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Cardiovascular magnetic resonance in pericardial diseases

Open access
Bogaert, Jan, Francone, Marco·2009·Journal of Cardiovascular Magnetic Resonance

Abstract

The pericardium and pericardial diseases in particular have received, in contrast to other topics in the field of cardiology, relatively limited interest. Today, despite improved knowledge of pathophysiology of pericardial diseases and the availability of a wide spectrum of diagnostic tools, the diagnostic challenge remains. Not only the clinical presentation may be atypical, mimicking other cardiac, pulmonary or pleural diseases; in developed countries a shift for instance in the epidemiology of constrictive pericarditis has been noted. Accurate decision making is crucial taking into account the significant morbidity and mortality caused by complicated pericardial diseases, and the potential benefit of therapeutic interventions. Imaging herein has an important role, and cardiovascular magnetic resonance (CMR) is definitely one of the most versatile modalities to study the pericardium. It fuses excellent anatomic detail and tissue characterization with accurate evaluation of cardiac function and assessment of the haemodynamic consequences of pericardial constraint on cardiac filling. This review focuses on the current state of knowledge how CMR can be used to study the most common pericardial diseases.

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Metadata

Authors
Bogaert, J., & Francone, M.
Venue
Journal of Cardiovascular Magnetic Resonance
Publisher
Elsevier BV
Published
2009-01
Volume
11
Issue
1
Pages
14
ISSN
1097-6647 (ISSN-L)
OpenAlex
W2168659064
Cited by
242
References
0
FWCI
7.51
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Cardiovascular magnetic resonance in pericardial diseases. https://app.cochat.ai/papers/10.1186/1532-429x-11-14
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Bogaert, J., & Francone, M. (2009). Cardiovascular magnetic resonance in pericardial diseases. Journal of Cardiovascular Magnetic Resonance. https://doi.org/10.1186/1532-429x-11-14

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.