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Clinical application of forced oscillation technique (FOT) in early detection of airway changes in smokers


Bhattarai, P and Myers, S and Chia, C and Weber, HC and Young, S and Williams, AD and Sohal, SS, Clinical application of forced oscillation technique (FOT) in early detection of airway changes in smokers, Journal of Clinical Medicine, 9 pp. 1-12. ISSN 2077-0383 (2020) [Refereed Article]


Copyright Statement

Copyright 2020 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3390/jcm9092778


The forced oscillation technique (FOT) is a non-invasive method to assess airway function by emitting oscillatory signals into the respiratory tract during tidal ventilation. This opinion piece discusses the current use, trialled modification and future directions in utilizing FOT as a novel diagnostic tool for early detection of small airway changes in smokers. The published evidence to date has shown that FOT parameters could be a sensitive diagnostic tool to detect early respiratory changes in smokers. Multiple frequencies and the frequency dependence of resistance and reactance can provide the most valuable and early information regarding smoking induced changes in airways. Considering its non-invasiveness, lower level of discomfort to patients than spirometry, feasibility, and cost effectiveness, it could be the first-choice diagnostic technique for detection of early respiratory changes in smokers. The finding of FOT could further be supported and correlated with inflammatory markers.

Item Details

Item Type:Refereed Article
Keywords:COPD, small airways, smoking, vaping, FOT, forced oscillation technique
Research Division:Biomedical and Clinical Sciences
Research Group:Cardiovascular medicine and haematology
Research Field:Respiratory diseases
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Bhattarai, P (Mr Prem Bhattarai)
UTAS Author:Myers, S (Dr Stephen Myers)
UTAS Author:Weber, HC (Associate Professor Heinrich Weber)
UTAS Author:Williams, AD (Associate Professor Andrew Williams)
UTAS Author:Sohal, SS (Dr Sukhwinder Sohal)
ID Code:141208
Year Published:2020
Web of Science® Times Cited:12
Deposited By:Health Sciences
Deposited On:2020-10-04
Last Modified:2022-08-25
Downloads:26 View Download Statistics

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