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Intra-operative Vector Flow Imaging Using Ultrasound of the Ascending Aorta among 40 Patients with Normal, Stenotic and Replaced Aortic Valves

  • Kristoffer Lindskov Hansen
  • , Hasse Møller-Sørensen
  • , Jesper Kjaergaard
  • , Maiken Brit Jensen
  • , Jens Teglgaard Lund
  • , Mads Møller Pedersen
  • , Theis Lange
  • , Jørgen Arendt Jensen
  • , Michael Bachmann Nielsen
    • University of Copenhagen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Stenosis of the aortic valve gives rise to more complex blood flows with increased velocities. The angleindependent vector flow ultrasound technique transverse oscillation was employed intra-operatively on the ascending aorta of (I) 20 patients with a healthy aortic valve and 20 patients with aortic stenosis before (IIa) and after (IIb) valve replacement. The results indicate that aortic stenosis increased flow complexity (p , 0.0001), induced systolic backflow (p , 0.003) and reduced systolic jet width (p , 0.0001). After valve replacement, the systolic backflow and jet width were normalized (p , 0.52 and p , 0.22), but flow complexity was not (p , 0.0001). Flow complexity (p , 0.0001), systolic jet width (p , 0.0001) and systolic backflow (p , 0.001) were associated with peak systolic velocity. The study found that aortic stenosis changes blood flow in the ascending aorta and valve replacement corrects some of these changes. Transverse oscillation may be useful for assessment of aortic stenosis and optimization of valve surgery. (E-mail: [email protected]) 2016 World Federation for Ultrasound in Medicine & Biology
    Original languageEnglish
    JournalUltrasound in Medicine & Biology
    Volume42
    Issue number10
    Pages (from-to)2414–2422
    Number of pages9
    ISSN0301-5629
    DOIs
    Publication statusPublished - 2016

    Keywords

    • Intraoperative ultrasound
    • Transverse oscillation
    • Vector flow imaging
    • Aortic valve stenosis
    • Systolic backflow
    • Secondary flow
    • Flow complexity

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