Non-invasive imaging as the cornerstone of cardiovascular precision medicine

Achenbach S, Fuchs F, Goncalves A, Kaiser-Albers C, Ali ZA, Bengel FM, Dimmeler S, Fayad ZA, Mebazaa A, Meder B, Narula J, Shah A, Sharma S, Voigt JU, Plein S (2022)

Publication Type: Journal article

Publication year: 2022

Journal

European Heart Journal - Cardiovascular Imaging Oxford University Press

Book Volume: 23

Pages Range: 465-475

Journal Issue: 4

DOI: 10.1093/ehjci/jeab287

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.

Authors with CRIS profile

Stephan Achenbach Lehrstuhl für Innere Medizin II

Involved external institutions

Siemens Healthineers DE Germany (DE) Philips Innovation Hub US United States (USA) (US) Cardiovascular Research Foundation US United States (USA) (US) Medizinische Hochschule Hannover (MHH) / Hannover Medical School DE Germany (DE) Goethe-Universität Frankfurt am Main DE Germany (DE) Icahn School of Medicine at Mount Sinai US United States (USA) (US) University of Paris 4 - Paris-Sorbonne / Université paris IV Paris-Sorbonne FR France (FR) Universitätsklinikum Heidelberg DE Germany (DE) Brigham and Women's Hospital (BWH) US United States (USA) (US) St George's, University of London (SGUL) / St George's Hospital Medical School GB United Kingdom (GB) Katholieke Universiteit Leuven (KUL) / Catholic University of Leuven BE Belgium (BE) University of Leeds GB United Kingdom (GB) Merck & Co., Inc. / Merck Sharp & Dohme Corp (MSD) US United States (USA) (US)

How to cite

APA:

Achenbach, S., Fuchs, F., Goncalves, A., Kaiser-Albers, C., Ali, Z.A., Bengel, F.M.,... Plein, S. (2022). Non-invasive imaging as the cornerstone of cardiovascular precision medicine. European Heart Journal - Cardiovascular Imaging, 23(4), 465-475. https://dx.doi.org/10.1093/ehjci/jeab287

MLA:

Achenbach, Stephan, et al. "Non-invasive imaging as the cornerstone of cardiovascular precision medicine." European Heart Journal - Cardiovascular Imaging 23.4 (2022): 465-475.

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