Affiliations 

  • 1 Department of Biomedical Engineering, Faculty of Engineering Building, University of Malaya, 50603 Kuala Lumpur, KL, Malaysia
  • 2 Department of Mechanical Engineering, Faculty of Engineering Building, University of Malaya, 50603 Kuala Lumpur, KL, Malaysia
  • 3 Discipline of Medical Imaging, Department of Imaging and Applied Physics, Curtin University, Perth, WA 6845, Australia
  • 4 Department of Medicine, Faculty of Medicine Building, University of Malaya, 50603 Kuala Lumpur, KL, Malaysia
  • 5 Department of Surgery, Faculty of Medicine Building, University of Malaya, 50603 Kuala Lumpur, KL, Malaysia
ScientificWorldJournal, 2014;2014:652520.
PMID: 24672348 DOI: 10.1155/2014/652520

Abstract

Aortic dissection, characterized by separation of the layers of the aortic wall, poses a significant challenge for clinicians. While type A aortic dissection patients are normally managed using surgical treatment, optimal treatment strategy for type B aortic dissection remains controversial and requires further evaluation. Although aortic diameter measured by CT angiography has been clinically used as a guideline to predict dilation in aortic dissection, hemodynamic parameters (e.g., pressure and wall shear stress), geometrical factors, and composition of the aorta wall are known to substantially affect disease progression. Due to the limitations of cardiac imaging modalities, numerical simulations have been widely used for the prediction of disease progression and therapeutic outcomes, by providing detailed insights into the hemodynamics. This paper presents a comprehensive review of the existing numerical models developed to investigate reasons behind tear initiation and progression, as well as the effectiveness of various treatment strategies, particularly the stent graft treatment.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.