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European Radiology
Published in: European Radiology 6/2021

01-06-2021 | Computed Tomography | Neuro

Dual-energy computed tomography in acute ischemic stroke: state-of-the-art

Authors: Stephanie Mangesius, Tanja Janjic, Ruth Steiger, Lukas Haider, Rafael Rehwald, Michael Knoflach, Gerlig Widmann, Elke Gizewski, Astrid Grams

Published in: European Radiology | Issue 6/2021

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Abstract

Dual-energy computed tomography (DECT) allows distinguishing between tissues with similar X-ray attenuation but different atomic numbers. Recent studies demonstrated that this technique has several areas of application in patients with ischemic stroke and a potential impact on patient management. After endovascular stroke therapy (EST), hyperdense areas can represent either hemorrhage or contrast staining due to blood-brain barrier disruption, which can be differentiated reliably by DECT. Further applications are improved visualization of early infarctions, compared to single-energy computed tomography, and prediction of transformation into infarction or hemorrhage in contrast-enhancing areas. In addition, DECT allows detection and evaluation of the material composition of intra-arterial clots after EST. This review summarizes the clinical state-of-the-art of DECT in patients with stroke, and features some prospects for future developments.

Key points

• Dual-energy computed tomography (DECT) allows differentiation between tissues with similar X-ray attenuation but differentatomic numbers.
• DECT has several areas of application in patients with ischemic stroke and a potential impact on patient management.
• Prospects for future developments in DECT may improve treatment decision-making.
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Metadata
Title
Dual-energy computed tomography in acute ischemic stroke: state-of-the-art
Authors
Stephanie Mangesius
Tanja Janjic
Ruth Steiger
Lukas Haider
Rafael Rehwald
Michael Knoflach
Gerlig Widmann
Elke Gizewski
Astrid Grams
Publication date
01-06-2021
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 6/2021
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-07543-9

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