title: The Potential of Computational Fluid Dynamics Simulation on Serial Monitoring of Hemodynamic Change in Type B Aortic Dissection.
abstract: OBJECTIVE
  We aimed to assess the potential of computational fluid dynamics simulation (CFD) in detecting changes in pressure and flow velocity in response to morphological changes in type B aortic dissection.
  
  
  METHODS
  Pressure and velocity in four morphological models of type B aortic dissection before and after closure of the entry tear were calculated with CFD and analyzed for changes among the different scenarios. The control model (Model 1) was patient specific and built from the DICOM data of CTA, which bore one entry tear and three re-entry tears. Models 2-4 were modifications of Model 1, with two re-entry tears less in Model 2, one re-entry tear more in Model 3, and a larger entry tear in Model 4.
  
  
  RESULTS
  The pressure and velocity pertaining to each of the morphological models were unique. Changes in pressure and velocity findings were accountable by the changes in morphological features of the different models. There was no blood flow in the false lumen across the entry tear after its closure, the blood flow direction across the re-entry tears was reversed after closure of the entry tear.
  
  
  CONCLUSIONS
  CFD simulation is probably useful to detect hemodynamic changes in the true and false lumens of type B aortic dissection in response to morphological changes, it may potentially be developed into a non-invasive and patient-specific tool for serial monitoring of hemodynamic changes of type B aortic dissection before and after treatment.
authors.affiliation: Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, c/o Rm 2A061, 2/F, Main Clinical Block and Trauma Centre, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong SAR. simonyu@cuhk.edu.hk.
authors.forename: Simon C H
authors.initials: SC
authors.lastname: Yu
authors.affiliation: Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, c/o Rm 2A061, 2/F, Main Clinical Block and Trauma Centre, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong SAR.
authors.forename: Wen
authors.initials: W
authors.lastname: Liu
authors.affiliation: Division of Cardiothoracic Surgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, c/o Rm 2A061, 2/F, Main Clinical Block and Trauma Centre, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong SAR.
authors.forename: Randolph H L
authors.initials: RH
authors.lastname: Wong
authors.affiliation: Division of Cardiothoracic Surgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, c/o Rm 2A061, 2/F, Main Clinical Block and Trauma Centre, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong SAR.
authors.forename: Malcolm
authors.initials: M
authors.lastname: Underwood
authors.affiliation: Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, c/o Rm 2A061, 2/F, Main Clinical Block and Trauma Centre, 30-32 Ngan Shing Street, Shatin, New Territories, Hong Kong SAR.
authors.forename: Defeng
authors.initials: D
authors.lastname: Wang
mesh_terms: D000784:Aortic Dissection / Q000000981:diagnostic imaging / Q000503:physiopathology* / Q000601:surgery; D017545:Aortic Aneurysm, Thoracic / Q000000981:diagnostic imaging / Q000503:physiopathology* / Q000601:surgery; D006439:Hemodynamics / Q000502:physiology*; D006801:Humans; D057446:Hydrodynamics; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D008991:Monitoring, Physiologic; D061330:Multidetector Computed Tomography
keywords: Artificial intelligence; Great vessel disease; Non-invasive blood pressure assessment