Literature DB >> 18057929

The anterior cerebral artery is an appropriate arterial input function for perfusion-CT processing in patients with acute stroke.

Max Wintermark1, Benison C Lau, Jeffrey Chien, Sandeep Arora.   

Abstract

INTRODUCTION: Dynamic perfusion-CT (PCT) with deconvolution requires an arterial input function (AIF) for postprocessing. In clinical settings, the anterior cerebral artery (ACA) is often chosen for simplicity. The goals of this study were to determine how the AIF selection influences PCT results in acute stroke patients and whether the ACA is an appropriate default AIF.
METHODS: We retrospectively identified consecutive patients suspected of hemispheric stroke of less than 48 h duration who were evaluated on admission by PCT. PCT datasets were postprocessed using multiple AIF, and cerebral blood volume (CBV) and flow (CBF), and mean transit time (MTT) values were measured in the corresponding territories. Results from corresponding territories in the same patients were compared using paired t-tests. The volumes of infarct core and tissue at risk obtained with different AIFs were compared to the final infarct volume.
RESULTS: Of 113 patients who met the inclusion criteria, 55 with stroke were considered for analysis. The MTT values obtained with an "ischemic" AIF tended to be shorter (P=0.055) and the CBF values higher (P=0.108) than those obtained using a "nonischemic" AIF. CBV values were not influenced by the selection of the AIF. No statistically significant difference was observed between the size of the PCT infarct core (P=0.121) and tissue at risk (P=0.178), regardless of AIF selection.
CONCLUSION: In acute stroke patients, the selection of the AIF has no statistically significant impact of the PCT results; standardization of the PCT postprocessing using the ACA as the default AIF is adequate.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18057929     DOI: 10.1007/s00234-007-0336-8

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  24 in total

1.  Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data.

Authors:  L Ostergaard; D A Chesler; R M Weisskoff; A G Sorensen; B R Rosen
Journal:  J Cereb Blood Flow Metab       Date:  1999-06       Impact factor: 6.200

2.  Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition.

Authors:  F Calamante; D G Gadian; A Connelly
Journal:  Magn Reson Med       Date:  2000-09       Impact factor: 4.668

3.  Defining a local arterial input function for perfusion MRI using independent component analysis.

Authors:  Fernando Calamante; Morten Mørup; Lars Kai Hansen
Journal:  Magn Reson Med       Date:  2004-10       Impact factor: 4.668

4.  Effect of using local arterial input functions on cerebral blood flow estimation.

Authors:  Cory Lorenz; Thomas Benner; Chloe Joan Lopez; Hakan Ay; Ming Wang Zhu; Hannu Aronen; Jari Karonen; Yawu Liu; Juho Nuutinen; A Gregory Sorensen
Journal:  J Magn Reson Imaging       Date:  2006-07       Impact factor: 4.813

5.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

6.  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

7.  Systematic comparison of perfusion-CT and CT-angiography in acute stroke patients.

Authors:  Jessica C Tan; William P Dillon; Songling Liu; Felix Adler; Wade S Smith; Max Wintermark
Journal:  Ann Neurol       Date:  2007-06       Impact factor: 10.422

8.  Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke.

Authors:  Fernando Calamante; Lisa Willats; David G Gadian; Alan Connelly
Journal:  Magn Reson Med       Date:  2006-05       Impact factor: 4.668

9.  The association between neurological deficit in acute ischemic stroke and mean transit time: comparison of four different perfusion MRI algorithms.

Authors:  Peter D Schellinger; Lawrence L Latour; Chen-Sen Wu; Julio A Chalela; Steven Warach
Journal:  Neuroradiology       Date:  2005-11-29       Impact factor: 2.804

10.  Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics.

Authors:  Fernando Calamante; Peter J Yim; Juan R Cebral
Journal:  Neuroimage       Date:  2003-06       Impact factor: 6.556

View more
  21 in total

1.  Role of CT perfusion imaging in the diagnosis and treatment of vasospasm.

Authors:  Edward D Greenberg; Y Pierre Gobin; Howard Riina; Carl E Johnson; Apostolos J Tsiouris; Joseph Comunale; Pina C Sanelli
Journal:  Imaging Med       Date:  2011-06-01

2.  Low-Dose Volume-Perfusion CT of the Brain: Effects of Radiation Dose Reduction on Performance of Perfusion CT Algorithms.

Authors:  A E Othman; S Afat; C Brockmann; O Nikoubashman; G Bier; M A Brockmann; K Nikolaou; J H Tai; Z P Yang; J H Kim; M Wiesmann
Journal:  Clin Neuroradiol       Date:  2015-12-15       Impact factor: 3.649

3.  Perfusion CT compared to H(2) (15)O/O (15)O PET in patients with chronic cervical carotid artery occlusion.

Authors:  Amita Kamath; Wade S Smith; William J Powers; Alessandro Cianfoni; Jeffrey D Chien; Tom Videen; Michael T Lawton; Bruce Finley; William P Dillon; Max Wintermark
Journal:  Neuroradiology       Date:  2008-05-29       Impact factor: 2.804

4.  Evaluating CT Perfusion Deficits in Global Cerebral Edema after Aneurysmal Subarachnoid Hemorrhage.

Authors:  H Baradaran; V Fodera; D Mir; K Kesavabhotla; K Kesavobhotla; J Ivanidze; U Ozbek; A Gupta; J Claassen; P C Sanelli
Journal:  AJNR Am J Neuroradiol       Date:  2015-05-14       Impact factor: 3.825

5.  Quantifying reperfusion of the ischemic region on whole-brain computed tomography perfusion.

Authors:  Longting Lin; Xin Cheng; Andrew Bivard; Christopher R Levi; Qiang Dong; Mark W Parsons
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

6.  Comparison of CT perfusion and digital subtraction angiography in the evaluation of delayed cerebral ischemia.

Authors:  Ronan P Killeen; Alvin I Mushlin; Carl E Johnson; Joseph P Comunale; Apostolos John Tsiouris; Holly Delaney; Allison Dunning; Pina C Sanelli
Journal:  Acad Radiol       Date:  2011-06-11       Impact factor: 3.173

7.  Leukoaraiosis and sex predict the hyperacute ischemic core volume.

Authors:  Nils Henninger; Eugene Lin; Diogo C Haussen; Laura L Lehman; Deepak Takhtani; Magdy Selim; Majaz Moonis
Journal:  Stroke       Date:  2012-12-11       Impact factor: 7.914

8.  Cost-effectiveness of CT angiography and perfusion imaging for delayed cerebral ischemia and vasospasm in aneurysmal subarachnoid hemorrhage.

Authors:  P C Sanelli; A Pandya; A Z Segal; A Gupta; S Hurtado-Rua; J Ivanidze; K Kesavabhotla; D Mir; A I Mushlin; M G M Hunink
Journal:  AJNR Am J Neuroradiol       Date:  2014-05-08       Impact factor: 3.825

Review 9.  [Neurologic emergencies and multislice computed tomography].

Authors:  L Eftimov; D Morhard; M Reiser; B Ertl-Wagner
Journal:  Radiologe       Date:  2009-06       Impact factor: 0.635

Review 10.  CT perfusion in acute stroke: know the mimics, potential pitfalls, artifacts, and technical errors.

Authors:  Rajiv Mangla; Sven Ekhom; Babak S Jahromi; Jeevak Almast; Manisha Mangla; Per-Lennart Westesson
Journal:  Emerg Radiol       Date:  2013-06-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.