Abstract
The article focuses on the robustness of a CFD-based procedure for the quantitative evaluation of the nasal airflow. CFD ability to yield robust results with respect to the unavoidable procedural and modeling inaccuracies must be demonstrated to allow this tool to become part of the clinical practice in this field. The present article specifically addresses the sensitivity of the CFD procedure to the spatial resolution of the available CT scans, as well as to the choice of the segmentation level of the CT images. We found no critical problems concerning these issues; nevertheless, the choice of the segmentation level is potentially delicate if carried out by an untrained operator.
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Arbour P, Bilgen E, Girardin M (1985) Experimental study of nasal velocity fields in a human nasal fossa by laser anemometry. Rhinology 23:201–207
Chen X, Lee H, Chong V, Wang D (2009) Assessment of septal deviation effects on nasal air flow: a computational fluid dynamics model. Am Laryngol Rhinol Otol Soc 119:1730–1736
Choi J, Tawhai MH, Hoffman EA, Lin C-L (2009) On intra- and inter-subject variabilities of airflow in the human lungs. Phys Fluids 21:101901
Clements PA, Gortds F (2005) Standardisation Committee on Objective Assessment of the Nasal Airway, IRS, and ERS Consensus report on acoustic rhinometry and rhinomanometry. Rhynology 43(3):169–179
Doorly D, Taylor D, Gambaruto A, Schroter R, Tolley N (2008) Nasal architecture: form and flow. Philos Trans R Soc 366:3225–3246
Elad D, Liebenthal R, Wenig B, Einag S (1993) Analysis of air flow pattern in the human nose. Med Bio Eng Comput 31:585–592
Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin JC, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller J, Pieper S, Kikinis R (2012) 3D slicer as an image computing platform for the quantitative imaging network. Magnetic Resonance Imaging p. 22770690. http://www.arxiv.org
Ferziger JH, Peric M (2013) Computational Methods for Fluid Dynamics. Springer, Berlin
Frank DO, Zanation AM, Dhandha VH, McKinney KA, Fleischman GM, Ebert CS Jr, Senior BA, Kimbell JS (2013) Quantification of airflow into the maxillary sinuses before and after functional endoscopic sinus surgery. Int Forum Allergy Rhinol. 10:834–40
Hahn I, Scherer P, Mozell M (1993) Velocity profiles measured for airflow through a large-scale model of the human nasal cavity. J Appl Physiol 75:2273–2287
Hörschler I, Schröder W, Meinke M (2010) On the assumption of steadiness of nasal cavity flow. Biomechanics 43:1081–1085
Kleinstreuer C, Zhang Z (2010) Airflow and particle transport in the human respiratory system. Ann Rev Fluid Mech 42:301–334
Leong S, Chen X, Lee H, Wang D (2010) A review of the implications of computational fluid dynamic studies on nasal airflow and physiology. J Rhinol 48:139–145
Martonen T, Quan L, Zhang Z, Musante C (2002) Flow simulation in the human upper respiratory tract. Cell Biochem Biophys 37:2736
Menter F (1994) Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J 32(8):1598–1605
Mihaescu M, Mylavarapu G, Gutmark EJ, Powell NB (2011) Large Eddy simulation of the pharyngeal airflow associated with Obstructive Sleep Apnea Syndrome at pre and post-surgical treatment. J Biomech 44(12):2221–2228
Mylavarapu G, Murugappan S, Mihaescu M, Kalra M, Khosla S, Gutmark E (2009) Validation of computational fluid dynamics methodology used for human upper airway flow simulations. J Biomech 42(10):1553–1559
Nathan A, Eccles R, Howarth P, Steinsvag S, Togias A (2005) Objective monitoring of nasal patency and nasal physiology in rhinitis. J Allergy Clin Immunol 115(3):S442–S459
Pötker DM, Smith TL (2007) Adult chronic rhinosinusitis: surgical outcomes and the role of endoscopic sinus surgery. Curr Opin Otolaryngol Head Neck Surg 15(1):6–9
Pope S (2000) Turbulent flows. Cambridge University Press, Cambridge
Quadrio M, Pipolo C, Corti S, Lenzi R, Messina F, Pesci C, Felisati G (2013) Review of computational fluid dynamics in the assessment of nasal air flow and analysis of its limitations. Eur Arch Otorhinolaryngol. doi:10.1007/s00405-013-2742-3
Rhee J, Pawar S, Garcia G, Kimbell J (2011) Toward personalized nasal surgery using computational fluid dynamics. Arch Facial Plast Surg E1–E6
Schumacher M (2004) Nasal dyspnea: the place of rhinomanometry in its objective assessment. Am J Rhinol 18(1):41–46
Shivakumar T, Sambandan AP (2011) Retrospective analysis of the effectiveness of functional endoscopic sinus surgery in the treatment of adult chronic rhinisinusitis refractory to medical treatment. Indian J Otolaryngol Head Neck Surg 63(4):321–324
Stewart M, Ferguson B, Fromer L (2010) Epidemiology and burden of nasal congestion. Int J Gen Med 3:37–45
Wang D, Lee H, Gordon R (2012) Impacts of fluid dynamics simulation in study of nasal airflow physiology and pathophysiology in realistic human three-dimensional nose models. Clin Exp Otorhinolaryngol 5(4):181–187
Weller H, Tabor G, Jasak H, Fureby C (1998) A tensorial approach to computational continuum mechanics using object-oriented techniques. Comput Phys 12:620–631
Xiong G, Zhan J, Zuo K, Li J, Rong L, Xu G (2008) Numerical flow simulation in the post-endoscopic sinus surgery nasal cavity. Med Bio Eng Comput 46:1161–1167
Yin Y, Choi J, Hoffman EA, Tawhai MH, Lin C-L (2010) Simulation of pulmonary air flow with a subject-specific boundary condition. J Biomech 43(11):2159–2163
Yin Y, Choi J, Hoffman EA, Tawhai MH, Lin C-L (2013) A multi- scale MDCT image-based breathing lung model with time-varying regional ventilation. J Comput Phys 244:168–192
Zhao K, Blacker K, Luo Y, Bryant B, Jiang J (2011) Perceiving nasal patency through mucosal cooling rather than air temperature or nasal resistance. PLoS One 6(10):e24,618
Zhao K, Dalton P, Yang G, Scherer P (2006) Numerical modeling of turbulent and laminar airflow and odorant transport during sniffing in the human and rat nose. Chem Senses 31:107–118
Zhao K, Scherer P, Hajiloo S, Dalton P (2004) Effect of anatomy on human nasal air flow and odorant transport patterns: implications for olfaction. Chem Senses 29:365–379
Zhu J, Lim K, Thong K, Wang D, Lee H (2014) Assessment of airflow ventilation in human nasal cavity and maxillary sinus before and after targeted sinonasal surgery: a numerical case study. Respir Physiol Neurobiol 194:29–36
Acknowledgments
Part of the calculations presented here has been carried out on the Lagrange supercomputer of the CINECA (formerly CILEA) computing center in Milano/Bologna, Italy. We thankfully acknowledge their support.
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Quadrio, M., Pipolo, C., Corti, S. et al. Effects of CT resolution and radiodensity threshold on the CFD evaluation of nasal airflow. Med Biol Eng Comput 54, 411–419 (2016). https://doi.org/10.1007/s11517-015-1325-4
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DOI: https://doi.org/10.1007/s11517-015-1325-4