Literature DB >> 33609295

Predictors of perfusion computed tomography alterations in stroke mimics attended as stroke code.

Alicia Gonzalez-Martinez1, Santiago Trillo1, Carmen Benavides-Bernaldo de Quirós2, Laura Casado-Fernández1, María De Toledo3, Antonio Barbosa-Del Olmo2, Lorena Vega Piris4, Carmen Ramos1, Rafael Manzanares-Soler2, Álvaro Ximénez-Carrillo1, José Vivancos1.   

Abstract

BACKGROUND AND
PURPOSE: Stroke mimics (SMs) account for a significant number of patients attended as stroke code (SC) with an increasing number over the years. Recent studies show perfusion computed tomography (PCT) alterations in some SMs, especially in seizures. The objective of our study was to evaluate the clinical characteristics and PCT alterations in SMs attended as SC in order to identify potential predictors of PCT alterations in SMs.
METHODS: A retrospective study was performed including all SC activations undergoing a multimodal CT study including non-enhanced computed tomography (CT), CT angiography and PCT, as part of our SC protocol, over 39 months. Patients with a final diagnosis of SM after complete diagnosis work-up were therefore selected. Clinical variables, diagnosis, PCT alteration patterns and type of map affected (Tmax or time to peak, cerebral blood flow and cerebral blood volume) were registered.
RESULTS: Stroke mimics represent up to 16% (284/1761) of SCs with a complete multimodal study according to our series. Amongst SMs, 26% (74/284) showed PCT alterations. PCT abnormalities are more prevalent in seizures and status epilepticus and the main pattern is alteration of the time to peak map, of unilateral hemispheric distribution or of non-vascular territory. In our series, the independent predictors of alteration in PCT in SMs are aphasia, female sex and older age.
CONCLUSIONS: Perfusion computed tomography alterations can be found amongst almost a third of SMs attended as SC, especially older women presenting with aphasia with a final diagnosis of epileptic seizures and status epilepticus.
© 2021 European Academy of Neurology.

Entities:  

Keywords:  CT perfusion; neuroradiology; seizures; stroke code; stroke mimics

Year:  2021        PMID: 33609295     DOI: 10.1111/ene.14783

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  3 in total

1.  Stroke Mimics in the Acute Setting: Role of Multimodal CT Protocol.

Authors:  E Prodi; L Danieli; C Manno; A Pagnamenta; E Pravatà; L Roccatagliata; C Städler; C W Cereda; A Cianfoni
Journal:  AJNR Am J Neuroradiol       Date:  2021-12-30       Impact factor: 3.825

2.  CT perfusion: stroke, seizure or both?

Authors:  Elizebath Davies; Fathalla Elnagi; Thomas Smith
Journal:  BMJ Case Rep       Date:  2021-12-30

3.  Outcome of SARS-CoV-2 Infection in 121 Patients with Inborn Errors of Immunity: A Cross-Sectional Study.

Authors:  Ekaterini Simões Goudouris; Fernanda Pinto-Mariz; Leonardo Oliveira Mendonça; Carolina Sanchez Aranda; Rafaela Rolla Guimarães; Cristina Kokron; Myrthes Toledo Barros; Flávia Anísio; Maria Luiza Oliva Alonso; Fernanda Marcelino; Solange Oliveira Rodrigues Valle; Sergio Dortas Junior; Irma Douglas Paes Barreto; Janáira Fernandes Severo Ferreira; Pérsio Roxo-Junior; Almerinda Maria do Rego Silva; Fernanda Lugão Campinhos; Carmem Bonfim; Gisele Loth; Juliana Folloni Fernandes; Julia Lopes Garcia; Albertina Capelo; Olga Akiko Takano; Maria Isabel Valdomir Nadaf; Eliana C Toledo; Luciana Araújo Oliveira Cunha; Regina Sumiko Watanabe Di Gesu; Laire Schidlowski; Priscila Fillipo; Daniélli C Bichuetti-Silva; Gustavo Soldateli; Natasha Rebouças Ferraroni; Ellen de Oliveira Dantas; Simone Pestana; Eli Mansour; Raisa Gusso Ulaf; Carolina Prando; Antonio Condino-Neto; Anete Sevciovic Grumach
Journal:  J Clin Immunol       Date:  2021-06-23       Impact factor: 8.317

  3 in total

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