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

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 multimoda...

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Autores principales: Galluzzo, Alessandro, Fiorelli, Francesca, Rossi, Valentina A., Monzo, Luca, Montrasio, Giulia, Camilli, Massimiliano, Halasz, Geza, Uccello, Giuseppe, Mollace, Rocco, Beltrami, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863627/
https://www.ncbi.nlm.nih.gov/pubmed/36676118
http://dx.doi.org/10.3390/life13010171
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author Galluzzo, Alessandro
Fiorelli, Francesca
Rossi, Valentina A.
Monzo, Luca
Montrasio, Giulia
Camilli, Massimiliano
Halasz, Geza
Uccello, Giuseppe
Mollace, Rocco
Beltrami, Matteo
author_facet Galluzzo, Alessandro
Fiorelli, Francesca
Rossi, Valentina A.
Monzo, Luca
Montrasio, Giulia
Camilli, Massimiliano
Halasz, Geza
Uccello, Giuseppe
Mollace, Rocco
Beltrami, Matteo
author_sort Galluzzo, Alessandro
collection PubMed
description 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.
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spelling pubmed-98636272023-01-22 Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time Galluzzo, Alessandro Fiorelli, Francesca Rossi, Valentina A. Monzo, Luca Montrasio, Giulia Camilli, Massimiliano Halasz, Geza Uccello, Giuseppe Mollace, Rocco Beltrami, Matteo Life (Basel) Review 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. MDPI 2023-01-06 /pmc/articles/PMC9863627/ /pubmed/36676118 http://dx.doi.org/10.3390/life13010171 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Galluzzo, Alessandro
Fiorelli, Francesca
Rossi, Valentina A.
Monzo, Luca
Montrasio, Giulia
Camilli, Massimiliano
Halasz, Geza
Uccello, Giuseppe
Mollace, Rocco
Beltrami, Matteo
Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
title Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
title_full Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
title_fullStr Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
title_full_unstemmed Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
title_short Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
title_sort multimodality imaging in sarcomeric hypertrophic cardiomyopathy: get it right…on time
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863627/
https://www.ncbi.nlm.nih.gov/pubmed/36676118
http://dx.doi.org/10.3390/life13010171
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