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Blood flow patterns in the thoracic aorta studied with three-directional MR velocity mapping: the effects of age and

H G Bogren1, R H Mohiaddin, P J Kilner

  • 1Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom. hbogren@netrad.ucdmc.ucdavis.edu

Insights

Blood flow patterns in the thoracic aorta, including flow reversal and coronary artery inflow, were analyzed using magnetic resonance imaging. Significant differences were observed between healthy individuals and those with coronary artery disease.

Area of Science:

  • Cardiovascular Science
  • Medical Imaging
  • Hemodynamics

Background:

  • Understanding thoracic aortic blood flow is crucial for diagnosing cardiovascular conditions.
  • Flow patterns influence myocardial perfusion and can indicate disease states.
  • Previous studies have utilized various imaging techniques to assess aortic hemodynamics.

Purpose of the Study:

  • To investigate thoracic aortic blood flow patterns, focusing on flow reversal and coronary artery inflow.
  • To compare flow characteristics in healthy subjects versus patients with coronary artery disease.
  • To identify age-related differences in aortic flow dynamics.

Main Methods:

  • Three-directional magnetic resonance (MR) velocity mapping was employed.
  • Multidirectional flow velocities in the aorta were mapped in 14 healthy subjects and 14 patients.
  • Dynamic flow vector maps and through-plane velocity maps were utilized.

Main Results:

  • Flow reversal was consistently observed in the upper ascending aorta and distal aortic arch.
  • Retrograde flow transitioned to antegrade flow within the ascending aorta and coronary sinuses.
  • Seven investigated flow characteristics collectively showed significant differences (P = .0005) between normal subjects and patients, and between older and younger healthy individuals.

Conclusions:

  • Thoracic aortic blood flow patterns, including reversal and coronary inflow, differ significantly between healthy individuals and those with coronary artery disease.
  • Age influences aortic flow characteristics in healthy individuals.
  • Three-directional MR velocity mapping is effective in characterizing complex aortic hemodynamics.

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