A computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstriction
Many types of lung disease lead to constriction of airways within the conducting zone, causing increases in airway resistance and ventilation heterogeneity (VH). The multiple-breath washout (MBW) and forced oscillation technique (FOT) are two clinical measures of small airway bronchoconstriction. Wi...
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Journal article |
| Gepubliceerd in: |
Elsevier
2017
|
| _version_ | 1826296453592514560 |
|---|---|
| author | Foy, B Kay, D |
| author_facet | Foy, B Kay, D |
| author_sort | Foy, B |
| collection | OXFORD |
| description | Many types of lung disease lead to constriction of airways within the conducting zone, causing increases in airway resistance and ventilation heterogeneity (VH). The multiple-breath washout (MBW) and forced oscillation technique (FOT) are two clinical measures of small airway bronchoconstriction. Within this study computational modelling of the MBW and FOT was applied to the analysis of thousands of bronchoconstriction scenarios in the conducting zone of the lungs. The simulations show that MBW indices primarily respond to the severity of constriction, while FOT indices may be able to distinguish between constrictions at differing airway depths. Following this, we show the potential utility in the joint interpretation of indices from the two tests, providing motivations for future clinical investigations. |
| first_indexed | 2024-03-07T04:16:34Z |
| format | Journal article |
| id | oxford-uuid:c99d2d0f-b59c-4ad8-a97b-619f9c65c805 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T04:16:34Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:c99d2d0f-b59c-4ad8-a97b-619f9c65c8052022-03-27T07:00:33ZA computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstrictionJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c99d2d0f-b59c-4ad8-a97b-619f9c65c805Symplectic Elements at OxfordElsevier2017Foy, BKay, DMany types of lung disease lead to constriction of airways within the conducting zone, causing increases in airway resistance and ventilation heterogeneity (VH). The multiple-breath washout (MBW) and forced oscillation technique (FOT) are two clinical measures of small airway bronchoconstriction. Within this study computational modelling of the MBW and FOT was applied to the analysis of thousands of bronchoconstriction scenarios in the conducting zone of the lungs. The simulations show that MBW indices primarily respond to the severity of constriction, while FOT indices may be able to distinguish between constrictions at differing airway depths. Following this, we show the potential utility in the joint interpretation of indices from the two tests, providing motivations for future clinical investigations. |
| spellingShingle | Foy, B Kay, D A computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstriction |
| title | A computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstriction |
| title_full | A computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstriction |
| title_fullStr | A computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstriction |
| title_full_unstemmed | A computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstriction |
| title_short | A computational comparison of the multiple-breath washout and forced oscillation technique as markers of bronchoconstriction |
| title_sort | computational comparison of the multiple breath washout and forced oscillation technique as markers of bronchoconstriction |
| work_keys_str_mv | AT foyb acomputationalcomparisonofthemultiplebreathwashoutandforcedoscillationtechniqueasmarkersofbronchoconstriction AT kayd acomputationalcomparisonofthemultiplebreathwashoutandforcedoscillationtechniqueasmarkersofbronchoconstriction AT foyb computationalcomparisonofthemultiplebreathwashoutandforcedoscillationtechniqueasmarkersofbronchoconstriction AT kayd computationalcomparisonofthemultiplebreathwashoutandforcedoscillationtechniqueasmarkersofbronchoconstriction |