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      Commentary: Magnetic resonance imaging for diagnosing vascular pathology

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      , MD a , b , , MD a , , MD a , b ,
      JTCVS Techniques
      Elsevier

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          Vascular CT and MRI: a practical guide to imaging protocols

          Non-invasive cross-sectional imaging techniques play a crucial role in the assessment of the varied manifestations of vascular disease. Vascular imaging encompasses a wide variety of pathology. Designing vascular imaging protocols can be challenging owing to the non-uniform velocity of blood in the aorta, differences in cardiac output between patients, and the effect of different disease states on blood flow. In this review, we provide the rationale behind—and a practical guide to—designing and implementing straightforward vascular computed tomography (CT) and magnetic resonance imaging (MRI) protocols. Teaching Points • There is a wide range of vascular pathologies requiring bespoke imaging protocols. • Variations in cardiac output and non-uniform blood velocity complicate vascular imaging. • Contrast media dose, injection rate and duration affect arterial enhancement in CTA. • Iterative CT reconstruction can improve image quality and reduce radiation dose. • MRA is of particular value when imaging small arteries and venous studies. Electronic supplementary material The online version of this article (10.1007/s13244-018-0597-2) contains supplementary material, which is available to authorised users.
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            Ruptured mediastinal bronchial artery aneurysm: a dilemma of diagnosis and therapeutic approach.

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              Predictive imaging for thoracic aortic dissection and rupture: moving beyond diameters

              Abstract Acute aortic syndromes comprise a group of potentially fatal conditions that result from weakening of the aortic vessel wall. Pre-emptive surgical intervention is currently reserved for patients with severe aortic dilatation, although abundant evidence describes the occurrence of dissection and rupture in aortas with diameters below surgical thresholds. Modern imaging techniques (such as hybrid PET-CT and 4D flow MRI) afford the non-invasive assessment of anatomic, hemodynamic, and molecular features of the aorta, and may provide for a more accurate selection of patients who will benefit from preventative surgical intervention. In the current review, we summarize evidence and considerations regarding predictive aortic imaging and highlight evolving imaging modalities that have shown promise to improve risk assessment for the occurrence of dissection and rupture. Key Points • Guidelines for the preventative management of aortic disease depend on maximal vessel diameters, while these have shown to be poor predictors for the occurrence of catastrophic acute aortic events. • Evolving imaging modalities (such as 4D flow MRI and hybrid PET-CT) afford a more comprehensive insight into anatomic, hemodynamic, and molecular features of the aorta and have shown promise to detect vessel wall instability at an early stage.
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                Author and article information

                Contributors
                Journal
                JTCVS Tech
                JTCVS Tech
                JTCVS Techniques
                Elsevier
                2666-2507
                20 June 2020
                September 2020
                20 June 2020
                : 3
                : 59-60
                Affiliations
                [a ]Division of Cardiac Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Mass
                [b ]Division of Thoracic Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Mass
                Author notes
                []Address for reprints: Hari R. Mallidi, MD, Carl J. and Ruth Shapiro Cardiovascular Center, 70 Francis St, Boston, MA 02115. hmallidi@ 123456bwh.harvard.edu
                Article
                S2666-2507(20)30295-9
                10.1016/j.xjtc.2020.06.017
                8302987
                34317813
                dad2d645-7803-4bec-b1b8-76d7678cca61
                © 2020 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 10 June 2020
                : 10 June 2020
                : 12 June 2020
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