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Published on: February 11, 2022
Multimodality approach to the diagnosis and management of constrictive pericarditis
Kianoush Ansari-Gilani1, Robert C Gilkeson1, Elias G Kikano1
1University Hospital Cleveland Medical Center, Cleveland, Ohio.
Insights
Diagnosing constrictive pericarditis (CP) is difficult. Multimodality imaging is crucial for assessing pericardial disease and guiding treatment in complex cases.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Constrictive pericarditis (CP) diagnosis remains challenging despite advances in cardiovascular imaging.
- A comprehensive assessment of pericardial thickening, calcification, and hemodynamic impact is vital for effective management.
Purpose of the Study:
- To review the role and diagnostic ambiguities of multimodality imaging in constrictive pericarditis.
- To emphasize the importance of a multimodality approach for diagnosis and management.
Main Methods:
- Case-based review of multimodality imaging techniques.
- Analysis of diagnostic challenges and ambiguities in constrictive pericarditis.
Main Results:
- Multimodality imaging is essential for evaluating pericardial extent and hemodynamic consequences.
- Specific imaging modalities offer complementary information in diagnosing CP.
Conclusions:
- A multimodality imaging strategy is indispensable for the accurate diagnosis and optimal management of constrictive pericarditis.
- Addressing diagnostic ambiguities requires a thorough understanding of each imaging modality's strengths and limitations.
Abstract:
Despite advances in cardiovascular imaging, the diagnosis of constrictive pericarditis remains challenging. A multimodality approach to the diagnosis of CP is essential to (a) fully assess the extent of pericardial thickening and calcification, (b) detect the functional and hemodynamic consequences of the constricting pericardium, and (c) implement the optimal management strategy in these often complex cases. This case-based review highlights the role and diagnostic ambiguities of multimodality imaging.
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