The University of Southampton
University of Southampton Institutional Repository

The relationship between added lung sounds and airway dimensions

The relationship between added lung sounds and airway dimensions
The relationship between added lung sounds and airway dimensions
The aim of this study was to explore potential relationships between added lung sound characteristics measured by Computer Aided Lung Sound Analysis (CALSA) and airway dimensions measured by High resolution Computed Tomography (HRCT). CALSA has been proposed as a new objective measurement to record and analyse lung sounds. However, there is still a lack of evidence as to whether and how added lung sounds relate to the geometry of airways. HRCT is considered to have the highest sensitivity of imaging measurements and is capable of generating three dimensional pictures of airways from which the dimensions may be measured. Twenty-six participants (9 healthy non-smokers, 9 healthy smokers and 8 patients with COPD) were recruited. Lung sound data were recorded using a digital stethoscope. HRCT scans were conducted using a Siemens Sensation 64 CT scanner and the resulting data were analysed using the Pulmonary Workstation 2 software to give airway dimensions. Lungs sounds were characterised in terms of Crackle 2-cycle durations (crackle 2CD), the number of crackles per breathing cycle (NCpB) and lung geometry were characterised in terms of airway diameter, length, branching angle, internal perimeter, wall thickness and percentage of wall area. The analysis showed that there was a significant positive correlation between crackle 2CD and airway wall thickness at generations 3 and 5. Crackle 2CD also significantly correlated with the branching angles at the main bronchus and at generation 3. There was also a significant negative correlation between NCpB and percentage of wall area at generation 2 and airway wall thickness at generation 5. Moreover, NCpB recorded at anterior right region of chest wall was found to predict the percentage of wall area at the right upper bronchus. These initial results suggest NCpB might be useful to predict changes in percentage of wall area caused by the chronic inflammation of the main bronchi, though a larger sample size would be needed to confirm it. This suggests that crackles could potentially be used as a biomarker of COPD.
Mackawan, Surussawadi
320b4f24-ae92-49d0-9807-fdffbbbe7582
Mackawan, Surussawadi
320b4f24-ae92-49d0-9807-fdffbbbe7582
Bruton, Anne
9f8b6076-6558-4d99-b7c8-72b03796ed95
Barney, A.
bc0ee7f7-517a-4154-ab7d-57270de3e815

Mackawan, Surussawadi (2012) The relationship between added lung sounds and airway dimensions. University of Southampton, Faculty of Health Sciences, Doctoral Thesis, 330pp.

Record type: Thesis (Doctoral)

Abstract

The aim of this study was to explore potential relationships between added lung sound characteristics measured by Computer Aided Lung Sound Analysis (CALSA) and airway dimensions measured by High resolution Computed Tomography (HRCT). CALSA has been proposed as a new objective measurement to record and analyse lung sounds. However, there is still a lack of evidence as to whether and how added lung sounds relate to the geometry of airways. HRCT is considered to have the highest sensitivity of imaging measurements and is capable of generating three dimensional pictures of airways from which the dimensions may be measured. Twenty-six participants (9 healthy non-smokers, 9 healthy smokers and 8 patients with COPD) were recruited. Lung sound data were recorded using a digital stethoscope. HRCT scans were conducted using a Siemens Sensation 64 CT scanner and the resulting data were analysed using the Pulmonary Workstation 2 software to give airway dimensions. Lungs sounds were characterised in terms of Crackle 2-cycle durations (crackle 2CD), the number of crackles per breathing cycle (NCpB) and lung geometry were characterised in terms of airway diameter, length, branching angle, internal perimeter, wall thickness and percentage of wall area. The analysis showed that there was a significant positive correlation between crackle 2CD and airway wall thickness at generations 3 and 5. Crackle 2CD also significantly correlated with the branching angles at the main bronchus and at generation 3. There was also a significant negative correlation between NCpB and percentage of wall area at generation 2 and airway wall thickness at generation 5. Moreover, NCpB recorded at anterior right region of chest wall was found to predict the percentage of wall area at the right upper bronchus. These initial results suggest NCpB might be useful to predict changes in percentage of wall area caused by the chronic inflammation of the main bronchi, though a larger sample size would be needed to confirm it. This suggests that crackles could potentially be used as a biomarker of COPD.

Text
Final Thesis.pdf - Other
Download (37MB)

More information

Published date: June 2012
Organisations: University of Southampton, Faculty of Health Sciences

Identifiers

Local EPrints ID: 354119
URI: http://eprints.soton.ac.uk/id/eprint/354119
PURE UUID: 74b273fb-e85b-47fa-a616-a6625b903938
ORCID for Anne Bruton: ORCID iD orcid.org/0000-0002-4550-2536
ORCID for A. Barney: ORCID iD orcid.org/0000-0002-6034-1478

Catalogue record

Date deposited: 08 Jul 2013 11:59
Last modified: 15 Mar 2024 02:59

Export record

Contributors

Author: Surussawadi Mackawan
Thesis advisor: Anne Bruton ORCID iD
Thesis advisor: A. Barney ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×