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Multimodality Imaging in Cardiomyopathies with Hypertrophic Phenotypes

Authors :
Emanuele Monda
Giuseppe Palmiero
Michele Lioncino
Marta Rubino
Annapaola Cirillo
Adelaide Fusco
Martina Caiazza
Federica Verrillo
Gaetano Diana
Alfredo Mauriello
Michele Iavarone
Maria Angela Losi
Maria Luisa De Rimini
Santo Dellegrottaglie
Antonello D’Andrea
Eduardo Bossone
Giuseppe Pacileo
Giuseppe Limongelli
Monda, E.
Palmiero, G.
Lioncino, M.
Rubino, M.
Cirillo, A.
Fusco, A.
Caiazza, M.
Verrillo, F.
Diana, G.
Mauriello, A.
Iavarone, M.
Losi, M. A.
De Rimini, M. L.
Dellegrottaglie, S.
D'Andrea, A.
Bossone, E.
Pacileo, G.
Limongelli, G.
Monda, Emanuele
Palmiero, Giuseppe
Lioncino, Michele
Rubino, Marta
Cirillo, Annapaola
Fusco, Adelaide
Caiazza, Martina
Verrillo, Federica
Diana, Gaetano
Mauriello, Alfredo
Iavarone, Michele
Losi, Maria Angela
De Rimini, Maria Luisa
Dellegrottaglie, Santo
D'Andrea, Antonello
Bossone, Eduardo
Pacileo, Giuseppe
Limongelli, Giuseppe
Source :
Journal of Clinical Medicine, Vol 11, Iss 868, p 868 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Multimodality imaging is a comprehensive strategy to investigate left ventricular hypertrophy (LVH), providing morphologic, functional, and often clinical information to clinicians. Hypertrophic cardiomyopathy (HCM) is defined by an increased LV wall thickness not only explainable by abnormal loading conditions. In the context of HCM, multimodality imaging, by different imaging techniques, such as echocardiography, cardiac magnetic resonance, cardiac computer tomography, and cardiac nuclear imaging, provides essential information for diagnosis, sudden cardiac death stratification, and management. Furthermore, it is essential to uncover the specific cause of HCM, such as Fabry disease and cardiac amyloidosis, which can benefit of specific treatments. This review aims to elucidate the current role of multimodality imaging in adult patients with HCM.

Details

ISSN :
20770383
Volume :
11
Database :
OpenAIRE
Journal :
Journal of Clinical Medicine
Accession number :
edsair.doi.dedup.....60ea00afbb18170adfd6f46875e0037f