No abstract

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Rhinoplasty is a surgical procedure that aims to improve nasal aesthetics and nasal breathing. The aesthetic improvement of the nose is usually judged subjectively by the patient and the surgeon, but the degree of improvement of nasal obstruction is difficult to assess by clinical examination only. The measurement of peak nasal inspiratory flow (PNIF) is a reliable tool that has been shown to correlate with other objective methods of assessing nasal breathing and with patients' symptoms of nasal obstruction. Twenty-three consecutive patients undergoing rhinoplasty have been evaluated by measurement of PNIF before and after surgery. All but three patients had an increase in PNIF after surgery. The mean preoperative PNIF was 86.5 L/min and the mean postoperative PNIF was 123.0 L/min ( P < 0.001). Not surprisingly, the greatest improvement in PNIF was achieved when bilateral spreader grafts were used. This study suggests that rhinoplasty does improve nasal breathing.

Background Evidence has shown that the sensation of nasal breathing is related to variations in nasal mucosa temperature produced by airflow. An appropriate nasal airflow is necessary for changing mucosal temperature. Therefore, the correlation between objective measurements of nasal airflow and patient‐reported evaluation of nasal breathing should be dependent on the level of nasal airflow. Objectives To find if the correlation between patient‐reported assessment of nasal breathing and objective measurement of nasal airflow is dependent on the severity of symptoms of nasal obstruction or on the level of nasal airflow. Methods The airway of 79 patients was evaluated using NOSE score and peak nasal inspiratory flow (PNIF). Three subgroups were created based on NOSE and three subgroups were created based on PNIF level to find if correlation was dependent on nasal symptoms or airflow. Results The mean value of PNIF for the 79 patients was 92.6 L/min (SD 28.1 L/min). The mean NOSE score was 48.4 (SD 24.4). The correlation between PNIF and NOSE was statistically significant (P = .03), but with a weak association between the two variables (r = −.248). Evaluation of correlation based on symptoms demonstrated a weak or very weak association in each subgroup (r = −.250, r = −.007, r = −.104). Evaluation of correlation based on nasal airflow demonstrated a very weak association for the subgroups with middle‐level and high PNIF values (r = −.190, r = −.014), but a moderate association for the subgroup with low PNIF values (r = −.404). Conclusions This study demonstrated a weak correlation between NOSE scores and PNIF values in patients non‐selected according to symptoms of nasal obstruction or to airflow. It demonstrated that patients with symptoms of nasal obstruction have different levels of nasal airflow and that low nasal airflow prevents the sensation of good nasal breathing. Therefore, patients with symptoms of nasal obstruction may require improving nasal airflow to improve nasal breathing sensation.

Evaluation of the nasal airway is crucial for every patient with symptoms of nasal obstruction as well as for every patient with other nasal symptoms. This assessment of the nasal airway comprises clinical examination together with imaging studies, with the correlation between findings of this evaluation and symptoms reported by the patient being based on the experience of the surgeon. Measuring nasal airway resistance or nasal airflow can provide additional data regarding the nasal airway, but the benefit of these objective measurements is limited due to their lack of correlation with patient-reported evaluation of nasal breathing. Computational fluid dynamics (CFD) has emerged as a valuable tool to assess the nasal airway, as it provides objective measurements that correlate with patient-reported evaluation of nasal breathing. CFD is able to evaluate nasal airflow and measure variables such as heat transfer or nasal wall shear stress, which seem to reflect the activity of the nasal trigeminal sensitive endings that provide sensation of nasal breathing. Furthermore, CFD has the unique capacity of making airway analysis of virtual surgery, predicting airflow changes after trial virtual modifications of the nasal airway. Thereby, CFD can assist the surgeon in deciding surgery and selecting the surgical techniques that better address the features of each specific nose. CFD has thus become a trend in nasal airflow assessment, providing reliable results that have been validated for analyzing airflow in the human nasal cavity. All these features make CFD analysis a mainstay in the armamentarium of the nasal surgeon. CFD analysis may become the gold standard for preoperative assessment of the nasal airway.