ArticleThe Annals of otology, rhinology, and laryngology2019
The Application of Computational Fluid Dynamics in the Evaluation of Laryngotracheal Pathology.
Article in The Annals of otology, rhinology, and laryngology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Assessing Changes in Airflow and Energy Loss in a Progressive Tracheal Compression Before and After Surgical Correction.Annals of biomedical engineering · 2020Trial
- Application of numerical simulation of upper airway flow field in pediatric obstructive sleep apnea with adenoid hypertrophy.Quantitative imaging in medicine and surgery · 2026Article
- Computational fluid dynamics as an objective measure for assessing congenital tracheal stenosis: Proof-of-concept study.JTCVS open · 2026Article
- Classic Bronchoscopic Nodularity Sparing the Posterior Wall: A Case of Tracheobronchopathia Osteochondroplastica.Cureus · 2025Article
- The Effect of an Increasing Subglottal Stenosis Constriction That Extends From the Vocal Folds to the Inferior Border of the Cricoid Cartilage.Journal of biomechanical engineering · 2024Article
- Airway Resistance and Respiratory Distress in Laryngeal Cancer: A Computational Fluid Dynamics Study.The Laryngoscope · 2023Article
- Computational Fluid Dynamic Modeling Reveals Nonlinear Airway Stress during Trachea Development.The Journal of pediatrics · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectivesLaryngotracheal stenosis and obstruction can be challenging to manage. Traditional assessment tools are limited in clinical correlation. Three-dimensional computational fluid dynamics (CFD) modeling is a novel technique used to analyze airflow dynamics. The objective of this study was to apply CFD to the human upper airway to explore its utility.
methodsCFD models were constructed on an adult patient with an obstructive tracheal lesion before and after intervention and on an adult with normal airway anatomy, using computed tomographic imaging obtained retrospectively. Key airflow metrics were calculated.
resultsCFD provided detailed airway geometry. The normal airway had a peak flow velocity of 3.12 m/s, wall shear stress of 0.30 Pa, and resistance of 0.02 Pa/mL/s. The pathologic patient showed an elevated peak flow velocity of 12.25 m/s, wall shear stress of 3.90 Pa, and resistance of 0.22 Pa/mL/s. This was reflected clinically with dyspnea, stridor, and obstructive impairment via pulmonary function testing. Following treatment, peak flow velocity corrected to 3.95 m/s, wall shear stress to 0.72Pa, and resistance to 0.01 Pa/mL/s. Cross-sectional area improved to 190 mm
conclusionsCFD metrics were calculated on the normal, diseased, and posttreatment upper airway. Variations were reflected in clinical symptoms. These methods could model surgical outcomes and anticipate disease severity.
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