First Automated Stroke Imaging Evaluation via Electronic Alberta Stroke Program Early CT Score in a Mobile Stroke Unit

Background: Recently, a mobile stroke unit (MSU) was shown to facilitate acute stroke treatment directly at the emergency site. The neuroradiological expertise of the MSU is improved by its ability to detect early ischemic damage via automatic electronic (e) evaluation of CT scans using a novel soft...

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Veröffentlicht in:Cerebrovascular diseases (Basel, Switzerland) Switzerland), 2016, Vol.42 (5-6), p.332-338
Hauptverfasser: Grunwald, Iris Quasar, Ragoschke-Schumm, Andreas, Kettner, Michael, Schwindling, Lenka, Roumia, Safwan, Helwig, Stefan, Manitz, Matthias, Walter, Silke, Yilmaz, Umut, Greveson, Eric, Lesmeister, Martin, Reith, Wolfgang, Fassbender, Klaus
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container_end_page 338
container_issue 5-6
container_start_page 332
container_title Cerebrovascular diseases (Basel, Switzerland)
container_volume 42
creator Grunwald, Iris Quasar
Ragoschke-Schumm, Andreas
Kettner, Michael
Schwindling, Lenka
Roumia, Safwan
Helwig, Stefan
Manitz, Matthias
Walter, Silke
Yilmaz, Umut
Greveson, Eric
Lesmeister, Martin
Reith, Wolfgang
Fassbender, Klaus
description Background: Recently, a mobile stroke unit (MSU) was shown to facilitate acute stroke treatment directly at the emergency site. The neuroradiological expertise of the MSU is improved by its ability to detect early ischemic damage via automatic electronic (e) evaluation of CT scans using a novel software program that calculates the electronic Alberta Stroke Program Early CT Score (e-ASPECTS). Methods: The feasibility of integrating e-ASPECTS into an ambulance was examined, and the clinical integration and utility of the software in 15 consecutive cases evaluated. Results: Implementation of e-ASPECTS onto the MSU and into the prehospital stroke management was feasible. The values of e-ASPECTS matched with the results of conventional neuroradiologic analysis by the MSU team. The potential benefits of e-ASPECTS were illustrated by three cases. In case 1, excluding early infarct signs supported the decision to directly perform prehospital thrombolysis. In case 2, in which stroke was caused by large-vessel occlusion, the high e-ASPECTS value supported the decision to initiate intra-arterial treatment and triage the patient to a comprehensive stroke center. In case 3, the e-ASPECTS value was 10, indicating the absence of early infarct signs despite pre-existing cerebral microangiopathy and macroangiopathy, a finding indicating the program's robustness against artefacts. Conclusions: This study on the integration of e-ASPECTS into the prehospital stroke management via a MSU showed for the first time that such integration is feasible, and aids both decision regarding the treatment option and the triage regarding the most appropriate target hospital.
doi_str_mv 10.1159/000446861
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The neuroradiological expertise of the MSU is improved by its ability to detect early ischemic damage via automatic electronic (e) evaluation of CT scans using a novel software program that calculates the electronic Alberta Stroke Program Early CT Score (e-ASPECTS). Methods: The feasibility of integrating e-ASPECTS into an ambulance was examined, and the clinical integration and utility of the software in 15 consecutive cases evaluated. Results: Implementation of e-ASPECTS onto the MSU and into the prehospital stroke management was feasible. The values of e-ASPECTS matched with the results of conventional neuroradiologic analysis by the MSU team. The potential benefits of e-ASPECTS were illustrated by three cases. In case 1, excluding early infarct signs supported the decision to directly perform prehospital thrombolysis. In case 2, in which stroke was caused by large-vessel occlusion, the high e-ASPECTS value supported the decision to initiate intra-arterial treatment and triage the patient to a comprehensive stroke center. In case 3, the e-ASPECTS value was 10, indicating the absence of early infarct signs despite pre-existing cerebral microangiopathy and macroangiopathy, a finding indicating the program's robustness against artefacts. Conclusions: This study on the integration of e-ASPECTS into the prehospital stroke management via a MSU showed for the first time that such integration is feasible, and aids both decision regarding the treatment option and the triage regarding the most appropriate target hospital.</description><identifier>ISSN: 1015-9770</identifier><identifier>EISSN: 1421-9786</identifier><identifier>DOI: 10.1159/000446861</identifier><identifier>PMID: 27304197</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Aged ; Alberta ; Automation ; CAT scans ; Clinical Decision-Making ; Delivery of Health Care, Integrated - organization &amp; administration ; Diagnostic imaging ; Early Diagnosis ; Emergency Medical Services - organization &amp; administration ; Feasibility Studies ; Female ; Healthcare industry software ; Humans ; Mobile Health Units - organization &amp; administration ; Novels ; Original Paper ; Predictive Value of Tests ; Radiographic Image Interpretation, Computer-Assisted ; Retirement benefits ; Software ; Stroke ; Stroke - diagnostic imaging ; Stroke - therapy ; Teleradiology - organization &amp; administration ; Thrombolytic Therapy ; Time Factors ; Time-to-Treatment ; Tomography ; Tomography, X-Ray Computed ; Treatment Outcome</subject><ispartof>Cerebrovascular diseases (Basel, Switzerland), 2016, Vol.42 (5-6), p.332-338</ispartof><rights>2016 S. Karger AG, Basel</rights><rights>2016 S. Karger AG, Basel.</rights><rights>COPYRIGHT 2016 S. Karger AG</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-be4085e16f37e5ca0439d5f7d6fdcbbfbafad3eeb331c378710d9a3c7270ea93</citedby><cites>FETCH-LOGICAL-c438t-be4085e16f37e5ca0439d5f7d6fdcbbfbafad3eeb331c378710d9a3c7270ea93</cites><orcidid>0000-0002-6743-0705 ; 0000-0001-5228-6483 ; 0000-0003-3596-868X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2427,4022,27922,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27304197$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Grunwald, Iris Quasar</creatorcontrib><creatorcontrib>Ragoschke-Schumm, Andreas</creatorcontrib><creatorcontrib>Kettner, Michael</creatorcontrib><creatorcontrib>Schwindling, Lenka</creatorcontrib><creatorcontrib>Roumia, Safwan</creatorcontrib><creatorcontrib>Helwig, Stefan</creatorcontrib><creatorcontrib>Manitz, Matthias</creatorcontrib><creatorcontrib>Walter, Silke</creatorcontrib><creatorcontrib>Yilmaz, Umut</creatorcontrib><creatorcontrib>Greveson, Eric</creatorcontrib><creatorcontrib>Lesmeister, Martin</creatorcontrib><creatorcontrib>Reith, Wolfgang</creatorcontrib><creatorcontrib>Fassbender, Klaus</creatorcontrib><title>First Automated Stroke Imaging Evaluation via Electronic Alberta Stroke Program Early CT Score in a Mobile Stroke Unit</title><title>Cerebrovascular diseases (Basel, Switzerland)</title><addtitle>Cerebrovasc Dis</addtitle><description>Background: Recently, a mobile stroke unit (MSU) was shown to facilitate acute stroke treatment directly at the emergency site. The neuroradiological expertise of the MSU is improved by its ability to detect early ischemic damage via automatic electronic (e) evaluation of CT scans using a novel software program that calculates the electronic Alberta Stroke Program Early CT Score (e-ASPECTS). Methods: The feasibility of integrating e-ASPECTS into an ambulance was examined, and the clinical integration and utility of the software in 15 consecutive cases evaluated. Results: Implementation of e-ASPECTS onto the MSU and into the prehospital stroke management was feasible. The values of e-ASPECTS matched with the results of conventional neuroradiologic analysis by the MSU team. The potential benefits of e-ASPECTS were illustrated by three cases. In case 1, excluding early infarct signs supported the decision to directly perform prehospital thrombolysis. In case 2, in which stroke was caused by large-vessel occlusion, the high e-ASPECTS value supported the decision to initiate intra-arterial treatment and triage the patient to a comprehensive stroke center. In case 3, the e-ASPECTS value was 10, indicating the absence of early infarct signs despite pre-existing cerebral microangiopathy and macroangiopathy, a finding indicating the program's robustness against artefacts. 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The neuroradiological expertise of the MSU is improved by its ability to detect early ischemic damage via automatic electronic (e) evaluation of CT scans using a novel software program that calculates the electronic Alberta Stroke Program Early CT Score (e-ASPECTS). Methods: The feasibility of integrating e-ASPECTS into an ambulance was examined, and the clinical integration and utility of the software in 15 consecutive cases evaluated. Results: Implementation of e-ASPECTS onto the MSU and into the prehospital stroke management was feasible. The values of e-ASPECTS matched with the results of conventional neuroradiologic analysis by the MSU team. The potential benefits of e-ASPECTS were illustrated by three cases. In case 1, excluding early infarct signs supported the decision to directly perform prehospital thrombolysis. In case 2, in which stroke was caused by large-vessel occlusion, the high e-ASPECTS value supported the decision to initiate intra-arterial treatment and triage the patient to a comprehensive stroke center. In case 3, the e-ASPECTS value was 10, indicating the absence of early infarct signs despite pre-existing cerebral microangiopathy and macroangiopathy, a finding indicating the program's robustness against artefacts. Conclusions: This study on the integration of e-ASPECTS into the prehospital stroke management via a MSU showed for the first time that such integration is feasible, and aids both decision regarding the treatment option and the triage regarding the most appropriate target hospital.</abstract><cop>Basel, Switzerland</cop><pub>S. 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identifier ISSN: 1015-9770
ispartof Cerebrovascular diseases (Basel, Switzerland), 2016, Vol.42 (5-6), p.332-338
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subjects Aged
Alberta
Automation
CAT scans
Clinical Decision-Making
Delivery of Health Care, Integrated - organization & administration
Diagnostic imaging
Early Diagnosis
Emergency Medical Services - organization & administration
Feasibility Studies
Female
Healthcare industry software
Humans
Mobile Health Units - organization & administration
Novels
Original Paper
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted
Retirement benefits
Software
Stroke
Stroke - diagnostic imaging
Stroke - therapy
Teleradiology - organization & administration
Thrombolytic Therapy
Time Factors
Time-to-Treatment
Tomography
Tomography, X-Ray Computed
Treatment Outcome
title First Automated Stroke Imaging Evaluation via Electronic Alberta Stroke Program Early CT Score in a Mobile Stroke Unit
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