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

Author:

Galluzzo AlessandroORCID,Fiorelli Francesca,Rossi Valentina A.ORCID,Monzo LucaORCID,Montrasio Giulia,Camilli Massimiliano,Halasz Geza,Uccello GiuseppeORCID,Mollace RoccoORCID,Beltrami MatteoORCID

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.

Publisher

MDPI AG

Subject

Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advances in Multi-Modality Imaging in Hypertrophic Cardiomyopathy;Journal of Clinical Medicine;2024-02-01

2. Segmentation of heart wall muscles and detection of hypertrophic cardiomyopathy from 2D echo images using U- Nets;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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