Literature DB >> 35951208

Analysis of Upper Airway Flow Dynamics in Robin Sequence Infants Using 4-D Computed Tomography and Computational Fluid Dynamics.

Michael Barbour1, Clare Richardson2,3, Mike Bindschadler4, Seth Friedman5, Randall Bly2,3, John P Dahl2,3, Alberto Aliseda6.   

Abstract

Robin Sequence (RS) is a potentially fatal craniofacial condition characterized by undersized jaw, posteriorly displaced tongue, and resultant upper airway obstruction (UAO). Accurate assessment of UAO severity is crucial for management and diagnosis of RS, yet current evaluation modalities have significant limitations and no quantitative measures of airway resistance exist. In this study, we combine 4-dimensional computed tomography and computational fluid dynamics (CFD) to assess, for the first time, UAO severity using fluid dynamic metrics in RS patients. Dramatic intrapopulation differences are found, with the ratio between most and least severe patients in breathing resistance, energy loss, and peak velocity equal to 40:1, 20:1, and 6:1, respectively. Analysis of local airflow dynamics characterized patients as presenting with primary obstructions either at the location of the tongue base, or at the larynx, with tongue base obstructions resulting in a more energetic stenotic jet and greater breathing resistance. Finally, CFD-derived flow metrics are found to correlate with the level of clinical respiratory support. Our results highlight the large intrapopulation variability, both in quantitative metrics of UAO severity (resistance, energy loss, velocity) and in the location and intensity of stenotic jets for RS patients. These results suggest that computed airflow metrics may significantly improve our understanding of UAO and its management in RS.
© 2022. The Author(s) under exclusive licence to Biomedical Engineering Society.

Entities:  

Keywords:  4D-CT; CFD; Respiratory flow; Upper airway obstruction

Year:  2022        PMID: 35951208     DOI: 10.1007/s10439-022-03036-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   4.219


  1 in total

1.  Accuracy and Reliability of 4D-CT and Flexible Laryngoscopy in Upper Airway Evaluation in Robin Sequence.

Authors:  Austin S Lam; Michael D Bindschadler; Kelly N Evans; Seth D Friedman; Matthew S Blessing; Randall Bly; Michael L Cunningham; Mark A Egbert; Russell E Ettinger; Emily R Gallagher; Richard A Hopper; Kaalan Johnson; Jonathan A Perkins; Erin K Romberg; Kathleen C Y Sie; Srinivas M Susarla; Carlton J Zdanski; Xing Wang; Jeffrey P Otjen; Francisco A Perez; John P Dahl
Journal:  Otolaryngol Head Neck Surg       Date:  2021-07-13       Impact factor: 3.497

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.