Abstract
Aortic dissections are a lethal disease affecting thousands of people in the USA each year. This chapter illustrates the application of personalized computational fluid dynamics (CFD) in understanding the hemodynamics of DeBakey type III/Stanford B aortic dissections (dissections confined to the descending aorta), pre-and post-surgical interventions, and simulating hemodynamic changes as a pretreatment planning tool. In this regard, CFD simulations using patient-derived data may be useful for gaining a conceptual understanding of the hemodynamic factors for a particular aortic dissection before intervention and how these factors change with treatment or disease progression. CFD simulations have a potential role in evaluating a number of scenarios and configurations, guiding therapy, and providing a basis for outcome prediction.
Original language | English (US) |
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Title of host publication | Computational Surgery and Dual Training |
Subtitle of host publication | Computing, Robotics and Imaging |
Publisher | Springer New York |
Pages | 241-256 |
Number of pages | 16 |
ISBN (Electronic) | 9781461486480 |
ISBN (Print) | 9781461486473 |
DOIs | |
State | Published - Jan 1 2014 |
Keywords
- Aortic dissections
- Cardiovascular disease
- Computational fluid dynamic
- False lumen
- Fenestration
- Hemodynamics
- Pressure catheter
- Retrograde flow
- Surgical planning
- TEVAR
- Thrombosis
- Transcient flow
- Wall shear stress
ASJC Scopus subject areas
- Engineering(all)