Robust nondimensional estimators to assess the nasal airflow in health and disease
There are significant variations of both human nose shapes and airflow patternsinside nasal cavities, so it is difficult to provide a comprehensive medical identifica-tion using a universal template for what otolaryngologists consider normal breathingat rest. In addition, airflow patterns present ev...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad Politécnica de Cartagena(UPCT) |
| Repositorio: | Repositorio Digital UPCT |
| OAI Identifier: | oai:repositorio.upct.es:10317/13318 |
| Acceso en línea: | http://hdl.handle.net/10317/13318 https://onlinelibrary.wiley.com/doi/epdf/10.1002/cnm.2906 |
| Access Level: | acceso abierto |
| Palabra clave: | 3D model Airway dynamics Computational fluid dynamics Healthy and diseased nasal cavities Mecánica de Fluidos 2410.02 Anatomía Humana |
| Sumario: | There are significant variations of both human nose shapes and airflow patternsinside nasal cavities, so it is difficult to provide a comprehensive medical identifica-tion using a universal template for what otolaryngologists consider normal breathingat rest. In addition, airflow patterns present even more random characteristics in dis-eased nasal cavities. To give a medical assessment to differentiate the nasal cavitiesin health and disease, we propose 2 nondimensional estimators obtained from bothmedical images and computational fluid dynamics. The first mathematical estima-tor�������is a function of geometric features and potential asymmetries between nasalpassages, while the second estimatorRrepresents in fluid mechanics terms the totalnasal resistance that corresponds to the atmosphere-choana pressure drop. Theseestimators only require global information such as nasal geometry and magnitudesof flow determined by simulations under laminar conditions. We find that these esti-mators take low and high values for healthy and diseased nasal cavities, respectively.Our study, based on 24 healthy and 25 diseased Caucasian subjects, reveals that thereis an interval of values associated with healthy cavities that clusters in a small regionof the plane�������−R. Therefore, these estimators can be seen as a first approximationto provide nasal airflow data to the clinician in a noninvasive method, as the com-puted tomography scan that provides the required images is routinely obtained as aresult of the preexisting naso-sinusal condition |
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