Abstract
The purpose of this research is to determine the cause of nasal perforation symptoms and to predict post-operative function after nasal perforation repair surgery. A realistic three-dimensional (3D) model of the nose with a septal perforation was reconstructed using a computed tomography (CT) scan from a patient with nasal septal defect. The numerical simulation was carried out using ANSYS CFX V13.0. Pre- and post-operative models were compared by their velocity, pressure gradient (PG), wall shear (WS), shear strain rate (SSR) and turbulence kinetic energy in three plains. In the post-operative state, the crossflows had disappeared, and stream lines bound to the olfactory cleft area had appeared. After surgery, almost all of high-shear stress areas were disappeared comparing pre-operative model. In conclusion, the effects of surgery to correct nasal septal perforation were evaluated using a three-dimensional airflow evaluation. Following the surgery, crossflows disappeared, and WS, PG and SSR rate were decreased. A high WS.PG and SSR were suspected as causes of nasal perforation symptoms.
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Introduction
Nasal septal perforation can be caused by septal surgery, hemostat to nasal bleeding, tumor removal in the septal area, excessive nose picking, and cocaine use. Patients may have a variety of symptoms, such as nasal bleeding, crust formation, nasal stuffiness and whistling noise. These symptoms are irritating for the patients and they are sustained until the defect is corrected [1, 2]. The mechanisms causing the symptoms of nasal septal perforation have not been fully elucidated. Some reports have shown that septal perforation causes abnormal airflow using a computer simulation of the airway [3–6] but it should be noted that all these simulations were performed using an artificial perforation. In the current study, we analyzed the effects of nasal septum perforation repair on three-dimensional airflow using perforation model reconstructed based on computed tomography (CT) data of a patient, and tried to determine the causes of nasal perforation symptoms and to predict the post-operative nasal function.
Materials and methods
Patient
A 51-year-old female patient visited our hospital complaining of repetitive nasal bleeding, nose stuffiness and crusta formation. During the nasal examination, a perforation 20 mm in diameter was found in the anterior nasal septum (Fig. 1a, b). All of her symptoms were thought to be related to the septal perforation, and repair surgery was planned and performed. The procedure started with the elevation of bilateral mucosal flaps under an endoscopic view. A releasing incision was made across the nasal floor on one side and across the lateral cartilage on the other side. The flaps were slid up- and down-ward, respectively. The perforation is then sutured. After surgery, all symptoms were apparently resolved, given that the patient had no more symptoms when she was evaluated 12 months after surgery. The effect of nasal perforation repair on three-dimensional airflow was evaluated on the model based on CT data from this patient.
Model generation
A realistic three-dimensional (3D) model of the nose with a septal perforation was reconstructed using CT scans of the patient with 0.5 mm thick slices. The data were transferred by DICOM data, and the nasal geometry was determined using INTAGE Volume Editor (CYBERNET SYSTEMS CO., LTD. Tokyo, Japan). The geometry was meshed using ICEM-CFD (ANSYS, Inc. Canonsburg, PA, USA), and the numerical simulation was performed using ANSYS CFX V13.0 (ANSYS, Inc. Canonsburg, PA, USA).
The post-operative model was constructed from the pre-operative CT scan using ICEM-CFD, referring to the post-operative nose condition. For the ICEM-CFD simulation, the flow was assumed to be incompressible, in a quasi-state and at a temperature of 25 °C. To account for the possible existence of turbulence, κ-ε (kappa-epsilon) model was used. This model comprised about one million tetrahedral grids.
As of boundary conditions, the nasal walls were assumed to be a non-slip, rigid model. A velocity of 2 m/s airflow was applied to the outlet surface, and zero gauge pressure was applied to the pressure inlet as atmospheric pressure (Fig. 2).
Analysis
Pre and post-operative models were compared for the stream line velocity, pressure gradient (PG), wall shear (WS), shear stress transport (SSR) and turbulence kinetic energy in three planes (Fig. 3).
Results
The velocity of pre- and post-operative state in the stream line view is shown in Fig. 4. In the pre-operative state, air flow passes thorough across the septal perforation to another side. The maximum speed was recorded 8.9 m/s at the nostrils and the left inferior meatus area. In the post-operative state, the crossflow disappeared. The maximum post-operative speed was 9.18 m/s, which was recorded at same area as in the pre-operative state.
Stream lines bound to the olfactory cleft area appeared post-operatively (Fig. 4, Arrow).
The WS is shown in Fig. 5, and high score points in lateral wall behind perforation and right nostril area seen in plane parallel to Frankfurt plane was disappeared after surgery.
But, high score points appeared in right upper septal wall and surface of right inferior turbinate.
The PG distribution is shown in Fig. 6. In pre-operative state, the posterior, superior and inferior edges of the perforation had high PG. After surgery, the area of the high PG was cleared in posterior, superior and inferior areas, while high gradient newly appeared in surface of right inferior turbinate in post-operative model.
The SSR is shown in Fig. 7. In pre-operative state, the posterior wall and nostril areas had high SSR. After surgery, SSR was reduced in posterior area, but left side repaired septal wall had slightly higher SSR than right side septal wall. In addition, there was no significant difference in turbulence kinetic energy before and after surgery (Fig. 8).
In olfactory are, heterogeneity of velocity was found in pre-operative state, but velocity was almost same in pre and post-operative state (Fig. 9).
Discussion
Septal perforation causes irritating symptoms for patients. However, there are few scientific explanations for the causes of these symptoms. To evaluate the mechanisms for the causes of these symptoms, a nasal air flow analysis has been performed. A nasal obstruction model described by Rhee et al. [7] and Chen et al. [8] was designed to evaluate the effect of septal repair surgery, and this model showed the effectiveness of using computer fluid dynamics (CFD).
For model reconstruction, we used an κ-ε model, which took turbulent airflow into consideration. In our model, we applied airflow with a velocity of 2 m/s at the outlet, which was similar to the 50 Pa applied by Grant et al. [3] and Lee et al. [5]. In addition, the maximum velocity used in Grant’s model was 12 m/s [5], which is similar to the maximum velocity used in our study. However, in our study, turbulence was not observed in pre- or post-operative models. In contrast, Wang [9] found the turbulent flow at flow rate of 30 L/min. This flow rate corresponds to a velocity of 8.3 m/s at the outlet in our model. The rate used by Wang [9] is considered too fast to directly compare with our rate of 2 m/s, and this may be the cause of appearance of turbulence. Turbulent airflow should, however, be considered for a more precise simulation.
In the stream line view, the crossflow disappeared after surgery, and similar to other studies [3–5] a high flow rate was recorded in post-operative model. These findings suggest that septal perforation prevents to provide physiological velocity, which may be a cause of nasal stuffness sensation. Furthermore, in the upper nasal area, some air flow appeared in post-operative model. This suggests that there is a chance of the patient to improve olfactory function after surgery.
The WS was used by several researchers [3, 5] to evaluate the extent of nasal membrane damage. In this study, high score points in lateral wall was decreased by surgery. PG and SSR were concentrated in the posterior area in both models. These findings suggest that not only WS, PG and SSR are decreased by surgery. Because PG and SSR are presenting a deviation of pressure or stress, these expressions are different from pressure or stress. There are some studies for hemodynamic damage to the artery. WS gradient or PG are suggested as mechanical trigger of damage of arterial wall [10, 11]. Thus, this heterogeneity of PG and SSR in our study are thought to cause mucosal damage as well as WS.
Some studies [4, 5] showed a very high WS in the edge area of the perforation, while we found lateral wall behind perforation. This difference may be due to the difference in model used. The high WS in the edge areas could result from the sharp edges on the artificial perforations. However, we used a model based on data from a patient with a septal perforation, which resulted in smooth edges in our model; sharp edges compared to smooth edges might account for the differences observed between other studies [3, 4] and ours.
In the current study, we presented the usefulness of CFD for nasal septal perforation repair using a perforation model based on an actual septal defect in a patient. A further research comparing airflow and stress distribution using a real post-operative model is required to confirm our results, and also we need to collect more cases.
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Nomura, T., Ushio, M., Kondo, K. et al. Effects of nasal septum perforation repair surgery on three-dimensional airflow: an evaluation using computational fluid dynamics. Eur Arch Otorhinolaryngol 272, 3327–3333 (2015). https://doi.org/10.1007/s00405-014-3438-z
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DOI: https://doi.org/10.1007/s00405-014-3438-z