Literature DB >> 14730256

Imaging viable brain tissue with CT scan during acute stroke.

Reto A Meuli1.   

Abstract

Viability of the cerebral parenchyma is dependent on cerebral blood flow (CBF). The assessment of cerebral perfusion in patients with acute stroke, in a clinically relevant time frame, could be of utmost importance for patient selection before thrombolytic therapy. In individual patients, quantitative mapping of CBF to indicate the severity and potential reversibility of neuronal damage can be used to predict which brain tissue will be salvaged with reperfusion or die without it (penumbra), as well as which brain tissue is already infarcted. Recent investigations of perfusion CT have shown major advances in the assessment of acute stroke patients. Perfusion CT offers a number of practical advantages over other cerebral perfusion imaging methods as it can be performed immediately after unenhanced CT, and used, in general, to exclude cerebral haemorrhage. It is fast (typical procedure time <5 min) and does not require specialized computer hardware. The accuracy of cerebral perfusion maps has been demonstrated for normal and decreased CBF value by comparison with xenon CT used as a gold standard. Perfusion CT infarct and penumbra maps provide a potential recuperation ratio (PRR) (or Lausanne Stroke Index), defined as PRR = penumbra/ (penumbra + infarct). This index is correlated with the improvement of the National Institutes of Health Stroke Scale (NIHSS) in case of arterial recanalization. Also, the size of the ischaemic area (infarct + penumbra) is correlated with the NIHSS score on hospital admission. Further studies may demonstrate the use of perfusion CT for the assessment of penumbra dynamics in function-specific brain areas. Perfusion CT is now ready to be used in clinical trials as a decision-making tool to tailor more precisely the thrombolytic therapy to the individual patient. Copyright 2004 S. Karger AG, Basel

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Year:  2004        PMID: 14730256     DOI: 10.1159/000075302

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  7 in total

1.  Multimodal imaging does not delay intravenous thrombolytic therapy in acute stroke.

Authors:  K M Salottolo; C V Fanale; K A Leonard; D F Frei; D Bar-Or
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-10       Impact factor: 3.825

2.  Perfusion CT helps decision making for thrombolysis when there is no clear time of onset.

Authors:  K D Hellier; J L Hampton; J V Guadagno; N P Higgins; N M Antoun; D J Day; J H Gillard; E A Warburton; J-C Baron
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-03       Impact factor: 10.154

3.  Accuracy and anatomical coverage of perfusion CT assessment of the blood-brain barrier permeability: one bolus versus two boluses.

Authors:  Jan Willem Dankbaar; Jason Hom; Thomas Schneider; Su-Chun Cheng; Benison C Lau; Irene van der Schaaf; Sunny Virmani; Scott Pohlman; William P Dillon; Max Wintermark
Journal:  Cerebrovasc Dis       Date:  2008-10-23       Impact factor: 2.762

4.  Interventional neuroradiology of stroke, still not dead.

Authors:  Vitor Mendes Pereira; Karl-Olof Lövblad
Journal:  World J Radiol       Date:  2013-12-28

5.  Prediction of functional outcome in patients with primary intracerebral hemorrhage by clinical-computed tomographic correlations.

Authors:  Mohammad Yousuf Rathor; Mohammad Fauzi Abdul Rani; A R Jamalludin; M Amran; T C A Shahrin; A Shah
Journal:  J Res Med Sci       Date:  2012-11       Impact factor: 1.852

6.  Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details.

Authors:  Andreas Fieselmann; Markus Kowarschik; Arundhuti Ganguly; Joachim Hornegger; Rebecca Fahrig
Journal:  Int J Biomed Imaging       Date:  2011-08-28

7.  Relationship of nocturnal concentrations of melatonin, gamma-aminobutyric acid and total antioxidants in peripheral blood with insomnia after stroke: study protocol for a prospective non-randomized controlled trial.

Authors:  Wei Zhang; Fang Li; Tong Zhang
Journal:  Neural Regen Res       Date:  2017-08       Impact factor: 5.135

  7 in total

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