Correlations between computational fluid dynamics and clinical evaluation of nasal airway obstruction due to septal deviation: An observational study.

Authors:
Arthur Varoquaux
Arthur Varoquaux
Geneva University Hospital
Geneva | United States
Julien Mancini
Julien Mancini
Aix-Marseille University
France
Patrick Dessi
Patrick Dessi
Centre Hospitalier Universitaire La Timone
France

Clin Otolaryngol 2019 Apr 20. Epub 2019 Apr 20.

Department of Oto-Rhino-Laryngology and Head and Neck Surgery, APHM, La Conception University Hospital, Marseille, France.

Objectives: The primary objective of this study was to determine how computational fluid dynamics (CFD) could be correlated to clinical evaluation of nasal airway obstruction (NAO) in a population of patients with symptomatic septal deviation (SD). The secondary objective was to determine whether CFD could define which side was the more obstructed.

Design: This was an observational study.

Settings: Few publications have attempted to correlate CFD with clinical evaluation of NAO. This correlation would permit validation and improved interpretation. This study was performed in a university research laboratory specialised in fluid mechanics.

Participants: We included patients referred for septal surgery at our centre. Age range was 19-58 years. Preoperative CT scans were performed. All patients with non-structural causes of NAO such as rhinitis, sinusitis or tumoral/autoimmune processes (ie, not due to anatomic obstruction) were excluded.

Main Outcome Measurement: For each nasal fossa, we compared CFD data (total pressure, heat flux, wall shear stress, temperatures, velocity and nasal resistances) with both patient perception scores and rhinomanometry using the Spearman correlation test (r ). Perception scores were graded from 0/4 to 4/4 on each side, based on the patient interview. We also compared CFD-derived nasal resistances with rhinomanometry-derived nasal resistances.

Results: Twenty-two patients complaining of NAO with SD were analysed, and 44 analyses were performed comparing each side with its CFD data. Regarding correlations with patient perception scores, the best values we found were heat flux measures (r  = 0.86). Both rhinomanometry and CFD-calculated nasal resistances had strong correlations with subjective perception scores (r  = 0.75, P < 0.001 and r  = 0.6, P < 0.001, respectively). We found a statistically significant difference between RMM-NR and CFD-NR (P = 0.003). Heat flux analysis allowed us to distinguish the more obstructed side (MOS) and the less obstructed side (LOS) in 100% of patients.

Conclusion: This study aimed to enhance our ability to interpret CFD-calculated data in the nasal airway. It highlights and confirms that heat flux measures are very closely correlated to patient perception in cases of SD. It also helps to distinguish the more obstructed side from the less obstructed side and could contribute to further CFD studies.

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Source
https://onlinelibrary.wiley.com/doi/abs/10.1111/coa.13344
Publisher Site
http://dx.doi.org/10.1111/coa.13344DOI Listing
April 2019
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Otolaryngol Clin North Am 2018
Nasal septal deviations: a systematic review of classification systems
Teixeira J et al.
Plast Surg Int 2016
The clinical implications of computerised fluid dynamic modelling in rhinology
Leite S et al.
Rhinology 2019
A review of the implications of computational fluid dynamic studies on nasal airflow and physiology
Leong SC et al.
Rhinology 2010

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