Comparison of 10 perfusion MRI parameters in 97 sub-6-hour stroke patients using voxel-based receiver operating characteristics analysis.

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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.

in: STROKE, Jahrgang 40, Nr. 6, 6, 2009, S. 2055-2061.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

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@article{edb9819aec1049c6b8a261cd52ead7d1,
title = "Comparison of 10 perfusion MRI parameters in 97 sub-6-hour stroke patients using voxel-based receiver operating characteristics analysis.",
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",
author = "S{\o}ren Christensen and Kim Mouridsen and Ona Wu and Niels Hjort and Henrik Karstoft and G{\"o}tz Thomalla and Joachim R{\"o}ther and Jens Fiehler and Thomas Kucinski and Leif {\O}stergaard",
year = "2009",
language = "Deutsch",
volume = "40",
pages = "2055--2061",
journal = "STROKE",
issn = "0039-2499",
publisher = "Lippincott Williams and Wilkins",
number = "6",

}

RIS

TY - JOUR

T1 - Comparison of 10 perfusion MRI parameters in 97 sub-6-hour stroke patients using voxel-based receiver operating characteristics analysis.

AU - Christensen, Søren

AU - Mouridsen, Kim

AU - Wu, Ona

AU - Hjort, Niels

AU - Karstoft, Henrik

AU - Thomalla, Götz

AU - Röther, Joachim

AU - Fiehler, Jens

AU - Kucinski, Thomas

AU - Østergaard, Leif

PY - 2009

Y1 - 2009

N2 - 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

AB - 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

M3 - SCORING: Zeitschriftenaufsatz

VL - 40

SP - 2055

EP - 2061

JO - STROKE

JF - STROKE

SN - 0039-2499

IS - 6

M1 - 6

ER -