(Stroke. 2005;36:2032.)
© 2005 American Heart Association, Inc.
Comments, Opinions, and Reviews |
From the Department of Radiology (M.W., W.P.D., G.Z.), Neuroradiology Section, University of California, San Francisco; Department of Radiology (M.W.), University Hospital, Lausanne, Switzerland; Department of Neuroradiology (M.S., J.-M.C., V.D.), Pellegrin University Hospital, Bordeaux, France; INSERM (E.B.), Université Joseph Fourier, NeuroImagerie Fonctionnelle et Métabolique, CHU Michallon - Pav. B, Grenoble, France; Department of Nuclear Medicine (K.B.), National Institute of Neurosurgery, Budapest, Hungary; Department of Neuroradiology (J.D.E.), Duke University Medical Center, Durham, NC; Cerebral Blood Flow Laboratory and Brain Injury Research Center (T.C.G.), Division of Neurosurgery, School of Medicine, UCLA Medical Center, Los Angeles, Calif; Department of Radiology (C.B.G.), St Luc University Hospital, Université Catholique de Louvain, Brussels, Belgium; Radiology Department (S.P.), IDI, Hospital Dr Josep Trueta, Girona, Spain; Department of Neurosurgery (J.-F.S.), Rambam Medical Center, The Technion, B. Rappaport Faculty of Medicine, Haifa, Israel; Department of Neurosurgery (T.N.), Tokyo Medical and Dental University, Japan; Department of Neurosurgery (H.Y.), University of New Mexico, Albuquerque.
Reprint requests to Max Wintermark, MD, Department of Radiology, Neuroradiology Section, University of California, San Francisco, 505 Parnassus Ave, Room L358, Box 0628, San Francisco, CA 94143-0628. E-mail Max.Wintermark{at}radiology.ucsf.edu
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Summary of Review This article addresses the main imaging techniques dedicated to brain hemodynamics. It represents a comparative overview established by consensus among specialists of the various techniques.
Conclusions For clinicians, this article should offer a clearer picture of the pros and cons of currently available brain perfusion imaging techniques and assist them in choosing the proper method for every specific clinical setting.
Key Words: computed tomography magnetic resonance imaging tomography, emission computed ultrasonography, Doppler, transcranial perfusion stroke tomography, emission-computed, single-photon
Numerous imaging techniques have been developed and applied to evaluate brain hemodynamics. The main imaging techniques dedicated to brain hemodynamics are positron emission tomography (PET), single photon emission computed tomography (SPECT), Xenon-enhanced computed tomography (XeCT), dynamic perfusion computed tomography (PCT), MRI dynamic susceptibility contrast (DSC), arterial spin labeling (ASL), and Doppler ultrasound. Most of these techniques rely on mathematical models developed at the beginning of the century.14 All these techniques give similar information about brain hemodynamics in the form of parameters such as cerebral blood flow (CBF) or cerebral blood volume (CBV). They use different tracers (diffusible or nondiffusible, endogenous or exogenous) and have different technical requirements. Some are feasible at bedside and others not. The duration of data acquisition and processing varies from one technique to the other. Brain perfusion imaging techniques also differ by quantitative accuracy, brain coverage, and spatial resolution (Table 1 available online only in the full version of this article at http://www.strokeaha.org). These differences constitute as many advantages as drawbacks in various clinical settings.
The goal of this article is a comparative overview of the main brain hemodynamics imaging techniques established by consensus among specialists of the different techniques. For clinicians, this should offer a clearer picture of the pros and cons of available brain hemodynamics imaging methods and assist them in choosing the proper technique for every specific clinical setting. The different imaging techniques are presented according to the same template. A technical description, including what kind of contrast is used and whether radiation is involved, is followed by a discussion of the technical requirements. Notably, the duration of a routine study is addressed. Then comes an in-depth discussion of the interpretation of the results, including a description of the underlying mathematical model, the duration of the data postprocessing, the measured parameters, the accuracy of the values in normal parenchymal pixels, in pixels containing larges vessels, and in pathological pixels with altered hemodynamics, and the reproducibility of the technique. The feasibility of the technique in children and at bedside is also addressed, as well as the afforded brain coverage and spatial resolution and the minimal time interval between 2 successive studies. Finally, the typical clinical applications are reported, as well as the availability of the technique in the emergency setting.
The full version of this article is available online only at http://www.strokeaha.org.
Received March 24, 2005; revision received May 15, 2005; accepted May 18, 2005.
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