High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke
Blood-brain barrier (BBB) permeability has been proposed as a predictor of hemorrhagic transformation (HT) after tissue plasminogen activator (tPA) administration; however, the reliability of perfusion computed tomography (PCT) permeability imaging for predicting HT is uncertain. We aimed to determi...
| Autores: | , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10256/15618 |
| Acceso en línea: | http://hdl.handle.net/10256/15618 |
| Access Level: | acceso abierto |
| Palabra clave: | Malalties cerebrovasculars Cerebrovascular disease Isquèmia cerebral Cerebral ischemia |
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High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in strokePuig Alcántara, JosepDaunis-i-Estadella, PepusVan Eendenburg, CecileCarrillo García, MaríaAboud, CarlosHernández Pérez, MaríaSerena, JoaquínBiarnés, CarlesNael, KambizLiebeskind, David S.Thomalla, GötzMenon, Bijoy K.Demchuk, AndrewWintermark, MaxPedraza, S.Castellanos Rodrigo, MarMalalties cerebrovascularsCerebrovascular diseaseIsquèmia cerebralCerebral ischemiaBlood-brain barrier (BBB) permeability has been proposed as a predictor of hemorrhagic transformation (HT) after tissue plasminogen activator (tPA) administration; however, the reliability of perfusion computed tomography (PCT) permeability imaging for predicting HT is uncertain. We aimed to determine the performance of high-permeability region size on PCT (HPrsPCT) in predicting HT after intravenous tPA administration in patients with acute stroke. Methods We performed a multimodal CT protocol (non-contrast CT, PCT, CT angiography) to prospectively study patients with middle cerebral artery occlusion treated with tPA within 4.5 hours of symptom onset. HT was graded at 24 hours using the European-Australasian Acute Stroke Study II criteria. ROC curves selected optimal volume threshold, and multivariate logistic regression analysis identified predictors of HT. Results The study included 156 patients (50% male, median age 75.5 years). Thirty-seven (23,7%) developed HT [12 (7,7%), parenchymal hematoma type 2 (PH-2)]. At admission, patients with HT had lower platelet values, higher NIHSS scores, increased ischemic lesion volumes, larger HPrs-PCT, and poorer collateral status. The negative predictive value of HPrs-PCT at a threshold of 7mL/100g/min was 0.84 for HT and 0.93 for PH-2. The multiple regression analysis selected HPrs-PCT at 7mL/100g/min combined with platelets and baseline NIHSS score as the best model for predicting HT (AUC 0.77). HPrs-PCT at 7mL/100g/min was the only independent predictor of PH-2 (OR 1, AUC 0.68, p = 0.045). Conclusions HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HTPublic Library of Science (PLoS)2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpeer-reviewedapplication/pdfhttp://hdl.handle.net/10256/15618http://hdl.handle.net/10256/15618PLoS One, 2017, vol. 12, núm. 11, p. e0188238Articles publicats (D-IMA)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0188238info:eu-repo/semantics/altIdentifier/eissn/1932-6203Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10256/156182026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke |
| title |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke |
| spellingShingle |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke Puig Alcántara, Josep Malalties cerebrovasculars Cerebrovascular disease Isquèmia cerebral Cerebral ischemia |
| title_short |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke |
| title_full |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke |
| title_fullStr |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke |
| title_full_unstemmed |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke |
| title_sort |
High-permeability region size on perfusion CT predicts hemorrhagic transformation after intravenous thrombolysis in stroke |
| dc.creator.none.fl_str_mv |
Puig Alcántara, Josep Daunis-i-Estadella, Pepus Van Eendenburg, Cecile Carrillo García, María Aboud, Carlos Hernández Pérez, María Serena, Joaquín Biarnés, Carles Nael, Kambiz Liebeskind, David S. Thomalla, Götz Menon, Bijoy K. Demchuk, Andrew Wintermark, Max Pedraza, S. Castellanos Rodrigo, Mar |
| author |
Puig Alcántara, Josep |
| author_facet |
Puig Alcántara, Josep Daunis-i-Estadella, Pepus Van Eendenburg, Cecile Carrillo García, María Aboud, Carlos Hernández Pérez, María Serena, Joaquín Biarnés, Carles Nael, Kambiz Liebeskind, David S. Thomalla, Götz Menon, Bijoy K. Demchuk, Andrew Wintermark, Max Pedraza, S. Castellanos Rodrigo, Mar |
| author_role |
author |
| author2 |
Daunis-i-Estadella, Pepus Van Eendenburg, Cecile Carrillo García, María Aboud, Carlos Hernández Pérez, María Serena, Joaquín Biarnés, Carles Nael, Kambiz Liebeskind, David S. Thomalla, Götz Menon, Bijoy K. Demchuk, Andrew Wintermark, Max Pedraza, S. Castellanos Rodrigo, Mar |
| author2_role |
author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Malalties cerebrovasculars Cerebrovascular disease Isquèmia cerebral Cerebral ischemia |
| topic |
Malalties cerebrovasculars Cerebrovascular disease Isquèmia cerebral Cerebral ischemia |
| description |
Blood-brain barrier (BBB) permeability has been proposed as a predictor of hemorrhagic transformation (HT) after tissue plasminogen activator (tPA) administration; however, the reliability of perfusion computed tomography (PCT) permeability imaging for predicting HT is uncertain. We aimed to determine the performance of high-permeability region size on PCT (HPrsPCT) in predicting HT after intravenous tPA administration in patients with acute stroke. Methods We performed a multimodal CT protocol (non-contrast CT, PCT, CT angiography) to prospectively study patients with middle cerebral artery occlusion treated with tPA within 4.5 hours of symptom onset. HT was graded at 24 hours using the European-Australasian Acute Stroke Study II criteria. ROC curves selected optimal volume threshold, and multivariate logistic regression analysis identified predictors of HT. Results The study included 156 patients (50% male, median age 75.5 years). Thirty-seven (23,7%) developed HT [12 (7,7%), parenchymal hematoma type 2 (PH-2)]. At admission, patients with HT had lower platelet values, higher NIHSS scores, increased ischemic lesion volumes, larger HPrs-PCT, and poorer collateral status. The negative predictive value of HPrs-PCT at a threshold of 7mL/100g/min was 0.84 for HT and 0.93 for PH-2. The multiple regression analysis selected HPrs-PCT at 7mL/100g/min combined with platelets and baseline NIHSS score as the best model for predicting HT (AUC 0.77). HPrs-PCT at 7mL/100g/min was the only independent predictor of PH-2 (OR 1, AUC 0.68, p = 0.045). Conclusions HPrs-PCT can help predict HT after tPA, and is particularly useful in identifying patients at low risk of developing HT |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion peer-reviewed |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10256/15618 http://hdl.handle.net/10256/15618 |
| url |
http://hdl.handle.net/10256/15618 |
| dc.language.none.fl_str_mv |
Inglés |
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Inglés |
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info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0188238 info:eu-repo/semantics/altIdentifier/eissn/1932-6203 |
| dc.rights.none.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Public Library of Science (PLoS) |
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Public Library of Science (PLoS) |
| dc.source.none.fl_str_mv |
PLoS One, 2017, vol. 12, núm. 11, p. e0188238 Articles publicats (D-IMA) reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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