Characterisation of Chronic Obstructive Pulmonary Disease Using Advanced Ventilation Imaging

Jeagal, Edward

Characterisation of Chronic Obstructive Pulmonary Disease Using Advanced Ventilation Imaging

Jeagal, Edward

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Publication Type:: Thesis
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Jeagal, Edward
dc.date.accessioned	2026-11-04T04:23:15Z
dc.date.available	2026-11-04T04:23:15Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/197300
dc.description	University of Technology Sydney. Faculty of Science.	en_US.UTF-8
dc.description.abstract	Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease. Conventional markers of disease severity such as spirometric parameters and demographics struggle to adequately characterise the disease due to their insensitivity. There have been efforts at COPD phenotyping by utilising complementary lung function tests and imaging techniques. Ventilation single photon computed tomography (VSPECT) may be utilised to quantitatively analyse ventilation defects. Qualitative VSPECT studies have long noted there to be poorer ventilation on patients with more severe disease. Due to advancements in imaging technology and analysis software, quantitative imaging analysis is more accessible than ever. Unfortunately, quantitative VSPECT has seldom been used to investigate COPD and available analysis techniques remain unvalidated. This thesis aims to assess and validate various analysis methods for quantitative VSPECT and investigate the relationships between quantitative VSPECT parameters and various lung function measurements in COPD patients, at baseline, post-bronchodilator, and post-methacholine.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/197300/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Edward Jeagal
dc.rights	au.edu.uts.lib/cph
dc.title	Characterisation of Chronic Obstructive Pulmonary Disease Using Advanced Ventilation Imaging	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease. Conventional markers of disease severity such as spirometric parameters and demographics struggle to adequately characterise the disease due to their insensitivity. There have been efforts at COPD phenotyping by utilising complementary lung function tests and imaging techniques. Ventilation single photon computed tomography (VSPECT) may be utilised to quantitatively analyse ventilation defects. Qualitative VSPECT studies have long noted there to be poorer ventilation on patients with more severe disease. Due to advancements in imaging technology and analysis software, quantitative imaging analysis is more accessible than ever. Unfortunately, quantitative VSPECT has seldom been used to investigate COPD and available analysis techniques remain unvalidated. This thesis aims to assess and validate various analysis methods for quantitative VSPECT and investigate the relationships between quantitative VSPECT parameters and various lung function measurements in COPD patients, at baseline, post-bronchodilator, and post-methacholine.

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http://hdl.handle.net/10453/197300