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Comparison of 10 perfusion MRI parameters in 97 sub-6-hour stroke patients using voxel-based receiver operating characteristics analysis.
Christensen, Søren; Mouridsen, Kim; Wu, Ona; Hjort, Niels; Karstoft, Henrik; Thomalla, Götz; Röther, Joachim; Fiehler, Jens; Kucinski, Thomas; Østergaard, Leif.
Afiliação
  • Christensen S; Center of Functionally Integrative Neuroscience, Department of Neuroradiology, Aarhus University Hospital, Building 30, Nørrebrogade 44, 8000 Aarhus C, Denmark. sorenc@unimelb.edu.au
Stroke ; 40(6): 2055-61, 2009 Jun.
Article em En | MEDLINE | ID: mdl-19359626
ABSTRACT
BACKGROUND AND

PURPOSE:

Perfusion-weighted imaging can predict infarct growth in acute stroke and potentially be used to select patients with tissue at risk for reperfusion therapies. However, the lack of consensus and evidence on how to best create PWI maps that reflect tissue at risk challenges comparisons of results and acute decision-making in trials. Deconvolution using an arterial input function has been hypothesized to generate maps of a more quantitative nature and with better prognostic value than simpler summary measures such as time-to-peak or the first moment of the concentration time curve. We sought to compare 10 different perfusion parameters by their ability to predict tissue infarction in acute ischemic stroke.

METHODS:

In a retrospective analysis of 97 patients with acute stroke studied within 6 hours from symptom onset, we used receiver operating characteristics in a voxel-based analysis to compare 10 perfusion parameters time-to-peak, first moment, cerebral blood volume and flow, and 6 variants of time to peak of the residue function and mean transit time maps. Subanalysis assessed the effect of reperfusion on outcome prediction.

RESULTS:

The most predictive maps were the summary measures first moment and time-to-peak. First moment was significantly more predictive than time to peak of the residue function and local arterial input function-based methods (P<0.05), but not significantly better than conventional mean transit time maps.

CONCLUSIONS:

Results indicated that if a single map type was to be used to predict infarction, first moment maps performed at least as well as deconvolved measures. Deconvolution decouples delay from tissue perfusion; we speculate this negatively impacts infarct prediction.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Circulação Cerebrovascular / Acidente Vascular Cerebral Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Stroke Ano de publicação: 2009 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Circulação Cerebrovascular / Acidente Vascular Cerebral Tipo de estudo: Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Stroke Ano de publicação: 2009 Tipo de documento: Article País de afiliação: Dinamarca