Literature DB >> 18504757

Inferring origin of vascular supply from tracer arrival timing patterns using bolus tracking MRI.

Søren Christensen1, Fernando Calamante, Niels Hjort, Ona Wu, Anne Dorte Blankholm, Patricia Desmond, Stephen Davis, Leif Ostergaard.   

Abstract

PURPOSE: To investigate the potential of novel postprocessing and visualization techniques to distinguish presence of collateral flow using Bolus Tracking MRI. Collateral blood supply is believed to be of paramount importance in acute stroke, yet clinical evaluation is challenging as the gold standard digital subtraction angiography is often not feasible in the acute scenario.
MATERIALS AND METHODS: In principle, bolus arrival delay data contains information about the route of blood supply into tissue and hereby presence of collateral flow patterns. We first examined the potential of current clinical bolus tracking protocols to accurately characterize bolus arrival delay. Using the simulation results, we analyzed bolus tracking data from one normal volunteer and one acute stroke patient.
RESULTS: The bolus arrival patterns in the volunteer and in the normal hemisphere of the patient were found to be qualitatively similar and in good agreement with physiology. The bolus was seen to spread from the larger arteries toward the periphery. The stroke hemisphere in the patient indicated a retrograde direction of flow on the cortical mantle consistent with leptomeningeal vessels.
CONCLUSION: Bolus tracking MRI can likely be used to distinguish collateral flow patterns from normal flow patterns. 2008 Wiley-Liss, Inc

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Year:  2008        PMID: 18504757     DOI: 10.1002/jmri.21386

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  10 in total

1.  A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.

Authors:  Atle Bjørnerud; Kyrre E Emblem
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

Review 2.  Absolute quantification of perfusion using dynamic susceptibility contrast MRI: pitfalls and possibilities.

Authors:  Linda Knutsson; Freddy Ståhlberg; Ronnie Wirestam
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3.  Validating a local Arterial Input Function method for improved perfusion quantification in stroke.

Authors:  Lisa Willats; Soren Christensen; Henry K Ma; Geoffrey A Donnan; Alan Connelly; Fernando Calamante
Journal:  J Cereb Blood Flow Metab       Date:  2011-06-01       Impact factor: 6.200

4.  Arterial spin-labeling MRI can identify the presence and intensity of collateral perfusion in patients with moyamoya disease.

Authors:  Greg Zaharchuk; Huy M Do; Michael P Marks; Jarrett Rosenberg; Michael E Moseley; Gary K Steinberg
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5.  Optimal Computed Tomographic Perfusion Scan Duration for Assessment of Acute Stroke Lesion Volumes.

Authors:  Aimen S Kasasbeh; Søren Christensen; Matus Straka; Nishant Mishra; Michael Mlynash; Roland Bammer; Gregory W Albers; Maarten G Lansberg
Journal:  Stroke       Date:  2016-11-15       Impact factor: 7.914

Review 6.  MR perfusion imaging in acute ischemic stroke.

Authors:  William A Copen; Pamela W Schaefer; Ona Wu
Journal:  Neuroimaging Clin N Am       Date:  2011-05       Impact factor: 2.264

7.  Reliability of cerebral blood volume maps as a substitute for diffusion-weighted imaging in acute ischemic stroke.

Authors:  Amy R Deipolyi; Ona Wu; Eric A Macklin; Pamela W Schaefer; Lee H Schwamm; R Gilberto Gonzalez; William A Copen
Journal:  J Magn Reson Imaging       Date:  2012-07-03       Impact factor: 4.813

8.  Dynamics of regional distribution of ischemic lesions in middle cerebral artery trunk occlusion relates to collateral circulation.

Authors:  Bastian Cheng; Amir Golsari; Jens Fiehler; Michael Rosenkranz; Christian Gerloff; Götz Thomalla
Journal:  J Cereb Blood Flow Metab       Date:  2010-10-13       Impact factor: 6.200

Review 9.  Collateral Circulation in Ischemic Stroke: Assessment Tools and Therapeutic Strategies.

Authors:  Oh Young Bang; Mayank Goyal; David S Liebeskind
Journal:  Stroke       Date:  2015-10-08       Impact factor: 7.914

10.  Multimodal MRI for ischemic stroke: from acute therapy to preventive strategies.

Authors:  Oh Young Bang
Journal:  J Clin Neurol       Date:  2009-09-30       Impact factor: 3.077

  10 in total

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