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PMID: 31792705 Published · ppublish English Clinical Trial Journal Article

Assessing Changes in Airflow and Energy Loss in a Progressive Tracheal Compression Before and After Surgical Correction.

Annals of biomedical engineering ·Vol. 48 ·No. 2 ·2020-02-00 ·Pages 822-833

Xiao Q, Cetto R, Doorly DJ, Bates AJ, Rose JN, McIntyre C, Comerford A, Madani G, Tolley NS, Schroter R

Abstract

The energy needed to drive airflow through the trachea normally constitutes a minor component of the work of breathing. However, with progressive tracheal compression, patient subjective symptoms can include severe breathing difficulties. Many patients suffer multiple respiratory co-morbidities and so it is important to assess compression effects when evaluating the need for surgery. This work describes the use of computational prediction to determine airflow resistance in compressed tracheal geometries reconstructed from a series of CT scans. Using energy flux analysis, the regions that contribute the most to airway resistance during inhalation are identified. The principal such region is where flow emerging from the zone of maximum constriction undergoes breakup and turbulent mixing. Secondary regions are also found below the tongue base and around the glottis, with overall airway resistance scaling nearly quadratically with flow rate. Since the anatomical extent of the imaged airway varied between scans-as commonly occurs with clinical data and when assessing reported differences between research studies-the effect of sub-glottic inflow truncation is considered. Analysis shows truncation alters the location of jet breakup and weakly influences the pattern of pressure recovery. Tests also show that placing a simple artificial glottis in the inflow to a truncated model can replicate patterns of energy loss in more extensive models, suggesting a means to assess sensitivity to domain truncation in tracheal airflow simulations.

Keywords
Airway CFD Airway Resistance Compressed Trachea Flow Energy Loss Inflow Truncation Tracheal Airflow
MeSH Terms
Airway Resistance Computer Simulation Female Humans Male Models, Biological Pulmonary Ventilation Respiratory Mechanics Tomography, X-Ray Computed Trachea/diagnostic imaging,physiopathology,surgery
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Xiao Qiwei
Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
Cetto Raul
Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK. | Department of Otolaryngology and Head and Neck Surgery, Imperial College Healthcare, St. Mary's Hospital, Praed St, London, W2 1NY, UK.
Doorly Denis J ORCID
Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK. [email protected].
Bates Alister J
Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, USA.
Rose Jan N
Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
McIntyre Charlotte
Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK. | Department of Otolaryngology and Head and Neck Surgery, Imperial College Healthcare, St. Mary's Hospital, Praed St, London, W2 1NY, UK.
Comerford Andrew
Department of Aeronautics, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
Madani Gitta
Department of Clinical Radiology, Imperial College Healthcare, St. Mary's Hospital, Praed St, London, W2 1NY, UK.
Tolley Neil S
Department of Otolaryngology and Head and Neck Surgery, Imperial College Healthcare, St. Mary's Hospital, Praed St, London, W2 1NY, UK.
Schroter Robert
Department of Bioengineering, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
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Article Info
Journal
Annals of biomedical engineering
Abbr.
Ann Biomed Eng
ISSN
1573-9686
Published
2020-02-00
Epub
2019-00-02
Pages
822-833
Language
English
Region
United States
NLM ID
0361512
PMCID
PMC6949211
Subset
IM
Grants
Biotechnology and Biological Sciences Research Council · BB/E023444/1 · United Kingdom
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