Computed tomography perfusion as an early predictor of malignant cerebral infarction

Introduction: Malignant middle cerebral artery infarction (MCI) needs rapid intervention. This study aimed to enhance the prediction of MCI using computed tomography perfusion (CTP) with varied quantitative benchmarks. Materials and methods: We retrospectively analyzed 253 patients from a single-cen...

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Autores: Rodríguez Vázquez, Alejandro, Laredo Gregorio, Carlos, Reyes, Luis, Dolz Alvarez de la Ballina, Guillem, Doncel Moriano, Antonio, Llansó, Laura, Rudilosso, Salvatore, Llull Estrany, Laura, Renú, Arturo, Amaro Delgado, Sergio, Torné, Ramón, Urra, Xabier, Chamorro Sánchez, Ángel
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2024
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/219888
Acceso en línea:https://hdl.handle.net/2445/219888
Access Level:acceso abierto
Palabra clave:Vasos sanguinis
Oclusions arterials
Infart cerebral
Tomografia computada per emissió de fotó simple
Artèries caròtides
Blood vessels
Arterial occlusions
Cerebral infarctio
Single-photon emission computed tomography
Carotid artery
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spelling Computed tomography perfusion as an early predictor of malignant cerebral infarctionRodríguez Vázquez, AlejandroLaredo Gregorio, CarlosReyes, LuisDolz Alvarez de la Ballina, GuillemDoncel Moriano, AntonioLlansó, LauraRudilosso, SalvatoreLlull Estrany, LauraRenú, ArturoAmaro Delgado, Sergio Torné, RamónUrra, XabierChamorro Sánchez, ÁngelVasos sanguinisOclusions arterialsInfart cerebralTomografia computada per emissió de fotó simpleArtèries caròtidesBlood vesselsArterial occlusionsCerebral infarctioSingle-photon emission computed tomographyCarotid arteryIntroduction: Malignant middle cerebral artery infarction (MCI) needs rapid intervention. This study aimed to enhance the prediction of MCI using computed tomography perfusion (CTP) with varied quantitative benchmarks. Materials and methods: We retrospectively analyzed 253 patients from a single-center registry presenting with acute, severe, proximal large vessel occlusion studied with whole-brain CTP imaging at hospital arrival within the first 24 h of symptoms-onset. MCI was defined by clinical and imaging criteria, including decreased level of consciousness, anisocoria, death due to cerebral edema, or need for decompressive craniectomy, together with midline shift ⩾6 mm, or infarction of more than 50% of the MCA territory. The predictive accuracy of baseline ASPECTS and CTP quantifications for MCI was assessed by receiver operating characteristic (ROC) area under the curve (AUC) while F-score was calculated as an indicator of precision and sensitivity. Results: Sixty-three out of 253 patients (25%) fulfilled MCI criteria and had worse clinical and imaging results than the non-MCI group. The capacity to predict MCI was lower for baseline ASPECTS (AUC 0.83, F-score 0.52, Youden's index 6), than with perfusion-based measures: relative cerebral blood volume threshold <40% (AUC 0.87, F-score 0.71, Youden's index 34 mL) or relative cerebral blood flow threshold <35% (AUC 0.87, F-score 0.62, Youden's index 67 mL). CTP based on rCBV measurements identified twice as many MCI as baseline CT ASPECTS. Discussion and conclusion: CTP-based quantifications may offer enhanced predictive capabilities for MCI compared to non-contrast baseline CT ASPECTS, potentially improving the monitoring of severe ischemic stroke patients at risk of life-threatening edema and its treatment.SAGE Publications2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/219888Articles publicats en revistes (Medicina)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1177/23969873241260965European Stroke Journal, 2024, vol. 10, num.1https://doi.org/10.1177/23969873241260965cc-by-nc-nd (c) European Stroke Journal, 2024http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2198882026-05-27T06:46:51Z
dc.title.none.fl_str_mv Computed tomography perfusion as an early predictor of malignant cerebral infarction
title Computed tomography perfusion as an early predictor of malignant cerebral infarction
spellingShingle Computed tomography perfusion as an early predictor of malignant cerebral infarction
Rodríguez Vázquez, Alejandro
Vasos sanguinis
Oclusions arterials
Infart cerebral
Tomografia computada per emissió de fotó simple
Artèries caròtides
Blood vessels
Arterial occlusions
Cerebral infarctio
Single-photon emission computed tomography
Carotid artery
title_short Computed tomography perfusion as an early predictor of malignant cerebral infarction
title_full Computed tomography perfusion as an early predictor of malignant cerebral infarction
title_fullStr Computed tomography perfusion as an early predictor of malignant cerebral infarction
title_full_unstemmed Computed tomography perfusion as an early predictor of malignant cerebral infarction
title_sort Computed tomography perfusion as an early predictor of malignant cerebral infarction
dc.creator.none.fl_str_mv Rodríguez Vázquez, Alejandro
Laredo Gregorio, Carlos
Reyes, Luis
Dolz Alvarez de la Ballina, Guillem
Doncel Moriano, Antonio
Llansó, Laura
Rudilosso, Salvatore
Llull Estrany, Laura
Renú, Arturo
Amaro Delgado, Sergio
Torné, Ramón
Urra, Xabier
Chamorro Sánchez, Ángel
author Rodríguez Vázquez, Alejandro
author_facet Rodríguez Vázquez, Alejandro
Laredo Gregorio, Carlos
Reyes, Luis
Dolz Alvarez de la Ballina, Guillem
Doncel Moriano, Antonio
Llansó, Laura
Rudilosso, Salvatore
Llull Estrany, Laura
Renú, Arturo
Amaro Delgado, Sergio
Torné, Ramón
Urra, Xabier
Chamorro Sánchez, Ángel
author_role author
author2 Laredo Gregorio, Carlos
Reyes, Luis
Dolz Alvarez de la Ballina, Guillem
Doncel Moriano, Antonio
Llansó, Laura
Rudilosso, Salvatore
Llull Estrany, Laura
Renú, Arturo
Amaro Delgado, Sergio
Torné, Ramón
Urra, Xabier
Chamorro Sánchez, Ángel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Vasos sanguinis
Oclusions arterials
Infart cerebral
Tomografia computada per emissió de fotó simple
Artèries caròtides
Blood vessels
Arterial occlusions
Cerebral infarctio
Single-photon emission computed tomography
Carotid artery
topic Vasos sanguinis
Oclusions arterials
Infart cerebral
Tomografia computada per emissió de fotó simple
Artèries caròtides
Blood vessels
Arterial occlusions
Cerebral infarctio
Single-photon emission computed tomography
Carotid artery
description Introduction: Malignant middle cerebral artery infarction (MCI) needs rapid intervention. This study aimed to enhance the prediction of MCI using computed tomography perfusion (CTP) with varied quantitative benchmarks. Materials and methods: We retrospectively analyzed 253 patients from a single-center registry presenting with acute, severe, proximal large vessel occlusion studied with whole-brain CTP imaging at hospital arrival within the first 24 h of symptoms-onset. MCI was defined by clinical and imaging criteria, including decreased level of consciousness, anisocoria, death due to cerebral edema, or need for decompressive craniectomy, together with midline shift ⩾6 mm, or infarction of more than 50% of the MCA territory. The predictive accuracy of baseline ASPECTS and CTP quantifications for MCI was assessed by receiver operating characteristic (ROC) area under the curve (AUC) while F-score was calculated as an indicator of precision and sensitivity. Results: Sixty-three out of 253 patients (25%) fulfilled MCI criteria and had worse clinical and imaging results than the non-MCI group. The capacity to predict MCI was lower for baseline ASPECTS (AUC 0.83, F-score 0.52, Youden's index 6), than with perfusion-based measures: relative cerebral blood volume threshold <40% (AUC 0.87, F-score 0.71, Youden's index 34 mL) or relative cerebral blood flow threshold <35% (AUC 0.87, F-score 0.62, Youden's index 67 mL). CTP based on rCBV measurements identified twice as many MCI as baseline CT ASPECTS. Discussion and conclusion: CTP-based quantifications may offer enhanced predictive capabilities for MCI compared to non-contrast baseline CT ASPECTS, potentially improving the monitoring of severe ischemic stroke patients at risk of life-threatening edema and its treatment.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/219888
url https://hdl.handle.net/2445/219888
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1177/23969873241260965
European Stroke Journal, 2024, vol. 10, num.1
https://doi.org/10.1177/23969873241260965
dc.rights.none.fl_str_mv cc-by-nc-nd (c) European Stroke Journal, 2024
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) European Stroke Journal, 2024
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAGE Publications
publisher.none.fl_str_mv SAGE Publications
dc.source.none.fl_str_mv Articles publicats en revistes (Medicina)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543