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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Main Authors: Alessandro Galluzzo, Francesca Fiorelli, Valentina A. Rossi, Luca Monzo, Giulia Montrasio, Massimiliano Camilli, Geza Halasz, Giuseppe Uccello, Rocco Mollace, Matteo Beltrami
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Life
Subjects:
Online Access:https://www.mdpi.com/2075-1729/13/1/171
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author Alessandro Galluzzo
Francesca Fiorelli
Valentina A. Rossi
Luca Monzo
Giulia Montrasio
Massimiliano Camilli
Geza Halasz
Giuseppe Uccello
Rocco Mollace
Matteo Beltrami
author_facet Alessandro Galluzzo
Francesca Fiorelli
Valentina A. Rossi
Luca Monzo
Giulia Montrasio
Massimiliano Camilli
Geza Halasz
Giuseppe Uccello
Rocco Mollace
Matteo Beltrami
author_sort Alessandro Galluzzo
collection DOAJ
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 doaj.art-4b2b31cfa23f4661bf1524dc350b31532023-11-30T23:09:00ZengMDPI AGLife2075-17292023-01-0113117110.3390/life13010171Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on TimeAlessandro Galluzzo0Francesca Fiorelli1Valentina A. Rossi2Luca Monzo3Giulia Montrasio4Massimiliano Camilli5Geza Halasz6Giuseppe Uccello7Rocco Mollace8Matteo Beltrami9Cardiology Unit, Santa Croce Hospital, 10024 Moncalieri, ItalyRoyal Brompton and Harefield Hospitals, Part of Guy’s and St. Thomas’ NHS Foundation Trust, London SW3 6NP, UKDepartment of Cardiology, University Hospital of Zurich, 8091 Zurich, SwitzerlandCentre d’Investigations Cliniques Plurithématique, Université de Lorraine INSERM, 54035 Nancy, FranceInherited Cardiovascular Diseases Unit, Barts Heart Centre, St. Bartholomew’s Hospital, London EC1A 7BE, UKDepartment of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart, 00168 Rome, ItalyDepartment of Cardiosciences, A.O. San Camillo-Forlanini, 00152 Rome, ItalyCardiology Unit, Medical Department, “Galeazzi—Sant’Ambrogio” Hospital, 20157 Milan, ItalyCardiovascular Department, Humanitas Gavazzeni, 24125 Bergamo, ItalyCardiology Unit, San Giovanni di Dio Hospital, 50143 Florence, ItalyHypertrophic 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.https://www.mdpi.com/2075-1729/13/1/171hypertrophic cardiomyopathyphenocopiesleft ventricular systolic dysfunctionleft ventricular diastolic dysfunctionoutcomeimaging
spellingShingle Alessandro Galluzzo
Francesca Fiorelli
Valentina A. Rossi
Luca Monzo
Giulia Montrasio
Massimiliano Camilli
Geza Halasz
Giuseppe Uccello
Rocco Mollace
Matteo Beltrami
Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time
Life
hypertrophic cardiomyopathy
phenocopies
left ventricular systolic dysfunction
left ventricular diastolic dysfunction
outcome
imaging
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 hypertrophic cardiomyopathy
phenocopies
left ventricular systolic dysfunction
left ventricular diastolic dysfunction
outcome
imaging
url https://www.mdpi.com/2075-1729/13/1/171
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