasc Dis] 2024 Apr; Vol. 33 (4), pp. 107584. Date of Electronic Publication: 2024 Jan 19. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Saunders Country of Publication: United States NLM ID: 9111633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8511 (Electronic) Linking ISSN: 10523057 NLM ISO Abbreviation: J Stroke Cerebrovasc Dis Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Philadelphia, PA : Saunders Original Publication: New York, NY : Demos Publications, [1991- |
| مواضيع طبية MeSH: | Ischemic Stroke*/diagnosis , Ischemic Stroke*/therapy , Stroke*/diagnostic imaging , Stroke*/therapy , Brain Ischemia*/diagnosis , Brain Ischemia*/therapy, Humans ; Collateral Circulation ; Artificial Intelligence ; Retrospective Studies ; Cerebral Angiography/methods ; Treatment Outcome ; Computed Tomography Angiography/methods |
| مستخلص: | Introduction: The assessment of collateral circulation in acute ischemic stroke management is essential. Modern tools, such as Brainomix's e-CTA, powered by artificial intelligence, provide detailed insights into collateral assessment. This retrospective study aims to identify factors contributing to favorable collateral status and compare outcomes between patients with good collaterals (grade 3) and fair collaterals (grade 0-2). Method: This retrospective study included 97 patients admitted to the Stroke Unit at the Hospital de Clínicas of the Federal University of Paraná, Brazil, from September 2021 to January 2023. Comparative analyses involved demographic factors, cardiovascular risk factors, and the combined outcome of mortality and moderate to severe disability at discharge, 30-day, and 90-day follow-ups. Results: Among the 97 cases, 58.8 % showed 'good collaterals' with a grade 3 status. Variables affecting collateral status included age (p = 0.042), neutrophil-lymphocyte ratio (p = 0.005), and initial NIHSS scores (p<0.001). The presence of good collaterals according to e-CTA reduced the odds of death and moderate-severe disability at discharge (p = 0.003; OR 0.27) and at 30 days (p = 0.015; OR 0.33), although this effect diminished at the 90-day mark after multivariate analysis. Discussion: Automated collateral assessment through e-CTA is a valuable tool in acute ischemic stroke evaluation. Good e-CTA collateral score serve as a promising imaging biomarker, guiding informed clinical decisions during Stroke Unit hospitalizations. This study highlights the relationship between collaterals and stroke outcomes and underscores the potential for AI-driven tools to enhance stroke care management. Competing Interests: Declaration of competing interest All the authors report no disclosures. There is no conflict of interest to declare and no sponsorship or funding in this study. (Copyright © 2024 Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Artificial intelligence; Collateral circulation; Computed tomography angiography; Ischemic stroke |
| تواريخ الأحداث: | Date Created: 20240121 Date Completed: 20240311 Latest Revision: 20240311 |
| رمز التحديث: | 20240311 |
| DOI: | 10.1016/j.jstrokecerebrovasdis.2024.107584 |
| PMID: | 38246577 |
| قاعدة البيانات: | MEDLINE |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 1532-8511 |
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| DOI: | 10.1016/j.jstrokecerebrovasdis.2024.107584 |