Quantification of tissue engineered trachea performance with computational fluid dynamics

摘要

OBJECTIVESCurrent techniques for airway characterization include endoscopic or radiographic measurements that produce static, two-dimensional descriptions. As pathology can be multilevel, irregularly shaped, and dynamic, “minimal luminal area” (MLA) may not provide the most comprehensive description or diagnostic metric. Our aim was to examine the utilization of computational fluid dynamics (CFD) for the purpose of defining airway stenosis using an ovine model of tissue engineered tracheal implantation (TETGs).