Imaging of Cardiopulmonary Involvement in Systemic Immune-mediated Diseases
| Autor: | Francesca Giubbolini, Anna Rita Larici, Agostino Meduri, Riccardo Marano, Fabiano Paciolla, Luigi Natale, Riccardo Manfredi, Paola Franchi, Veronica Bordonaro |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Pulmonary and Respiratory Medicine
medicine.medical_specialty High-resolution computed tomography Myocarditis Disease 030204 cardiovascular system & hematology 030218 nuclear medicine & medical imaging Coronary artery disease 03 medical and health sciences Pericarditis 0302 clinical medicine Immune system Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Lung Settore MED/36 - DIAGNOSTICA PER IMMAGINI E RADIOTERAPIA medicine.diagnostic_test business.industry Interstitial lung disease Heart medicine.disease Pathophysiology Cardiology Lung Diseases Interstitial Tomography X-Ray Computed business Imaging of Cardiopulmonary Involvement in Systemic Immune-mediated Diseases |
| Zdroj: | Journal of Thoracic Imaging. 36:W35-W51 |
| ISSN: | 0883-5993 |
| DOI: | 10.1097/rti.0000000000000496 |
| Popis: | Systemic immune-mediated diseases (SID) are a large group of disorders characterized by complex inflammatory and autoimmune damage to various organs and tissues. Among the possible manifestations, SIDs may potentially involve each structure of the cardiopulmonary system. Each disease is characterized by a specific clinical presentation. Coronary artery disease, myocarditis, pericarditis, valvular disease, pulmonary arterial hypertension, and interstitial lung disease represent characteristic findings of cardiopulmonary involvement in these disorders and their prompt recognition is crucial for the diagnosis of SIDs and the patient's prognosis. In this setting, chest high-resolution computed tomography and cardiac magnetic resonance are the most important noninvasive techniques for the assessment of these diseases and their complications. The knowledge of various cardiac and pulmonary radiologic patterns increases the likelihood of diagnosing these disorders and can lead to improved understanding of the underlying pathophysiology to personalize the treatment for each patient. |
| Databáze: | OpenAIRE |
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