Patient specific CFD models of nasal airflow: Overview of methods and challenges

• Published in: Journal of biomechanics Vol. 46; no. 2; pp. 299 - 306
• Main Authors: Kim, Sung Kyun, Na, Yang, Kim, Jee-In, Chung, Seung-Kyu
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 18.01.2013; Elsevier Limited
• Subjects: 3D modeling; Biomedical flow; CFD; Computer Simulation; Humans; Imaging, Three-Dimensional - methods; Models, Biological; Nasal cavity; Nasal Cavity - pathology; Nasal Cavity - physiopathology; Nasal Cavity - surgery; Nose; Physical Medicine and Rehabilitation; Physiology; Pulmonary Ventilation; Simulation; Software; Studies; CFD; 3D modeling; Biomedical flow; Physiology; Nasal cavity
• DOI: 10.1016/j.jbiomech.2012.11.022
• ISSN: 0021-9290; 1873-2380

Respiratory physiology and pathology are strongly dependent on the airflow inside the nasal cavity. However, the nasal anatomy, which is characterized by complex airway channels and significant individual differences, is difficult to analyze. Thus, commonly adopted diagnostic tools have yielded limited success. Nevertheless, with the rapid advances in computer resources, there have been more elaborate attempts to correlate airflow characteristics in human nasal airways with the symptoms and functions of the nose by computational fluid dynamics study. Furthermore, the computed nasal geometry can be virtually modified to reflect predicted results of the proposed surgical technique. In this article, several computational fluid mechanics (CFD) issues on patient-specific three dimensional (3D) modeling of nasal cavity and clinical applications were reviewed in relation to the cases of deviated nasal septum (decision for surgery), turbinectomy, and maxillary sinus ventilation (simulated- and post-surgery). Clinical relevance of fluid mechanical parameters, such as nasal resistance, flow allocation, wall shear stress, heat/humidity/NO gas distributions, to the symptoms and surgical outcome were discussed. Absolute values of such parameters reported by many research groups were different each other due to individual difference of nasal anatomy, the methodology for 3D modeling and numerical grid, laminar/turbulent flow model in CFD code. But, the correlation of these parameters to symptoms and surgery outcome seems to be obvious in each research group with subject-specific models and its variations (virtual- and post-surgery models). For the more reliable, patient-specific, and objective tools for diagnosis and outcomes of nasal surgery by using CFD, the future challenges will be the standardizations on the methodology for creating 3D airway models and the CFD procedures.