The DOI matches its Crossref record.
Cardiovascular magnetic resonance in pericardial diseases
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
2015 ESC Guidelines for the diagnosis and management of pericardial diseases
Adler, Y., Charron, P., Imazio, M., Badano, L., Barón-Esquivias, G., Bogaert, J., Brucato, A., Gueret, P., Klingel, K., Lionis, C., et al. (2015) · European Heart Journal · doi:10.1093/eurheartj/ehv318 · Cited by 2,634
Self-citationCardiovascular Magnetic Resonance in Nonischemic Myocardial Inflammation
Ferreira, V. M., Schulz-Menger, J., Holmvang, G., Kramer, C. M., Carbone, I., Sechtem, U., Kindermann, I., Gutberlet, M., Cooper, L. T., Liu, P., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.09.072 · Cited by 2,059
Klein, A. L., Abbara, S., Agler, D. A., Appleton, C. P., Asher, C. R., Hoit, B., Hung, J., Garcia, M. J., Kronzon, I., Oh, J. K., et al. (2013) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2013.06.023 · Cited by 773
Cardiovascular Magnetic Resonance
Pennell, D. J. (2010) · Circulation · doi:10.1161/circulationaha.108.811547 · Cited by 338
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cardiovascular magnetic resonance in pericardial diseases. https://app.cochat.ai/papers/10.1186/1532-429x-11-14
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.