Non-invasive imaging as the cornerstone of cardiovascular precision medicine

Author:

Achenbach Stephan1ORCID,Fuchs Friedrich2,Goncalves Alexandra34,Kaiser-Albers Claudia5,Ali Ziad A6,Bengel Frank M7,Dimmeler Stefanie8ORCID,Fayad Zahi A9ORCID,Mebazaa Alexandre10,Meder Benjamin11,Narula Jagat12,Shah Amil13,Sharma Sanjay14ORCID,Voigt Jens-Uwe15,Plein Sven16ORCID

Affiliation:

1. Department of Cardiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen Medizinische Klinik 2—Kardiologie und Angiologie, Ulmenweg 18, 91054 Erlangen, Germany

2. Siemens Healthineers AG, Advanced Therapies, Siemensstraße 1, 91301 Fochheim, Germany

3. Philips222 Jacobs Street (5th Floor)Cambridge, MA, 02141, USA

4. University of Porto Medical School, Porto, Portugal

5. Global Clinical Development EMEA, General Medicine, MSD Sharp & Dohme GmbH, Lindenplatz 1, 85540 Haar, HR München B 6194, Germany

6. DeMatteis Cardiovascular Institute, St. Francis Hospital and Heart Center, Cardiovascular Research Foundation, 100 Port Washington Blvd, Roslyn, NY, 11576, USA

7. Department of Nuclear Medicine, Hannover Medical School (MHH)Carl-Neuberg-Str. 1,30625 Hannover, Germany

8. Institute of Cardiovascular Regeneration, Goethe-Universität Frankfurt, Institut für Kardiovaskuläre Regeneration, Zentrum für Molekulare Medizin, Haus 25B, Raum 450, Theodor-Stern-Kai 7, D-60590 Frankfurt, Germany

9. The BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, BioMedical Engineering and Imaging Institute, One Gustave L. Levy Place, Box 1234, New York, NY 10029-6574, USA

10. Université de Paris, Inserm 942 Mascot, APHP, Hôpital Lariboisière, 2 rue Ambroise Paré, 75475 Paris Cedex 10, France

11. Institute for Cardiomyopathies Heidelberg, Department of Cardiology, Angiology and Pulmology, University Hospital Heidelberg Im Neuenheimer Feld 410, 69120 Heidelberg, Germany

12. Division of Cardiology, Mount Sinai Hospital, Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, 421 W. 113th Street, New York, NY, 10021, USA

13. Division of Cardiovascular Medicine, Brigham and Women’s Hospital, PBB-116, 75 Francis Street, Boston, MA, 02115, USA

14. Cardiology clinical and academic group, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK

15. Department of Cardiovascular Diseases, University Hospital Leuven, Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3060 Leuven, Belgium

16. Multidisciplinary Cardiovascular Research Centre (MCRC) and Leeds Institute of Cardiovascular and Metabolic Medicine, Biomedical Imaging Science Department, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK

Abstract

Abstract Aims To provide an overview of the role of cardiovascular (CV) imaging in facilitating and advancing the field of precision medicine in CV disease. Methods and results Non-invasive CV imaging is essential to accurately and efficiently phenotype patients with heart disease, including coronary artery disease (CAD) and heart failure (HF). Various modalities, such as echocardiography, nuclear cardiology, cardiac computed tomography (CT), cardiovascular magnetic resonance (CMR), and invasive coronary angiography, and in some cases a combination, can be required to provide sufficient information for diagnosis and management. Taking CAD as an example, imaging is essential for the detection and functional assessment of coronary stenoses, as well as for the quantification of cardiac function and ischaemic myocardial damage. Furthermore, imaging may detect and quantify coronary atherosclerosis, potentially identify plaques at increased risk of rupture, and guide coronary interventions. In patients with HF, imaging helps identify specific aetiologies, quantify damage, and assess its impact on cardiac function. Imaging plays a central role in individualizing diagnosis and management and to determine the optimal treatment for each patient to increase the likelihood of response and improve patient outcomes. Conclusions Advances in all imaging techniques continue to improve accuracy, sensitivity, and standardization of functional and prognostic assessments, and identify established and novel therapeutic targets. Combining imaging with artificial intelligence, machine learning and computer algorithms, as well as with genomic, transcriptomic, proteomic, and metabolomic approaches, will become state of the art in the future to understand pathologies of CAD and HF, and in the development of new, targeted therapies.

Funder

European Society of Cardiology

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging,General Medicine

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