1. Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
- Author
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Alessandro Galluzzo, Francesca Fiorelli, Valentina A. Rossi, Luca Monzo, Giulia Montrasio, Massimiliano Camilli, Geza Halasz, Giuseppe Uccello, Rocco Mollace, Matteo Beltrami, University of Zurich, and Beltrami, Matteo
- Subjects
left ventricular diastolic dysfunction ,imaging ,Paleontology ,610 Medicine & health ,hypertrophic cardiomyopathy ,General Biochemistry, Genetics and Molecular Biology ,1911 Paleontology ,1105 Ecology, Evolution, Behavior and Systematics ,1912 Space and Planetary Science ,Space and Planetary Science ,1300 General Biochemistry, Genetics and Molecular Biology ,outcome ,phenocopies ,10209 Clinic for Cardiology ,left ventricular systolic dysfunction ,Ecology, Evolution, Behavior and Systematics - 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.
- Published
- 2023
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