Giulia Spezia
Evaluating the impact of artificial obstructions on the aerodynamics of a personalized computational fluid dynamic model of human tracheobronchial tree.
Rel. Giuseppe De Nisco, Umberto Morbiducci. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
Abstract
Long-term exposure to pollutants and irritating agents may trigger the development of respiratory system infections and diseases, representing the second leading cause of death in the Western Word. Obstructive lung diseases, such as asthma, and chronic obstructive pulmonary disease are characterized by a reduction in bronchi lumen area, with consequent alteration of bronchial tree functionality. The main causes of obstructive diseases (ODs), often asymptomatic until significant lung damage has occurred, are still not completely understood. Studying the aerodynamics of the respiratory system might help the comprehension and characterization of the factors involved in ODs onset and development, supporting diagnosis, prediction and treatment evaluation.
In this context, computational fluid dynamics (CFD) represents an attractive tool to obtain quantitative and local information about tracheobronchial airflow dynamics, overcoming the limitations of current clinical approaches (i.e., spirometry and cardiopulmonary exercise tests), which provide an average at-the-mouth estimation of residual functionality
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