Cardiac Magnetic Resonance and amyloidosis: Review
Autor: | Daniel Gama das Neves, Diogo Costa Leandro de Oliveira, Nágela Simão Vinhosa Nunes, Humberto Villacorta Junior, Vaneza Ferreira Ribeiro, Marcelo Souto Nacif |
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Rok vydání: | 2019 |
Předmět: |
Pathology
medicine.medical_specialty Plaque Amyloid/diagnostic imaging biology medicine.diagnostic_test Amyloid business.industry Amyloidosis Early detection 020206 networking & telecommunications Magnetic resonance imaging 02 engineering and technology Immunoglobulin light chain medicine.disease Magnetic Resonance Imaging Myocarditis/pathology Transthyretin Cardiac amyloidosis 0202 electrical engineering electronic engineering information engineering biology.protein medicine 020201 artificial intelligence & image processing business Cardiac magnetic resonance |
Zdroj: | International Journal of Cardiovascular Sciences, Volume: 32, Issue: 2, Pages: 177-189, Published: APR 2019 International Journal of Cardiovascular Sciences v.32 n.2 2019 International Journal of Cardiovascular Sciences Sociedade Brasileira de Cardiologia (SBC) instacron:SBC |
ISSN: | 2359-4802 |
Popis: | Amyloidosis is a disease caused by extracellular deposition of insoluble protein fibrils, that results in changes in tissue architecture and consequently modification of the organ structure. Cardiac involvement is common in amyloidosis. Two major types of systemic amyloidosis affect the myocardium - immunoglobulin light chain and transthyretin amyloidosis - each leading to different prognosis. Early detection and diagnosis of cardiac amyloidosis are the main objectives in the assessment of the disease. New techniques of magnetic resonance imaging have minimized the need for biopsies for the diagnosis. Late gadolinium enhancement technique, and more recently T1 mapping, have allowed a simplified evaluation of amyloid deposits and extracellular volume. The aim of this review was to describe basic concepts and updates of the use of magnetic resonance imaging for the diagnosis amyloidosis and evaluation of its severity. |
Databáze: | OpenAIRE |
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