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Analysis of Upper Airway Flow Dynamics in Robin Sequence Infants Using 4-D Computed Tomography and Computational
Michael Barbour1, Clare Richardson2,3, Mike Bindschadler4
1Department of Mechanical Engineering, University of Washington, 4625 Union Bay PL NE, Seattle, WA, 98105, USA. barbourm@uw.edu.
Annals of Biomedical Engineering
|August 11, 2022
Summary
Robin Sequence (RS) causes upper airway obstruction (UAO). This study used 4D CT and CFD to quantify UAO severity in RS patients, revealing significant variability and informing clinical respiratory support.
Area of Science:
- Craniofacial Medicine
- Biomedical Engineering
- Respiratory Physiology
Background:
- Robin Sequence (RS) is a craniofacial condition leading to potentially fatal upper airway obstruction (UAO).
- Current methods for assessing UAO severity in RS lack quantitative measures, particularly airway resistance.
- Accurate UAO assessment is critical for effective management and diagnosis of RS.
Purpose of the Study:
- To introduce and validate the use of 4-dimensional computed tomography (4D CT) combined with computational fluid dynamics (CFD) for quantitative UAO assessment in RS patients.
- To establish fluid dynamic metrics for evaluating UAO severity and characterizing airflow dynamics in RS.
- To explore the correlation between CFD-derived metrics and the level of clinical respiratory support required by RS patients.
Main Methods:
- Integration of 4D CT imaging with CFD simulations to model airflow in the upper airways of RS patients.
- Analysis of fluid dynamic parameters including breathing resistance, energy loss, and peak velocity.
- Characterization of local airflow dynamics to identify primary sites of obstruction (tongue base vs. larynx).
Main Results:
- Significant intrapopulation variability in UAO severity was observed, with resistance, energy loss, and peak velocity ratios of 40:1, 20:1, and 6:1, respectively.
- Airflow analysis identified distinct obstruction patterns, with tongue base obstructions leading to more severe stenotic jets and higher breathing resistance.
- CFD-derived flow metrics demonstrated a correlation with the clinical respiratory support needs of RS patients.
Conclusions:
- Quantitative airflow metrics derived from CFD offer a novel and powerful approach to assessing UAO severity in Robin Sequence.
- The study highlights substantial variability in UAO characteristics among RS patients, underscoring the need for individualized assessment.
- These findings suggest that CFD analysis can significantly enhance the understanding and management of upper airway obstruction in RS.
