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Computational fluid dynamic simulations for determination of ventricular workload in aortic arch obstructions
Jessica S Coogan1, Frandics P Chan, John F Ladisa
1Department of Bioengineering, Stanford University, Stanford, CA, USA.
Insights
Computational simulations reveal that aortic hypoplasia increases cardiac workload more than coarctation. Different types of aortic arch obstruction present varying hemodynamic challenges.
Area of Science:
- Cardiovascular research
- Medical imaging
- Computational fluid dynamics
Background:
- Aortic arch obstruction, including coarctation and hypoplasia, affects cardiac workload.
- Understanding the hemodynamic impact of different obstruction types is crucial for patient management.
Purpose of the Study:
- To determine the cardiac workload associated with various aortic arch obstructions using computational fluid dynamics (CFD).
- To compare the hemodynamic significance of different types of aortic hypoplasia and coarctation.
Main Methods:
- Collected CT image data from 4 patients with distinct aortic arch obstructions and 4 controls.
- Created 3D models and simulated blood flow using CFD to calculate cardiac workload.
- Varied obstruction severity (25-75% diameter narrowing) and compared results to controls.
Main Results:
- Aortic hypoplasia (types A, B, D) required a greater cardiac workload increase compared to aortic coarctation at equivalent narrowing percentages.
- 75% type A, 50% type B, and 50% type D hypoplasia showed higher workload demands than 75% coarctation.
- Minor narrowing (25%) in type A and B hypoplasia did not significantly alter cardiac workload compared to controls.
Conclusions:
- CFD simulations effectively quantify the hemodynamic significance of aortic arch obstructions.
- Aortic hypoplasia presents a greater cardiac workload challenge than coarctation for similar degrees of narrowing.
- These findings have implications for assessing and managing patients with congenital heart disease and aortic abnormalities.
Objective:
The cardiac workload associated with various types of aortic obstruction was determined using computational fluid dynamic simulations.
Methods:
Computed tomography image data were collected from 4 patients with 4 distinct types of aortic arch obstructions and 4 controls. The categorization of arch hypoplasia corresponded to the "A, B, C" nomenclature of arch interruption; a type "D" was added to represent diffuse arch hypoplasia. Measurements of the vessel diameter were compared against the normal measurements to determine the degree of narrowing. Three-dimensional models were created for each patient, and additional models were created for type A and B hypoplasia to represent 25%, 50%, and 75% diameter narrowing. The boundary conditions for the computational simulations were chosen to achieve realistic flow and pressures in the control cases. The simulations were then repeated after changing the boundary conditions to represent a range of cardiac and vascular adaptations. The resulting cardiac workload was compared with the control cases.
Results:
Of the 4 patients investigated, 1 had aortic coarctation and 3 had aortic hypoplasia. The cardiac workload of the patients with 25% narrowing type A and B hypoplasia was not appreciably different from that of the control. When comparing the different arch obstructions, 75% type A, 50% type B, and 50% type D hypoplasia required a greater workload increase than 75% coarctation.
Conclusions:
The present study has determined the hemodynamic significance of aortic arch obstruction using computational simulations to calculate the cardiac workload. These results suggest that all types of hypoplasia pose more of a workload challenge than coarctation with an equivalent degree of narrowing.
