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Role of multimodality imaging in the diagnosis and management of cardiomyopathies
- 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.
- Subjects :
- medicine.medical_specialty
Cardiomyopathy
Transthoracic echocardiography
[SDV]Life Sciences [q-bio]
030204 cardiovascular system & hematology
Computed tomography scan
Imaging data
Multimodal Imaging
Multimodality imaging
Multimodality
03 medical and health sciences
0302 clinical medicine
Cardiac magnetic resonance imaging
Predictive Value of Tests
Risk Factors
medicine
Humans
030212 general & internal medicine
Intensive care medicine
Cardiac imaging
Modalities
medicine.diagnostic_test
Myocardial tissue
business.industry
Reproducibility of Results
General Medicine
Cardiac nuclear imaging
medicine.disease
Prognosis
3. Good health
[SDV] Life Sciences [q-bio]
Positron emission tomography
Cardiology and Cardiovascular Medicine
business
Cardiomyopathies
Subjects
Details
- ISSN :
- 18752128 and 18752136
- Volume :
- 112
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Archives of cardiovascular diseases
- Accession number :
- edsair.doi.dedup.....762a9e61bec57f517f2d6e725d429951