Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis
Objective To investigate the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke. Methods A computerized literature search of Ovid MEDLINE and EMBASE was conducted up to October 29, 2018. Search terms included acute ischemic stroke , hemorrhag...
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| Veröffentlicht in: | European radiology 2019-08, Vol.29 (8), p.4077-4087 |
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| creator | Suh, Chong Hyun Jung, Seung Chai Cho, Se Jin Kim, Donghyun Lee, Jung Bin Woo, Dong-Cheol Oh, Woo Yong Lee, Jong Gu Kim, Kyung Won |
| description | Objective
To investigate the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke.
Methods
A computerized literature search of Ovid MEDLINE and EMBASE was conducted up to October 29, 2018. Search terms included
acute ischemic stroke
,
hemorrhagic transformation
, and
perfusion CT
. Studies assessing the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke were included. Two reviewers independently evaluated the eligibility of the studies. A bivariate random effects model was used to calculate the pooled sensitivity and pooled specificity. Multiple subgroup analyses were performed.
Results
Fifteen original articles with a total of 1134 patients were included. High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT are associated with hemorrhagic transformation. The pooled sensitivity and specificity were 84% (95% CI, 71–91%) and 74% (95% CI, 67–81%), respectively. The area under the hierarchical summary receiver operating characteristic curve was 0.84 (95% CI, 0.81–0.87). The Higgins
I
2
statistic demonstrated that heterogeneity was present in the sensitivity (
I
2
= 80.21%) and specificity (
I
2
= 85.94%).
Conclusion
Although various perfusion CT parameters have been used across studies, the current evidence supports the use of perfusion CT to predict hemorrhagic transformation in acute ischemic stroke.
Key Points
•
High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT were associated with hemorrhagic transformation
.
•
Perfusion CT has moderate diagnostic performance for the prediction of hemorrhagic transformation in acute ischemic stroke
.
•
The pooled sensitivity was 84%, and the pooled specificity was 74%
. |
| doi_str_mv | 10.1007/s00330-018-5936-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2165098894</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2164400548</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-5635725add5c9440f159ca96a716d42bc01908970f92ea8d4106b16100f4c97e3</originalsourceid><addsrcrecordid>eNp1kU1v1DAQhi0EokvhB3BBlrhwMR3HdmxzQyu-pErlUM6W15m0KZt48SRF--_r7RaQkHqy5HnmndE8jL2W8F4C2DMCUAoESCeMV62wT9hKatUICU4_ZSvwygnrvT5hL4huAMBLbZ-zEwWttNqZFdt_x9IvNOSJry95nwvfFeyGNB9-cs-vccylXMerIfG5xIkqMsb76jDxmJYZ-UCpYhWgueSf-IFHTnua8cAlXvB2wN88Th0fcY4iTnG7p4Fesmd93BK-enhP2Y_Pny7XX8X5xZdv64_nImnlZmFaZWxjYteZ5LWGXhqfom-jlW2nm00C6cF5C71vMLpOS2g3sq336XXyFtUpe3fM3ZX8a0Gaw1gXxu02TpgXCo1sDXjnvK7o2__Qm7yUuu89VYeD0a5S8kilkokK9mFXhjGWfZAQDl7C0UuoXsLBS7C1581D8rIZsfvb8UdEBZojQLU0XWH5N_rx1DsYPJiI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2164400548</pqid></control><display><type>article</type><title>Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Suh, Chong Hyun ; Jung, Seung Chai ; Cho, Se Jin ; Kim, Donghyun ; Lee, Jung Bin ; Woo, Dong-Cheol ; Oh, Woo Yong ; Lee, Jong Gu ; Kim, Kyung Won</creator><creatorcontrib>Suh, Chong Hyun ; Jung, Seung Chai ; Cho, Se Jin ; Kim, Donghyun ; Lee, Jung Bin ; Woo, Dong-Cheol ; Oh, Woo Yong ; Lee, Jong Gu ; Kim, Kyung Won</creatorcontrib><description>Objective
To investigate the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke.
Methods
A computerized literature search of Ovid MEDLINE and EMBASE was conducted up to October 29, 2018. Search terms included
acute ischemic stroke
,
hemorrhagic transformation
, and
perfusion CT
. Studies assessing the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke were included. Two reviewers independently evaluated the eligibility of the studies. A bivariate random effects model was used to calculate the pooled sensitivity and pooled specificity. Multiple subgroup analyses were performed.
Results
Fifteen original articles with a total of 1134 patients were included. High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT are associated with hemorrhagic transformation. The pooled sensitivity and specificity were 84% (95% CI, 71–91%) and 74% (95% CI, 67–81%), respectively. The area under the hierarchical summary receiver operating characteristic curve was 0.84 (95% CI, 0.81–0.87). The Higgins
I
2
statistic demonstrated that heterogeneity was present in the sensitivity (
I
2
= 80.21%) and specificity (
I
2
= 85.94%).
Conclusion
Although various perfusion CT parameters have been used across studies, the current evidence supports the use of perfusion CT to predict hemorrhagic transformation in acute ischemic stroke.
Key Points
•
High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT were associated with hemorrhagic transformation
.
•
Perfusion CT has moderate diagnostic performance for the prediction of hemorrhagic transformation in acute ischemic stroke
.
•
The pooled sensitivity was 84%, and the pooled specificity was 74%
.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-018-5936-7</identifier><identifier>PMID: 30617485</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bivariate analysis ; Blood-brain barrier ; Blood-Brain Barrier - diagnostic imaging ; Brain - diagnostic imaging ; Brain Ischemia - complications ; Brain Ischemia - diagnostic imaging ; Brain Ischemia - pathology ; Computed tomography ; Diagnostic Radiology ; Diagnostic systems ; Hemorrhage ; Heterogeneity ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Ischemia ; Medicine ; Medicine & Public Health ; Membrane permeability ; Meta-analysis ; Neuro ; Neuroradiology ; Perfusion ; Permeability ; Predictive Value of Tests ; Radiology ; Reproducibility of Results ; ROC Curve ; Sensitivity ; Sensitivity analysis ; Sensitivity and Specificity ; Stroke ; Stroke - complications ; Stroke - diagnostic imaging ; Stroke - pathology ; Subgroups ; Systematic review ; Tomography, X-Ray Computed - methods ; Ultrasound</subject><ispartof>European radiology, 2019-08, Vol.29 (8), p.4077-4087</ispartof><rights>European Society of Radiology 2019</rights><rights>European Radiology is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-5635725add5c9440f159ca96a716d42bc01908970f92ea8d4106b16100f4c97e3</citedby><cites>FETCH-LOGICAL-c438t-5635725add5c9440f159ca96a716d42bc01908970f92ea8d4106b16100f4c97e3</cites><orcidid>0000-0001-5559-7973</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-018-5936-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-018-5936-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30617485$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Suh, Chong Hyun</creatorcontrib><creatorcontrib>Jung, Seung Chai</creatorcontrib><creatorcontrib>Cho, Se Jin</creatorcontrib><creatorcontrib>Kim, Donghyun</creatorcontrib><creatorcontrib>Lee, Jung Bin</creatorcontrib><creatorcontrib>Woo, Dong-Cheol</creatorcontrib><creatorcontrib>Oh, Woo Yong</creatorcontrib><creatorcontrib>Lee, Jong Gu</creatorcontrib><creatorcontrib>Kim, Kyung Won</creatorcontrib><title>Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objective
To investigate the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke.
Methods
A computerized literature search of Ovid MEDLINE and EMBASE was conducted up to October 29, 2018. Search terms included
acute ischemic stroke
,
hemorrhagic transformation
, and
perfusion CT
. Studies assessing the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke were included. Two reviewers independently evaluated the eligibility of the studies. A bivariate random effects model was used to calculate the pooled sensitivity and pooled specificity. Multiple subgroup analyses were performed.
Results
Fifteen original articles with a total of 1134 patients were included. High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT are associated with hemorrhagic transformation. The pooled sensitivity and specificity were 84% (95% CI, 71–91%) and 74% (95% CI, 67–81%), respectively. The area under the hierarchical summary receiver operating characteristic curve was 0.84 (95% CI, 0.81–0.87). The Higgins
I
2
statistic demonstrated that heterogeneity was present in the sensitivity (
I
2
= 80.21%) and specificity (
I
2
= 85.94%).
Conclusion
Although various perfusion CT parameters have been used across studies, the current evidence supports the use of perfusion CT to predict hemorrhagic transformation in acute ischemic stroke.
Key Points
•
High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT were associated with hemorrhagic transformation
.
•
Perfusion CT has moderate diagnostic performance for the prediction of hemorrhagic transformation in acute ischemic stroke
.
•
The pooled sensitivity was 84%, and the pooled specificity was 74%
.</description><subject>Bivariate analysis</subject><subject>Blood-brain barrier</subject><subject>Blood-Brain Barrier - diagnostic imaging</subject><subject>Brain - diagnostic imaging</subject><subject>Brain Ischemia - complications</subject><subject>Brain Ischemia - diagnostic imaging</subject><subject>Brain Ischemia - pathology</subject><subject>Computed tomography</subject><subject>Diagnostic Radiology</subject><subject>Diagnostic systems</subject><subject>Hemorrhage</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Ischemia</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Membrane permeability</subject><subject>Meta-analysis</subject><subject>Neuro</subject><subject>Neuroradiology</subject><subject>Perfusion</subject><subject>Permeability</subject><subject>Predictive Value of Tests</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>ROC Curve</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Sensitivity and Specificity</subject><subject>Stroke</subject><subject>Stroke - complications</subject><subject>Stroke - diagnostic imaging</subject><subject>Stroke - pathology</subject><subject>Subgroups</subject><subject>Systematic review</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1v1DAQhi0EokvhB3BBlrhwMR3HdmxzQyu-pErlUM6W15m0KZt48SRF--_r7RaQkHqy5HnmndE8jL2W8F4C2DMCUAoESCeMV62wT9hKatUICU4_ZSvwygnrvT5hL4huAMBLbZ-zEwWttNqZFdt_x9IvNOSJry95nwvfFeyGNB9-cs-vccylXMerIfG5xIkqMsb76jDxmJYZ-UCpYhWgueSf-IFHTnua8cAlXvB2wN88Th0fcY4iTnG7p4Fesmd93BK-enhP2Y_Pny7XX8X5xZdv64_nImnlZmFaZWxjYteZ5LWGXhqfom-jlW2nm00C6cF5C71vMLpOS2g3sq336XXyFtUpe3fM3ZX8a0Gaw1gXxu02TpgXCo1sDXjnvK7o2__Qm7yUuu89VYeD0a5S8kilkokK9mFXhjGWfZAQDl7C0UuoXsLBS7C1581D8rIZsfvb8UdEBZojQLU0XWH5N_rx1DsYPJiI</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Suh, Chong Hyun</creator><creator>Jung, Seung Chai</creator><creator>Cho, Se Jin</creator><creator>Kim, Donghyun</creator><creator>Lee, Jung Bin</creator><creator>Woo, Dong-Cheol</creator><creator>Oh, Woo Yong</creator><creator>Lee, Jong Gu</creator><creator>Kim, Kyung Won</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5559-7973</orcidid></search><sort><creationdate>20190801</creationdate><title>Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis</title><author>Suh, Chong Hyun ; Jung, Seung Chai ; Cho, Se Jin ; Kim, Donghyun ; Lee, Jung Bin ; Woo, Dong-Cheol ; Oh, Woo Yong ; Lee, Jong Gu ; Kim, Kyung Won</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-5635725add5c9440f159ca96a716d42bc01908970f92ea8d4106b16100f4c97e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bivariate analysis</topic><topic>Blood-brain barrier</topic><topic>Blood-Brain Barrier - diagnostic imaging</topic><topic>Brain - diagnostic imaging</topic><topic>Brain Ischemia - complications</topic><topic>Brain Ischemia - diagnostic imaging</topic><topic>Brain Ischemia - pathology</topic><topic>Computed tomography</topic><topic>Diagnostic Radiology</topic><topic>Diagnostic systems</topic><topic>Hemorrhage</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Ischemia</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Membrane permeability</topic><topic>Meta-analysis</topic><topic>Neuro</topic><topic>Neuroradiology</topic><topic>Perfusion</topic><topic>Permeability</topic><topic>Predictive Value of Tests</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>ROC Curve</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Sensitivity and Specificity</topic><topic>Stroke</topic><topic>Stroke - complications</topic><topic>Stroke - diagnostic imaging</topic><topic>Stroke - pathology</topic><topic>Subgroups</topic><topic>Systematic review</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suh, Chong Hyun</creatorcontrib><creatorcontrib>Jung, Seung Chai</creatorcontrib><creatorcontrib>Cho, Se Jin</creatorcontrib><creatorcontrib>Kim, Donghyun</creatorcontrib><creatorcontrib>Lee, Jung Bin</creatorcontrib><creatorcontrib>Woo, Dong-Cheol</creatorcontrib><creatorcontrib>Oh, Woo Yong</creatorcontrib><creatorcontrib>Lee, Jong Gu</creatorcontrib><creatorcontrib>Kim, Kyung Won</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suh, Chong Hyun</au><au>Jung, Seung Chai</au><au>Cho, Se Jin</au><au>Kim, Donghyun</au><au>Lee, Jung Bin</au><au>Woo, Dong-Cheol</au><au>Oh, Woo Yong</au><au>Lee, Jong Gu</au><au>Kim, Kyung Won</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2019-08-01</date><risdate>2019</risdate><volume>29</volume><issue>8</issue><spage>4077</spage><epage>4087</epage><pages>4077-4087</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objective
To investigate the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke.
Methods
A computerized literature search of Ovid MEDLINE and EMBASE was conducted up to October 29, 2018. Search terms included
acute ischemic stroke
,
hemorrhagic transformation
, and
perfusion CT
. Studies assessing the diagnostic performance of perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke were included. Two reviewers independently evaluated the eligibility of the studies. A bivariate random effects model was used to calculate the pooled sensitivity and pooled specificity. Multiple subgroup analyses were performed.
Results
Fifteen original articles with a total of 1134 patients were included. High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT are associated with hemorrhagic transformation. The pooled sensitivity and specificity were 84% (95% CI, 71–91%) and 74% (95% CI, 67–81%), respectively. The area under the hierarchical summary receiver operating characteristic curve was 0.84 (95% CI, 0.81–0.87). The Higgins
I
2
statistic demonstrated that heterogeneity was present in the sensitivity (
I
2
= 80.21%) and specificity (
I
2
= 85.94%).
Conclusion
Although various perfusion CT parameters have been used across studies, the current evidence supports the use of perfusion CT to predict hemorrhagic transformation in acute ischemic stroke.
Key Points
•
High blood-brain barrier permeability and hypoperfusion status derived from perfusion CT were associated with hemorrhagic transformation
.
•
Perfusion CT has moderate diagnostic performance for the prediction of hemorrhagic transformation in acute ischemic stroke
.
•
The pooled sensitivity was 84%, and the pooled specificity was 74%
.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30617485</pmid><doi>10.1007/s00330-018-5936-7</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-5559-7973</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2019-08, Vol.29 (8), p.4077-4087 |
| issn | 0938-7994 1432-1084 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2165098894 |
| source | MEDLINE; SpringerNature Journals |
| subjects | Bivariate analysis Blood-brain barrier Blood-Brain Barrier - diagnostic imaging Brain - diagnostic imaging Brain Ischemia - complications Brain Ischemia - diagnostic imaging Brain Ischemia - pathology Computed tomography Diagnostic Radiology Diagnostic systems Hemorrhage Heterogeneity Humans Imaging Internal Medicine Interventional Radiology Ischemia Medicine Medicine & Public Health Membrane permeability Meta-analysis Neuro Neuroradiology Perfusion Permeability Predictive Value of Tests Radiology Reproducibility of Results ROC Curve Sensitivity Sensitivity analysis Sensitivity and Specificity Stroke Stroke - complications Stroke - diagnostic imaging Stroke - pathology Subgroups Systematic review Tomography, X-Ray Computed - methods Ultrasound |
| title | Perfusion CT for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis |
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