{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T18:10:16Z","timestamp":1772475016471,"version":"3.50.1"},"reference-count":124,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Life"],"abstract":"<jats:p>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 \u201cred alerts\u201d to understand the phenotype\u2013genotype linkage.<\/jats:p>","DOI":"10.3390\/life13010171","type":"journal-article","created":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T03:31:28Z","timestamp":1672975888000},"page":"171","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right\u2026on Time"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2803-6761","authenticated-orcid":false,"given":"Alessandro","family":"Galluzzo","sequence":"first","affiliation":[{"name":"Cardiology Unit, Santa Croce Hospital, 10024 Moncalieri, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesca","family":"Fiorelli","sequence":"additional","affiliation":[{"name":"Royal Brompton and Harefield Hospitals, Part of Guy\u2019s and St. Thomas\u2019 NHS Foundation Trust, London SW3 6NP, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9235-6597","authenticated-orcid":false,"given":"Valentina A.","family":"Rossi","sequence":"additional","affiliation":[{"name":"Department of Cardiology, University Hospital of Zurich, 8091 Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2958-943X","authenticated-orcid":false,"given":"Luca","family":"Monzo","sequence":"additional","affiliation":[{"name":"Centre d\u2019Investigations Cliniques Plurith\u00e9matique, Universit\u00e9 de Lorraine INSERM, 54035 Nancy, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giulia","family":"Montrasio","sequence":"additional","affiliation":[{"name":"Inherited Cardiovascular Diseases Unit, Barts Heart Centre, St. Bartholomew\u2019s Hospital, London EC1A 7BE, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimiliano","family":"Camilli","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart, 00168 Rome, Italy"},{"name":"Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geza","family":"Halasz","sequence":"additional","affiliation":[{"name":"Department of Cardiosciences, A.O. San Camillo-Forlanini, 00152 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6163-8468","authenticated-orcid":false,"given":"Giuseppe","family":"Uccello","sequence":"additional","affiliation":[{"name":"Cardiology Unit, Medical Department, \u201cGaleazzi\u2014Sant\u2019Ambrogio\u201d Hospital, 20157 Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7106-5595","authenticated-orcid":false,"given":"Rocco","family":"Mollace","sequence":"additional","affiliation":[{"name":"Cardiovascular Department, Humanitas Gavazzeni, 24125 Bergamo, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7161-3224","authenticated-orcid":false,"given":"Matteo","family":"Beltrami","sequence":"additional","affiliation":[{"name":"Cardiology Unit, San Giovanni di Dio Hospital, 50143 Florence, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.ijcard.2020.07.036","article-title":"Prevalence, causes and predictors of cardiovascular hospitalization in patients with hypertrophic cardiomyopathy","volume":"318","author":"Ciabatti","year":"2020","journal-title":"Int. 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