Literature DB >> 11935075

Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke: assumptions, limitations, and potential implications for clinical use.

F Calamante1, D G Gadian, A Connelly.   

Abstract

BACKGROUND: MR techniques have been very powerful in providing indicators of tissue perfusion, particularly in studies of cerebral ischemia. There is considerable interest in performing absolute perfusion measurements, with the aim of improving the characterization of tissue "at risk" of stroke. However, some important caveats relating to absolute measurements need to be taken into account. The purpose of this article is to discuss some of the issues involved and the potential implications for absolute cerebral blood flow measurements in clinical use. SUMMARY OF COMMENT: In bolus tracking MRI, deconvolution of the concentration-time course can in theory provide accurate quantification. However, there are several important assumptions in the tracer kinetic model used, some of which may be invalid in cerebral ischemia. These can introduce significant errors in perfusion quantification.
CONCLUSIONS: Although we believe that bolus tracking MRI is a powerful technique for the evaluation of perfusion in cerebral ischemia, interpretation of perfusion maps requires caution; this is particularly true when absolute quantification is attempted. Work is currently under way in a number of centers to address these problems, and with appropriate modeling they may be overcome in the future. In the interim, we believe that it is necessary for users of bolus tracking perfusion data to be aware of the current technical limitations if they are to avoid misinterpretation or overinterpretation of their findings.

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Year:  2002        PMID: 11935075     DOI: 10.1161/01.str.0000014208.05597.33

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  73 in total

Review 1.  Perfusion-weighted magnetic resonance imaging of the brain: techniques and application in children.

Authors:  Thierry A G M Huisman; A Gregory Sorensen
Journal:  Eur Radiol       Date:  2003-06-25       Impact factor: 5.315

2.  Cerebral perfusion impairment correlates with the decrease of CT density in acute ischaemic stroke.

Authors:  Thomas Kucinski; Amitava Majumder; René Knab; Dirk Naumann; Jens Fiehler; Ole Väterlein; Bernd Eckert; Joachim Röther; Hermann Zeumer
Journal:  Neuroradiology       Date:  2004-09       Impact factor: 2.804

3.  Robust quantification of microvascular transit times via linear dynamical systems using two-photon fluorescence microscopy data.

Authors:  Lakshminarayan V Chinta; Liis Lindvere; Bojana Stefanovic
Journal:  J Cereb Blood Flow Metab       Date:  2012-06-20       Impact factor: 6.200

4.  The impact of schizophrenia on frontal perfusion parameters: a DSC-MRI study.

Authors:  Denis Peruzzo; Gianluca Rambaldelli; Alessandra Bertoldo; Marcella Bellani; Roberto Cerini; Marini Silvia; Roberto Pozzi Mucelli; Michele Tansella; Paolo Brambilla
Journal:  J Neural Transm (Vienna)       Date:  2011-01-04       Impact factor: 3.575

Review 5.  Foundations of advanced magnetic resonance imaging.

Authors:  Roland Bammer; Stefan Skare; Rexford Newbould; Chunlei Liu; Vincent Thijs; Stefan Ropele; David B Clayton; Gunnar Krueger; Michael E Moseley; Gary H Glover
Journal:  NeuroRx       Date:  2005-04

6.  Multi-delay arterial spin labeling perfusion MRI in moyamoya disease--comparison with CT perfusion imaging.

Authors:  Rui Wang; Songlin Yu; Jeffry R Alger; Zhentao Zuo; Juan Chen; Rong Wang; Jing An; Bo Wang; Jizong Zhao; Rong Xue; Danny J J Wang
Journal:  Eur Radiol       Date:  2014-02-21       Impact factor: 5.315

7.  Blood flow magnetic resonance imaging of retinal degeneration.

Authors:  Yingxia Li; Haiying Cheng; Qiang Shen; Moon Kim; Peter M Thule; Darin E Olson; Machelle T Pardue; Timothy Q Duong
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-10-24       Impact factor: 4.799

8.  Heterogeneity of cortical lesions in multiple sclerosis: an MRI perfusion study.

Authors:  Denis Peruzzo; Marco Castellaro; Massimiliano Calabrese; Elisa Veronese; Francesca Rinaldi; Valentina Bernardi; Alice Favaretto; Paolo Gallo; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2012-12-19       Impact factor: 6.200

9.  Optimization of perfusion CT protocol for imaging of extracranial head and neck tumors.

Authors:  Sotirios Bisdas; Chuan Zhi Foo; Choon Hua Thng; Thomas J Vogl; Tong San Koh
Journal:  J Digit Imaging       Date:  2008-05-03       Impact factor: 4.056

Review 10.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

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