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 |
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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 & 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</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. 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><subject>Aged</subject><subject>Alberta</subject><subject>Automation</subject><subject>CAT scans</subject><subject>Clinical Decision-Making</subject><subject>Delivery of Health Care, Integrated - organization & administration</subject><subject>Diagnostic imaging</subject><subject>Early Diagnosis</subject><subject>Emergency Medical Services - organization & administration</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Healthcare industry software</subject><subject>Humans</subject><subject>Mobile Health Units - organization & administration</subject><subject>Novels</subject><subject>Original Paper</subject><subject>Predictive Value of Tests</subject><subject>Radiographic Image Interpretation, Computer-Assisted</subject><subject>Retirement benefits</subject><subject>Software</subject><subject>Stroke</subject><subject>Stroke - diagnostic imaging</subject><subject>Stroke - therapy</subject><subject>Teleradiology - organization & administration</subject><subject>Thrombolytic Therapy</subject><subject>Time Factors</subject><subject>Time-to-Treatment</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Treatment Outcome</subject><issn>1015-9770</issn><issn>1421-9786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo90TtPxDAMAOAIgXgP7AhlQjAcJE3bNOPpdDwkEEgcc-WmbgmkDSTpSfx7iu4x2cNnW7YJOePshvNM3TLG0jQvcr5DDnma8ImSRb475oxnYy7ZATkK4XNkOS_4PjlIpGApV_KQLO-MD5FOh-g6iFjTt-jdF9LHDlrTt3S-BDtANK6nSwN0blGPoDeaTm2FPsKm4NW71kNH5-DtL50t6Jt2HqnpKdBnVxmLG_nem3hC9hqwAU_X8Zgs7uaL2cPk6eX-cTZ9muhUFHFSYcqKDHneCImZBpYKVWeNrPOm1lXVVNBALRArIbgWspCc1QqElolkCEock6tV22_vfgYMsexM0Ggt9OiGUPIiySVLlCpGermiLVgsPxBs_AjODv-rh3KaKcWyJE_YCK9XUHsXgsem_PamA_9bclb-v6PcvmO0F-v5Q9VhvZWb-4_gfAW-wLfot2Bd_wfjXI4I</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Grunwald, Iris Quasar</creator><creator>Ragoschke-Schumm, Andreas</creator><creator>Kettner, Michael</creator><creator>Schwindling, Lenka</creator><creator>Roumia, Safwan</creator><creator>Helwig, Stefan</creator><creator>Manitz, Matthias</creator><creator>Walter, Silke</creator><creator>Yilmaz, Umut</creator><creator>Greveson, Eric</creator><creator>Lesmeister, Martin</creator><creator>Reith, Wolfgang</creator><creator>Fassbender, Klaus</creator><general>S. Karger AG</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6743-0705</orcidid><orcidid>https://orcid.org/0000-0001-5228-6483</orcidid><orcidid>https://orcid.org/0000-0003-3596-868X</orcidid></search><sort><creationdate>2016</creationdate><title>First Automated Stroke Imaging Evaluation via Electronic Alberta Stroke Program Early CT Score in a Mobile Stroke Unit</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-be4085e16f37e5ca0439d5f7d6fdcbbfbafad3eeb331c378710d9a3c7270ea93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Alberta</topic><topic>Automation</topic><topic>CAT scans</topic><topic>Clinical Decision-Making</topic><topic>Delivery of Health Care, Integrated - organization & administration</topic><topic>Diagnostic imaging</topic><topic>Early Diagnosis</topic><topic>Emergency Medical Services - organization & administration</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Healthcare industry software</topic><topic>Humans</topic><topic>Mobile Health Units - organization & administration</topic><topic>Novels</topic><topic>Original Paper</topic><topic>Predictive Value of Tests</topic><topic>Radiographic Image Interpretation, Computer-Assisted</topic><topic>Retirement benefits</topic><topic>Software</topic><topic>Stroke</topic><topic>Stroke - diagnostic imaging</topic><topic>Stroke - therapy</topic><topic>Teleradiology - organization & administration</topic><topic>Thrombolytic Therapy</topic><topic>Time Factors</topic><topic>Time-to-Treatment</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Cerebrovascular diseases (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grunwald, Iris Quasar</au><au>Ragoschke-Schumm, Andreas</au><au>Kettner, Michael</au><au>Schwindling, Lenka</au><au>Roumia, Safwan</au><au>Helwig, Stefan</au><au>Manitz, Matthias</au><au>Walter, Silke</au><au>Yilmaz, Umut</au><au>Greveson, Eric</au><au>Lesmeister, Martin</au><au>Reith, Wolfgang</au><au>Fassbender, Klaus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>First Automated Stroke Imaging Evaluation via Electronic Alberta Stroke Program Early CT Score in a Mobile Stroke Unit</atitle><jtitle>Cerebrovascular diseases (Basel, Switzerland)</jtitle><addtitle>Cerebrovasc Dis</addtitle><date>2016</date><risdate>2016</risdate><volume>42</volume><issue>5-6</issue><spage>332</spage><epage>338</epage><pages>332-338</pages><issn>1015-9770</issn><eissn>1421-9786</eissn><abstract>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.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>27304197</pmid><doi>10.1159/000446861</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-6743-0705</orcidid><orcidid>https://orcid.org/0000-0001-5228-6483</orcidid><orcidid>https://orcid.org/0000-0003-3596-868X</orcidid><oa>free_for_read</oa></addata></record> |
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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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