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Exploring the Thoracic Aorta with Advanced Magnetic Resonance Imaging Beyond Routine Diameter Measurements

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Surgical Management of Aortic Pathology

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Abstract

Magnetic resonance imaging has emerged as a noninvasive modality for multiparametric assessment of aortic anatomy, dynamics, and flow. Preventive aortic surgery remains based on maximal aortic diameters, but this strategy has shown its limits to accurately predict acute aortic events. Novel imaging biomarkers such as aortic volumetry, aortic stiffness (distensibility and pulse wave velocity), and flow with new 4D techniques providing wall shear stress or relative pressure maps are promising to enhance our understanding of aortic pathophysiology in vivo and ability to predict adverse aortic outcome.

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Acknowledgments

We wish to thank Thomas Dietenbeck and Benjamin Dubourg, MD, for their kind help in generating volumetric and 4D flow images to illustrate this chapter. We wish to thank Nadjia Kachenoura, PhD, and Philippe Cluzel, MD, PhD, for their constant support.

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Authors and Affiliations

  1. Department of Cardiovascular Imaging DICVRIT, Institute of Cardiology, Pitié-Salpêtrière Hospital, Paris, France

    Alban Redheuil

  2. Sorbonne Université, Pierre et Marie Curie School of Medicine, UPMC, Paris, France

    Alban Redheuil

  3. LIB Biomedical Imaging Laboratory, INSERM/CNRS/UPMC, Paris, France

    Alban Redheuil

  4. ICAN Institute of Cardiometabolism and Nutrition, Imaging Core Lab, Paris, France

    Alban Redheuil

Authors
  1. Alban Redheuil
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Correspondence to Alban Redheuil .

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Editors and Affiliations

  1. Fmr Royal Brompton Hospital, London, UK

    Olaf H. Stanger

  2. Royal Brompton Hospital, London, UK

    John R. Pepper

  3. Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA

    Lars G. Svensson

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Redheuil, A. (2019). Exploring the Thoracic Aorta with Advanced Magnetic Resonance Imaging Beyond Routine Diameter Measurements. In: Stanger, O., Pepper, J., Svensson, L. (eds) Surgical Management of Aortic Pathology. Springer, Vienna. https://doi.org/10.1007/978-3-7091-4874-7_31

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  • DOI: https://doi.org/10.1007/978-3-7091-4874-7_31

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-4872-3

  • Online ISBN: 978-3-7091-4874-7

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