ArticleComputers in biology and medicine2020
The effect of airway motion and breathing phase during imaging on CFD simulations of respiratory airflow.
Article in Computers in biology and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 38 citations in OpenAlex.
- Reducing scan time burden for neonatal MRI of pulmonary structure using FLORET UTE.Magma (New York, N.Y.) · 2026Article
- Impact of Surgical Diaphragmatic Repair on Central Airway Shape in Neonatal Congenital Diaphragmatic Hernia.Pediatric pulmonology · 2026Article
- Computational fluid dynamics as an objective measure for assessing congenital tracheal stenosis: Proof-of-concept study.JTCVS open · 2026Article
- Modeling and simulation of blood flow in unhealthy elliptic arteries with computational fluid dynamics approach.PloS one · 2025Article
- Analysis of cervical tracheal characteristics of obstructive sleep apnoea-hypopnoea syndrome patients using ultrasound.Frontiers in medicine · 2025Article
- Modeling Realistic Geometries in Human Intrathoracic Airways.Diagnostics (Basel, Switzerland) · 2024Review
- The effect of including dynamic imaging derived airway wall motion in CFD simulations of respiratory airflow in patients with OSA.Scientific reports · 2024Article
- Comparison of weighting algorithms to mitigate respiratory motion in free-breathing neonatal pulmonary radial UTE-MRI.Biomedical physics & engineering express · 2024Article
- Effects of decongestion on nasal cavity air conditioning efficiency: a CFD cohort study.Scientific reports · 2024Article
- Tracheomalacia Reduces Aerosolized Drug Delivery to the Lung.Journal of aerosol medicine and pulmonary drug delivery · 2024Article
- Influence of catheter thickness on respiratory physiology during less invasive surfactant administration in extremely preterm infants.Frontiers in pediatrics · 2024Article
- Influence of Pulsatility and Inflow Waveforms on Tracheal Airflow Dynamics in Healthy Older Adults.Journal of biomechanical engineering · 2023Article
- A Pediatric Upper Airway Library to Evaluate Interpatient Variability of In Silico Aerosol Deposition.AAPS PharmSciTech · 2023Article
- Predicting tracheal work of breathing in neonates based on radiological and pulmonary measurements.Journal of applied physiology (Bethesda, Md. : 1985) · 2022Article
- Neonates With Tracheomalacia Generate Auto-Positive End-Expiratory Pressure via Glottis Closure.Chest · 2021Article
- A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images.Applied soft computing · 2021Article
- Endotracheal tube size selection in critically ill patients: a 4-year single-center experience in Saudi Arabia.Annals of Saudi medicineArticle
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
rationaleComputational fluid dynamics (CFD) simulations of respiratory airflow can quantify clinically useful information that cannot be obtained directly, such as the work of breathing (WOB), resistance to airflow, and pressure loss. However, patient-specific CFD simulations are often based on medical imaging that does not capture airway motion and thus may not represent true physiology, directly affecting those measurements.
objectivesTo quantify the variation of respiratory airflow metrics obtained from static models of airway anatomy at several respiratory phases, temporally averaged airway anatomies, and dynamic models that incorporate physiological motion.
methodsNeonatal airway images were acquired during free-breathing using 3D high-resolution MRI and reconstructed at several respiratory phases in two healthy subjects and two with airway disease (tracheomalacia). For each subject, five static (end expiration, peak inspiration, end inspiration, peak expiration, averaged) and one dynamic CFD simulations were performed. WOB, airway resistance, and pressure loss across the trachea were obtained for each static simulation and compared with the dynamic simulation results.
resultsLarge differences were found in the airflow variables between the static simulations at various respiratory phases and the dynamic simulation. Depending on the static airway model used, WOB, resistance, and pressure loss varied up to 237%, 200%, and 94% compared to the dynamic simulation respectively.
conclusionsChanges in tracheal size and shape throughout the breathing cycle directly affect respiratory airflow dynamics and breathing effort. Simulations incorporating realistic airway wall dynamics most closely represent airway physiology; if limited to static simulations, the airway geometry must be obtained during the respiratory phase of interest for a given pathology.
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