Courtney Gaberino1, John S Rhee2, Guilherme J M Garcia3. 1. Department of Otolaryngology and Communication Sciences, Medical College of Wisconsin, United States; Department of Biomedical Engineering, Marquette University & the Medical College of Wisconsin, United States. Electronic address: cgaberino@mcw.edu. 2. Department of Otolaryngology and Communication Sciences, Medical College of Wisconsin, United States. Electronic address: jrhee@mcw.edu. 3. Department of Otolaryngology and Communication Sciences, Medical College of Wisconsin, United States; Department of Biomedical Engineering, Marquette University & the Medical College of Wisconsin, United States. Electronic address: ggarcia@mcw.edu.
Abstract
INTRODUCTION: The nasal cycle represents a significant challenge when comparing pre- and post-surgery objective measures of nasal airflow. METHODS: Computational fluid dynamics (CFD) simulations of nasal airflow were conducted in 12 nasal airway obstruction patients showing significant nasal cycling between pre- and post-surgery computed tomography scans. To correct for the nasal cycle, mid-cycle models were created virtually. Subjective scores of nasal patency were obtained via the Nasal Obstruction Symptom Evaluation (NOSE) and unilateral visual analog scale (VAS). RESULTS: The correlation between objective and subjective measures of nasal patency increased after correcting for the nasal cycle. In contrast to biophysical variables in individual patients, cohort averages were not significantly affected by the nasal cycle correction. CONCLUSIONS: The ability to correct for the confounding effect of the nasal cycle is a key element that future virtual surgery planning software for nasal airway obstruction will need to account for when using anatomic models based on single instantaneous imaging. Copyright Â
INTRODUCTION: The nasal cycle represents a significant challenge when comparing pre- and post-surgery objective measures of nasal airflow. METHODS: Computational fluid dynamics (CFD) simulations of nasal airflow were conducted in 12 nasal airway obstructionpatients showing significant nasal cycling between pre- and post-surgery computed tomography scans. To correct for the nasal cycle, mid-cycle models were created virtually. Subjective scores of nasal patency were obtained via the Nasal Obstruction Symptom Evaluation (NOSE) and unilateral visual analog scale (VAS). RESULTS: The correlation between objective and subjective measures of nasal patency increased after correcting for the nasal cycle. In contrast to biophysical variables in individual patients, cohort averages were not significantly affected by the nasal cycle correction. CONCLUSIONS: The ability to correct for the confounding effect of the nasal cycle is a key element that future virtual surgery planning software for nasal airway obstruction will need to account for when using anatomic models based on single instantaneous imaging. Copyright Â
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