Literature DB >> 20538824

Delay correction for the assessment of blood-brain barrier permeability using first-pass dynamic perfusion CT.

T Schneider1, J Hom, J Bredno, J W Dankbaar, S-C Cheng, M Wintermark.   

Abstract

SUMMARY: Hemorrhagic transformation is a serious potential complication of ischemic stroke with damage to the BBB as one of the contributing mechanisms. BBB permeability measurements extracted from PCT by using the Patlak model can provide a valuable assessment of the extent of BBB damage. Unfortunately, Patlak assumptions require extended PCT acquisition, increasing the risk of motion artifacts. A necessary correction is presented for obtaining accurate BBB permeability measurements from first-pass PCT.

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Mesh：

Year:  2010        PMID： 20538824      PMCID： PMC7966055          DOI： 10.3174/ajnr.A2152

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN： 0195-6108            Impact factor:   3.825


  18 in total

1.  Measurement of regional cerebral blood volume by computerized axial tomography.

Authors:  G Ladurner; E Zilkha; D Iliff; G H du Boulay; J Marshall
Journal:  J Neurol Neurosurg Psychiatry       Date:  1976-02       Impact factor: 10.154

2.  Activation of PDGF-CC by tissue plasminogen activator impairs blood-brain barrier integrity during ischemic stroke.

Authors:  Enming J Su; Linda Fredriksson; Melissa Geyer; Erika Folestad; Jacqueline Cale; Johanna Andrae; Yamei Gao; Kristian Pietras; Kris Mann; Manuel Yepes; Dudley K Strickland; Christer Betsholtz; Ulf Eriksson; Daniel A Lawrence
Journal:  Nat Med       Date:  2008-06-22       Impact factor: 53.440

Review 3.  Quantitative assessment of regional cerebral blood flows by perfusion CT studies at low injection rates: a critical review of the underlying theoretical models.

Authors:  M Wintermark; P Maeder; J P Thiran; P Schnyder; R Meuli
Journal:  Eur Radiol       Date:  2001       Impact factor: 5.315

4.  Hemorrhagic transformation in acute ischemic stroke. The MAST-E study. MAST-E Group.

Authors:  A Jaillard; C Cornu; A Durieux; T Moulin; F Boutitie; K R Lees; M Hommel
Journal:  Stroke       Date:  1999-07       Impact factor: 7.914

5.  Tissue mean transit time from dynamic computed tomography by a simple deconvolution technique.

Authors:  L Axel
Journal:  Invest Radiol       Date:  1983 Jan-Feb       Impact factor: 6.016

6.  Prediction of subsequent hemorrhage in acute ischemic stroke using permeability CT imaging and a distributed parameter tracer kinetic model.

Authors:  S Bisdas; M Hartel; L H Cheong; T S Koh; T J Vogl
Journal:  J Neuroradiol       Date:  2007-05       Impact factor: 3.447

7.  Quantitative measurement of blood-brain barrier permeability using perfusion-CT in extra-axial brain tumors.

Authors:  A Cianfoni; S Cha; W G Bradley; W P Dillon; M Wintermark
Journal:  J Neuroradiol       Date:  2006-06       Impact factor: 3.447

8.  Detection of early vessel leakiness in acute ischemic stroke using computed tomography perfusion may indicate hemorrhagic transformation.

Authors:  S Bisdas; M Hartel; L H Cheong; T S Koh
Journal:  Acta Radiol       Date:  2007-04       Impact factor: 1.990

9.  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

10.  Measuring elevated microvascular permeability and predicting hemorrhagic transformation in acute ischemic stroke using first-pass dynamic perfusion CT imaging.

Authors:  K Lin; K S Kazmi; M Law; J Babb; N Peccerelli; B K Pramanik
Journal:  AJNR Am J Neuroradiol       Date:  2007-08       Impact factor: 3.825
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  6 in total

1.  Quantification of blood-to-brain transfer rate in multiple sclerosis.

Authors:  Saeid Taheri; Gary A Rosenberg; Corey Ford
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2.  Determination of vascular permeability coefficients under slow luminal filling.

Authors:  James G Truslow; Joe Tien
Journal:  Microvasc Res       Date:  2013-07-23       Impact factor: 3.514

3.  A fast nonlinear regression method for estimating permeability in CT perfusion imaging.

Authors:  Edwin Bennink; Alan J Riordan; Alexander D Horsch; Jan Willem Dankbaar; Birgitta K Velthuis; Hugo W de Jong
Journal:  J Cereb Blood Flow Metab       Date:  2013-07-24       Impact factor: 6.200

4.  Improving low-dose blood-brain barrier permeability quantification using sparse high-dose induced prior for Patlak model.

Authors:  Ruogu Fang; Kolbeinn Karlsson; Tsuhan Chen; Pina C Sanelli
Journal:  Med Image Anal       Date:  2013-10-17       Impact factor: 8.545

Review 5.  Blood-brain barrier permeability imaging using perfusion computed tomography.

Authors:  Jernej Avsenik; Sotirios Bisdas; Katarina Surlan Popovic
Journal:  Radiol Oncol       Date:  2015-03-25       Impact factor: 2.991

6.  Measurement of blood-brain barrier permeability in acute ischemic stroke using standard first-pass perfusion CT data.

Authors:  Giang Truong Nguyen; Alan Coulthard; Andrew Wong; Nabeel Sheikh; Robert Henderson; John D O'Sullivan; David C Reutens
Journal:  Neuroimage Clin       Date:  2013-04-22       Impact factor: 4.881
  6 in total

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