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Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time

Authors :
Alessandro Galluzzo
Francesca Fiorelli
Valentina A. Rossi
Luca Monzo
Giulia Montrasio
Massimiliano Camilli
Geza Halasz
Giuseppe Uccello
Rocco Mollace
Matteo Beltrami
Source :
Life, Vol 13, Iss 1, p 171 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Hypertrophic cardiomyopathy (HCM) follows highly variable paradigms and disease-specific patterns of progression towards heart failure, arrhythmias and sudden cardiac death. Therefore, a generalized standard approach, shared with other cardiomyopathies, can be misleading in this setting. A multimodality imaging approach facilitates differential diagnosis of phenocopies and improves clinical and therapeutic management of the disease. However, only a profound knowledge of the progression patterns, including clinical features and imaging data, enables an appropriate use of all these resources in clinical practice. Combinations of various imaging tools and novel techniques of artificial intelligence have a potentially relevant role in diagnosis, clinical management and definition of prognosis. Nonetheless, several barriers persist such as unclear appropriate timing of imaging or universal standardization of measures and normal reference limits. This review provides an overview of the current knowledge on multimodality imaging and potentialities of novel tools, including artificial intelligence, in the management of patients with sarcomeric HCM, highlighting the importance of specific “red alerts” to understand the phenotype–genotype linkage.

Details

Language :
English
ISSN :
20751729
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Life
Publication Type :
Academic Journal
Accession number :
edsdoj.4b2b31cfa23f4661bf1524dc350b3153
Document Type :
article
Full Text :
https://doi.org/10.3390/life13010171