Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review
Background: Large vessel occlusion (LVO) is the obstruction of large, proximal cerebral arteries and can account for up to 46% of acute ischaemic stroke (AIS) when both the A2 and P2 segments are included (from the anterior and posterior cerebral arteries). It is of paramount importance that LVO is...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-01-01
|
| Series: | Frontiers in Neurology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2021.780324/full |
| _version_ | 1818752772395237376 |
|---|---|
| author | Jennifer K. Nicholls Jennifer K. Nicholls Jonathan Ince Jatinder S. Minhas Jatinder S. Minhas Emma M. L. Chung Emma M. L. Chung Emma M. L. Chung Emma M. L. Chung |
| author_facet | Jennifer K. Nicholls Jennifer K. Nicholls Jonathan Ince Jatinder S. Minhas Jatinder S. Minhas Emma M. L. Chung Emma M. L. Chung Emma M. L. Chung Emma M. L. Chung |
| author_sort | Jennifer K. Nicholls |
| collection | DOAJ |
| description | Background: Large vessel occlusion (LVO) is the obstruction of large, proximal cerebral arteries and can account for up to 46% of acute ischaemic stroke (AIS) when both the A2 and P2 segments are included (from the anterior and posterior cerebral arteries). It is of paramount importance that LVO is promptly recognised to provide timely and effective acute stroke management. This review aims to scope recent literature to identify new emerging detection techniques for LVO. As a good comparator throughout this review, the commonly used National Institutes of Health Stroke Scale (NIHSS), at a cut-off of ≥11, has been reported to have a sensitivity of 86% and a specificity of 60% for LVO.Methods: Four electronic databases (Medline via OVID, CINAHL, Scopus, and Web of Science), and grey literature using OpenGrey, were systematically searched for published literature investigating developments in detection methods for LVO, reported from 2015 to 2021. The protocol for the search was published with the Open Science Framework (10.17605/OSF.IO/A98KN). Two independent researchers screened the titles, abstracts, and full texts of the articles, assessing their eligibility for inclusion.Results: The search identified 5,082 articles, in which 2,265 articles were screened to assess their eligibility. Sixty-two studies remained following full-text screening. LVO detection techniques were categorised into 5 groups: stroke scales (n = 30), imaging and physiological methods (n = 15), algorithmic and machine learning approaches (n = 9), physical symptoms (n = 5), and biomarkers (n = 3).Conclusions: This scoping review has explored literature on novel and advancements in pre-existing detection methods for LVO. The results of this review highlight LVO detection techniques, such as stroke scales and biomarkers, with good sensitivity and specificity performance, whilst also showing advancements to support existing LVO confirmatory methods, such as neuroimaging. |
| first_indexed | 2024-12-18T04:56:46Z |
| format | Article |
| id | doaj.art-9948cfb7823c4d5dbc483ef5d3b6080b |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-18T04:56:46Z |
| publishDate | 2022-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-9948cfb7823c4d5dbc483ef5d3b6080b2022-12-21T21:20:15ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-01-011210.3389/fneur.2021.780324780324Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping ReviewJennifer K. Nicholls0Jennifer K. Nicholls1Jonathan Ince2Jatinder S. Minhas3Jatinder S. Minhas4Emma M. L. Chung5Emma M. L. Chung6Emma M. L. Chung7Emma M. L. Chung8Department of Cardiovascular Sciences, University of Leicester, Leicester, United KingdomDepartment of Medical Physics, University Hospitals of Leicester, NHS Trust, Leicester, United KingdomDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United KingdomDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United KingdomNIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, United KingdomDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United KingdomDepartment of Medical Physics, University Hospitals of Leicester, NHS Trust, Leicester, United KingdomNIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, United KingdomSchool of Life Course Sciences, King's College London, London, United KingdomBackground: Large vessel occlusion (LVO) is the obstruction of large, proximal cerebral arteries and can account for up to 46% of acute ischaemic stroke (AIS) when both the A2 and P2 segments are included (from the anterior and posterior cerebral arteries). It is of paramount importance that LVO is promptly recognised to provide timely and effective acute stroke management. This review aims to scope recent literature to identify new emerging detection techniques for LVO. As a good comparator throughout this review, the commonly used National Institutes of Health Stroke Scale (NIHSS), at a cut-off of ≥11, has been reported to have a sensitivity of 86% and a specificity of 60% for LVO.Methods: Four electronic databases (Medline via OVID, CINAHL, Scopus, and Web of Science), and grey literature using OpenGrey, were systematically searched for published literature investigating developments in detection methods for LVO, reported from 2015 to 2021. The protocol for the search was published with the Open Science Framework (10.17605/OSF.IO/A98KN). Two independent researchers screened the titles, abstracts, and full texts of the articles, assessing their eligibility for inclusion.Results: The search identified 5,082 articles, in which 2,265 articles were screened to assess their eligibility. Sixty-two studies remained following full-text screening. LVO detection techniques were categorised into 5 groups: stroke scales (n = 30), imaging and physiological methods (n = 15), algorithmic and machine learning approaches (n = 9), physical symptoms (n = 5), and biomarkers (n = 3).Conclusions: This scoping review has explored literature on novel and advancements in pre-existing detection methods for LVO. The results of this review highlight LVO detection techniques, such as stroke scales and biomarkers, with good sensitivity and specificity performance, whilst also showing advancements to support existing LVO confirmatory methods, such as neuroimaging.https://www.frontiersin.org/articles/10.3389/fneur.2021.780324/fulllarge vessel occlusionLVOstrokestroke scalebiomarkersalgorithms |
| spellingShingle | Jennifer K. Nicholls Jennifer K. Nicholls Jonathan Ince Jatinder S. Minhas Jatinder S. Minhas Emma M. L. Chung Emma M. L. Chung Emma M. L. Chung Emma M. L. Chung Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review Frontiers in Neurology large vessel occlusion LVO stroke stroke scale biomarkers algorithms |
| title | Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review |
| title_full | Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review |
| title_fullStr | Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review |
| title_full_unstemmed | Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review |
| title_short | Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review |
| title_sort | emerging detection techniques for large vessel occlusion stroke a scoping review |
| topic | large vessel occlusion LVO stroke stroke scale biomarkers algorithms |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2021.780324/full |
| work_keys_str_mv | AT jenniferknicholls emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT jenniferknicholls emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT jonathanince emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT jatindersminhas emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT jatindersminhas emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT emmamlchung emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT emmamlchung emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT emmamlchung emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview AT emmamlchung emergingdetectiontechniquesforlargevesselocclusionstrokeascopingreview |