Cha, Soonmee, Knopp, Edmond A., Johnson, Glyn, Wetzel, Stephan G., Litt, Andrew W. and Zagzag, David (2002) Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging. Radiology, 223 (1). pp. 11-29. ISSN 1527-1315
Full text not available from this repository. (Request a copy)Abstract
Dynamic contrast agent-enhanced perfusion magnetic resonance (MR) imaging provides physiologic information that complements the anatomic information available with conventional MR imaging. Analysis of dynamic data from perfusion MR imaging, based on tracer kinetic theory, yields quantitative estimates of cerebral blood volume that reflect the underlying microvasculature and angiogenesis. Perfusion MR imaging is a fast and robust imaging technique that is increasingly used as a research tool to help evaluate and understand intracranial disease processes and as a clinical tool to help diagnose, manage, and understand intracranial mass lesions. With the increasing number of applications of perfusion MR imaging, it is important to understand the principles underlying the technique. In this review, the essential underlying physics and methods of dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging are described. The clinical applications of cerebral blood volume maps obtained with perfusion MR imaging in the differential diagnosis of intracranial mass lesions, as well as the pitfalls and limitations of the technique, are discussed. Emphasis is on the clinical role of perfusion MR imaging in providing insight into the underlying pathophysiology of cerebral microcirculation.
Item Type: | Article |
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Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Cancer Studies Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit |
Depositing User: | Pure Connector |
Date Deposited: | 28 Sep 2015 13:40 |
Last Modified: | 07 Aug 2023 15:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/54442 |
DOI: | 10.1148/radiol.2231010594 |
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