Virtual septoplasty: a method to predict surgical outcomes for patients with nasal airway obstruction

• Published in: International journal for computer assisted radiology and surgery Vol. 15; no. 4; pp. 725 - 735
• Main Authors: Moghaddam, Masoud Gh, Garcia, Guilherme J. M., Frank-Ito, Dennis O., Kimbell, Julia S., Rhee, John S.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2020; Springer Nature B.V
• Subjects: Adolescent; Adult; Aerodynamics; Aged; Aged, 80 and over; Air flow; Airspace; Airway management; Benchmarks; Computational fluid dynamics; Computer Imaging; Computer Science; Deviation; Etiology; Female; Geometry; Health Informatics; Humans; Imaging; Male; Medicine; Medicine & Public Health; Middle Aged; Nasal Obstruction - diagnostic imaging; Nasal Obstruction - surgery; Nasal Septum - diagnostic imaging; Nasal Septum - surgery; Nose; Original Article; Patients; Pattern Recognition and Graphics; Prognosis; Radiology; Rhinoplasty; Septum; Software; Surgery; Surgical outcomes; Tomography, X-Ray Computed; Treatment Outcome; Vision; Young Adult; Nasal airway obstruction due to a deviated septum; Healthy subjects; Virtual surgery planning; Nasal resistance; Computational fluid dynamics (CFD) simulations of nasal airflow

Purpose A deviated nasal septum is the most common etiology for nasal airway obstruction (NAO), and septoplasty is the most common surgical procedure performed by ear–nose–throat surgeons in adults. However, quantitative criteria are rarely adopted to select patients for surgery, which may explain w...