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Role of multimodality imaging in the diagnosis and management of cardiomyopathies

Authors :
Gilles Barone-Rochette
Patricia Reant
Stéphane Ederhy
Nicolas Mansencal
Nicolas Piriou
Thrombose, atherothrombose et pharmacologie appliquée
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Centre de recherche en épidémiologie et santé des populations (CESP)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay
Radiopharmaceutiques biocliniques (LRB)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA)
CCSD, Accord Elsevier
CHU Saint-Antoine [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Hôpital Ambroise Paré [AP-HP]
Épidémiologie et recherches translationnelles sur les maladies rénales et cardiovasculaires (EPREC) (U1018 (Équipe 5))
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay
CHU Bordeaux [Bordeaux]
Université de Bordeaux (UB)
unité de recherche de l'institut du thorax UMR1087 UMR6291 (ITX)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - UFR de Médecine et des Techniques Médicales (Nantes Univ - UFR MEDECINE)
Nantes Université - pôle Santé
Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Santé
Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)
Centre hospitalier universitaire de Nantes (CHU Nantes)
CHU Grenoble
Source :
Archives of cardiovascular diseases, Archives of cardiovascular diseases, Elsevier/French Society of Cardiology, 2019, 112, pp.615-629. ⟨10.1016/j.acvd.2019.07.004⟩, Archives of cardiovascular diseases, 2019, 112, pp.615-629. ⟨10.1016/j.acvd.2019.07.004⟩
Publication Year :
2019

Abstract

International audience; Multimodality imaging plays an important role in the initial evaluation, diagnosis and management of patients suspected of having a cardiomyopathy. Beyond functional and anatomical information, multimodality imaging provides important variables that facilitate risk stratification and prognosis evaluation. Whatever the underlying suspected cardiomyopathy, echocardiography is the most common initial imaging test used to establish the presence of cardiomyopathy, by depicting structural and functional abnormalities. However, echocardiographic findings are non-specific, and therefore have a limited role in identifying the underlying aetiology. Cardiac magnetic resonance imaging allows characterization of myocardial tissue, which can be of great help in identifying the aetiology of the cardiomyopathy. When a specific aetiology is suspected, particularly inflammation, 18F-fluorodeoxyglucose positron emission tomography is recommended. The clinician should be capable of selecting the appropriate imaging techniques for each clinical scenario. Each technique has strengths and weaknesses, which should be known. In order to improve diagnostic performance, and as proposed by the European Association for Cardiovascular Imaging, cardiovascular imaging groups must be composed of experts from all modalities. The future of multimodality imaging in the diagnosis and management of cardiomyopathies will also involve evolution of its use in care, teaching and research. Training goals for future cardiac imaging experts must be defined; academic and industry partnerships should enable the connection to be made between imaging data and clinical data on the one hand and outcomes on the other hand, using big-data analysis and artificial intelligence.

Details

ISSN :
18752128 and 18752136
Volume :
112
Issue :
10
Database :
OpenAIRE
Journal :
Archives of cardiovascular diseases
Accession number :
edsair.doi.dedup.....762a9e61bec57f517f2d6e725d429951