Evaluation of the intranasal flow field through computational fluid dynamics

Area of Science:

• Otorhinolaryngology
• Biomedical Engineering
• Medical Imaging

Background:

• Objective assessment of nasal breathing is crucial in rhinologic surgery but remains a significant challenge.
• Current standard diagnostic tools like rhinomanometry have inherent limitations.
• Computational Fluid Dynamics (CFD) has emerged as a powerful computational tool for analyzing complex fluid flows, including airflow within the nasal cavity.

Purpose of the Study:

• To explore the application of Computational Fluid Dynamics (CFD) for evaluating nasal breathing.
• To investigate airflow characteristics in both a healthy individual and a patient with nasal breathing impairments.
• To analyze changes in nasal airflow patterns before and after surgical intervention using CFD.

Main Methods:

• Utilized CFD simulations to model airflow within the nasal passages.
• Analyzed specific flow field features, such as pressure and velocity distributions.
• Compared CFD results for a symptom-free subject and a symptomatic patient, both pre- and post-surgery.

Main Results:

• CFD successfully visualized and quantified nasal airflow patterns.
• Demonstrated distinct differences in flow dynamics between healthy and impaired nasal breathing.
• Highlighted measurable changes in airflow post-rhinosurgery, indicating CFD's potential for outcome assessment.

Conclusions:

• CFD presents a viable and objective method for assessing nasal breathing impairments.
• The study provides a foundation for integrating CFD into clinical rhinologic practice.
• CFD offers valuable insights into the effects of surgical interventions on nasal airflow.