Patient specific CFD models of nasal airflow: overview of methods and challenges.

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.

[1]  Guilherme J M Garcia,et al.  Toward personalized nasal surgery using computational fluid dynamics. , 2011, Archives of facial plastic surgery.

[2]  E. Matida,et al.  Creation of a standardized geometry of the human nasal cavity. , 2009, Journal of applied physiology.

[3]  Yang Na,et al.  Effects of single-sided inferior turbinectomy on nasal function and airflow characteristics , 2012, Respiratory Physiology & Neurobiology.

[4]  I. Konstantinidis,et al.  Long term results following nasal septal surgery. Focus on patients' satisfaction. , 2005, Auris, nasus, larynx.

[5]  Sung-Kyun Kim Particle Image Velocimetry Measurements in Nasal Airflow , 2002 .

[6]  H. Jung,et al.  Prevalence study of nasal septal deformities in Korea: results of a nation-wide survey. , 1995, Rhinology.

[7]  Shanmugam Murugappan,et al.  Validation of computational fluid dynamics methodology used for human upper airway flow simulations. , 2009, Journal of biomechanics.

[8]  G. A. Waggenspack,et al.  CT Evaluation of the Paranasal Sinuses in Symptomatic and Asymptomatic Populations , 1991, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[9]  S. Kaluskar Endoscopic Sinus Surgery , 1997 .

[10]  D. J. Taylor,et al.  Nasal architecture: form and flow , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[11]  R. C. Schroter,et al.  Mechanics of airflow in the human nasal airways , 2008, Respiratory Physiology & Neurobiology.

[12]  J. Zhan,et al.  Use of computational fluid dynamics to study the influence of the uncinate process on nasal airflow , 2010, The Journal of Laryngology & Otology.

[13]  F. Wahl,et al.  Comparison between Manual and Semi-automatic Segmentation of Nasal Cavity and Paranasal Sinuses from CT Images , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Jianfeng Li,et al.  Numerical flow simulation in the post-endoscopic sinus surgery nasal cavity , 2008, Medical & Biological Engineering & Computing.

[15]  Grace M. Kepler,et al.  Effects of Differences in Nasal Anatomy on Airflow Distribution: A Comparison of Four Individuals at Rest , 2008, Annals of Biomedical Engineering.

[16]  D. Doorly,et al.  Modelling nasal airflow using a Fourier descriptor representation of geometry , 2009 .

[17]  H P Lee,et al.  A review of the implications of computational fluid dynamic studies on nasal airflow and physiology. , 2010, Rhinology.

[18]  Goodarz Ahmadi,et al.  Micro and nanoparticle deposition in human nasal passage pre and post virtual maxillary sinus endoscopic surgery , 2012, Respiratory Physiology & Neurobiology.

[19]  S. K. Kim,et al.  An investigation on airflow in disordered nasal cavity and its corrected models by tomographic PIV , 2004 .

[20]  H P Lee,et al.  Aerodynamic effects of inferior turbinate surgery on nasal airflow--a computational fluid dynamics model. , 2010, Rhinology.

[21]  David Wexler,et al.  Aerodynamic effects of inferior turbinate reduction: computational fluid dynamics simulation. , 2005, Archives of otolaryngology--head & neck surgery.

[22]  Yang Na,et al.  The quantitative effect of an accessory ostium on ventilation of the maxillary sinus , 2012, Respiratory Physiology & Neurobiology.

[23]  R. Eccles,et al.  Normal nasal patency: problems in obtaining standard reference values for the surgeon , 2012, The Journal of Laryngology & Otology.

[24]  G. Ahmadi,et al.  Numerical investigation of septal deviation effect on deposition of nano/microparticles in human nasal passage , 2011, Respiratory Physiology & Neurobiology.

[25]  R. Eccles,et al.  What, if any, is the value of septal surgery? , 2002, Clinical otolaryngology and allied sciences.

[26]  David Towey,et al.  Physical and Computational Modeling of Ventilation of the Maxillary Sinus , 2011, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[27]  H. Lee,et al.  Assessment of septal deviation effects on nasal air flow: A computational fluid dynamics model , 2009, The Laryngoscope.

[28]  D J Doorly,et al.  Computational modeling of flow and gas exchange in models of the human maxillary sinus. , 2009, Journal of applied physiology.

[29]  Cuneyt Sert,et al.  Numerical Study of the Aerodynamic Effects of Septoplasty and Partial Lateral Turbinectomy , 2008, The Laryngoscope.

[30]  Markus Hess,et al.  Experimentelle Untersuchung der Strombahnen in der Nasenhaupthöhle des Menschen am Nasen-Modell , 1992 .

[31]  David Elad,et al.  Air-conditioning in the human nasal cavity , 2008, Respiratory Physiology & Neurobiology.

[32]  N. Jones,et al.  A study of the CT findings in 100 patients with rhinosinusitis and 100 controls. , 1997, Clinical otolaryngology and allied sciences.

[33]  G. Kenyon,et al.  Is there objective evidence that septal surgery improves nasal airflow? , 2006, The Journal of laryngology and otology.

[34]  E. Bass,et al.  Recent Trends in Utilization of Procedures in Otolaryngology‐Head and Neck Surgery , 1997, The Laryngoscope.

[35]  Guilherme J M Garcia,et al.  Septal Deviation and Nasal Resistance: An Investigation using Virtual Surgery and Computational Fluid Dynamics , 2010, American journal of rhinology & allergy.

[36]  Donald F. Proctor,et al.  The Nose, upper airway physiology and the atmospheric environment , 1982 .

[37]  Jiyuan Tu,et al.  Numerical simulations for detailed airflow dynamics in a human nasal cavity , 2008, Respiratory Physiology & Neurobiology.

[38]  R. C. Schroter,et al.  Transport Phenomena in the Human Nasal Cavity: A Computational Model , 1998, Annals of Biomedical Engineering.

[39]  Yang Na,et al.  Unsteady flow characteristics through a human nasal airway , 2010, Respiratory Physiology & Neurobiology.

[40]  D. Doorly,et al.  Inflow boundary profile prescription for numerical simulation of nasal airflow , 2010, Journal of The Royal Society Interface.

[41]  R. Naclerio,et al.  Sinusitis: bench to bedside. Current findings, future directions. , 1997, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[42]  Seung-Kyu Chung,et al.  Digital particle image velocimetry studies of nasal airflow , 2008, Respiratory Physiology & Neurobiology.

[43]  Experimental and Numerical Flow Visualization on Detailed Flow Field in the Post-surgery Models for the Simulation of the Inferior Turbinectomy , 2011 .

[44]  Alberto M. Gambaruto,et al.  Nasal airflow: computational and experimental modelling , 2006 .

[45]  W. Ho,et al.  Time course in the relief of nasal blockage after septal and turbinate surgery: a prospective study. , 2004, Archives of otolaryngology--head & neck surgery.

[46]  Anthony S. Wexler,et al.  Particle image velocimetry measurements in complex geometries , 2000 .

[47]  John S Rhee,et al.  Measuring outcomes in nasal surgery: realities and possibilities. , 2009, Archives of facial plastic surgery.

[48]  L. Malm,et al.  Selection with and without Rhinomanometry of Patients for Septoplasty , 1989 .

[49]  M. M. Mozell,et al.  The biophysics of nasal airflow. , 1989, Otolaryngologic clinics of North America.

[50]  Junjie Gu,et al.  Numerical simulation of aerosol deposition in a 3-D human nasal cavity using RANS, RANS/EIM, and LES , 2007 .

[51]  Gerhard Rettinger,et al.  Numerical simulation of intranasal air flow and temperature after resection of the turbinates. , 2005, Rhinology.