Computational Models of Aortic Coarctation in Hypoplastic Left Heart Syndrome: Considerations on Validation of a Detailed 3D model
| Autor: | Gabriele Dubini, Anthony Hlavacek, Andrew Taylor, Silvia Schievano, CHIARA CORSINI, Francesco Migliavacca, GIANCARLO PENNATI, Giovanni Biglino, Alison Marsden, Jeffrey Feinstein |
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| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
medicine.medical_treatment Biomedical Engineering Medicine (miscellaneous) Aorta Thoracic Bioengineering 3d model Aortic Coarctation Hypoplastic left heart syndrome Biomaterials Internal medicine Hypoplastic Left Heart Syndrome medicine Humans Arterial Pressure Computer Simulation Blalock–Taussig shunt Computational model business.industry Hemodynamics Models Cardiovascular Reproducibility of Results General Medicine Blood flow medicine.disease Transplantation Single ventricle physiology Cardiology Pulmonary artery shunt business |
| Zdroj: | The International Journal of Artificial Organs. 37:371-381 |
| ISSN: | 1724-6040 0391-3988 |
| Popis: | Background Reliability of computational models for cardiovascular investigations strongly depends on their validation against physical data. This study aims to experimentally validate a computational model of complex congenital heart disease (i.e., surgically palliated hypoplastic left heart syndrome with aortic coarctation) thus demonstrating that hemodynamic information can be reliably extrapolated from the model for clinically meaningful investigations. Materials and methods A patient-specific aortic arch model was tested in a mock circulatory system and the same flow conditions were re-created in silico, by setting an appropriate lumped parameter network (LPN) attached to the same three-dimensional (3D) aortic model (i.e., multi-scale approach). The model included a modified Blalock-Taussig shunt and coarctation of the aorta. Different flow regimes were tested as well as the impact of uncertainty in viscosity. Results Computational flow and pressure results were in good agreement with the experimental signals, both qualitatively, in terms of the shape of the waveforms, and quantitatively (mean aortic pressure 62.3 vs. 65.1 mmHg, 4.8% difference; mean aortic flow 28.0 vs. 28.4% inlet flow, 1.4% difference; coarctation pressure drop 30.0 vs. 33.5 mmHg, 10.4% difference), proving the reliability of the numerical approach. It was observed that substantial changes in fluid viscosity or using a turbulent model in the numerical simulations did not significantly affect flows and pressures of the investigated physiology. Results highlighted how the non-linear fluid dynamic phenomena occurring in vitro must be properly described to ensure satisfactory agreement. Conclusions This study presents methodological considerations for using experimental data to preliminarily set up a computational model, and then simulate a complex congenital physiology using a multi-scale approach. |
| Databáze: | OpenAIRE |
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