PMID- 28890987
OWN - NLM
STAT- MEDLINE
DCOM- 20180604
LR  - 20220408
IS  - 1528-8951 (Electronic)
IS  - 0148-0731 (Linking)
VI  - 140
IP  - 1
DP  - 2018 Jan 1
TI  - Impact of Patient-Specific Inflow Velocity Profile on Hemodynamics of the 
      Thoracic Aorta.
LID - 10.1115/1.4037857 [doi]
AB  - Computational fluid dynamics (CFD) provides a noninvasive method to functionally 
      assess aortic hemodynamics. The thoracic aorta has an anatomically complex inlet 
      comprising of the aortic valve and root, which is highly prone to different 
      morphologies and pathologies. We investigated the effect of using 
      patient-specific (PS) inflow velocity profiles compared to idealized profiles 
      based on the patient's flow waveform. A healthy 31 yo with a normally functioning 
      tricuspid aortic valve (subject A), and a 52 yo with a bicuspid aortic valve 
      (BAV), aortic valvular stenosis, and dilated ascending aorta (subject B) were 
      studied. Subjects underwent MR angiography to image and reconstruct 
      three-dimensional (3D) geometric models of the thoracic aorta. Flow-magnetic 
      resonance imaging (MRI) was acquired above the aortic valve and used to extract 
      the patient-specific velocity profiles. Subject B's eccentric asymmetrical inflow 
      profile led to highly complex velocity patterns, which were not replicated by the 
      idealized velocity profiles. Despite having identical flow rates, the idealized 
      inflow profiles displayed significantly different peak and radial velocities. 
      Subject A's results showed some similarity between PS and parabolic inflow 
      profiles; however, other parameters such as Flowasymmetry were significantly 
      different. Idealized inflow velocity profiles significantly alter velocity 
      patterns and produce inaccurate hemodynamic assessments in the thoracic aorta. 
      The complex structure of the aortic valve and its predisposition to pathological 
      change means the inflow into the thoracic aorta can be highly variable. CFD 
      analysis of the thoracic aorta needs to utilize fully PS inflow boundary 
      conditions in order to produce truly meaningful results.
FAU - Youssefi, Pouya
AU  - Youssefi P
AD  - Department of Cardiothoracic Surgery, St. George's Hospital, London SW17 0QT, UK.
AD  - Department of Biomedical Engineering, King's College London, London SE1 7EH, UK 
      e-mail: .
FAU - Gomez, Alberto
AU  - Gomez A
AD  - Department of Biomedical Engineering, King's College London, London SE1 7EH, UK 
      e-mail: .
FAU - Arthurs, Christopher
AU  - Arthurs C
AD  - Department of Biomedical Engineering, King's College London, London SE1 7EH, UK 
      e-mail: .
FAU - Sharma, Rajan
AU  - Sharma R
AD  - Department of Cardiology, St. George's Hospital, London SW17 0QT, UK e-mail: .
FAU - Jahangiri, Marjan
AU  - Jahangiri M
AD  - Department of Cardiothoracic Surgery, St. George's Hospital, London SW17 0QT, UK 
      e-mail: .
FAU - Alberto Figueroa, C
AU  - Alberto Figueroa C
AD  - Department of Biomedical Engineering, King's College London, London SE1 7EH, UK.
AD  - Departments of Surgery and Biomedical Engineering, University of Michigan, Ann 
      Arbor, MI 48109 e-mail: .
LA  - eng
GR  - NH/11/5/29058/BHF_/British Heart Foundation/United Kingdom
PT  - Journal Article
PL  - United States
TA  - J Biomech Eng
JT  - Journal of biomechanical engineering
JID - 7909584
SB  - IM
MH  - Aorta, Thoracic/diagnostic imaging/*physiology
MH  - *Hemodynamics
MH  - Humans
MH  - Imaging, Three-Dimensional
MH  - Magnetic Resonance Imaging
MH  - *Patient-Specific Modeling
EDAT- 2017/09/12 06:00
MHDA- 2018/06/05 06:00
CRDT- 2017/09/12 06:00
PHST- 2016/07/28 00:00 [received]
PHST- 2017/09/12 06:00 [pubmed]
PHST- 2018/06/05 06:00 [medline]
PHST- 2017/09/12 06:00 [entrez]
AID - 2654063 [pii]
AID - 10.1115/1.4037857 [doi]
PST - ppublish
SO  - J Biomech Eng. 2018 Jan 1;140(1). doi: 10.1115/1.4037857.