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Grant: Canadian Lung Association Research Studentship

Toronto Metropolitan University

$13,667.00

Inspiration-expiration CT texture-based delta radiomics: a new biomarker associated with COPD symptoms?

EF 2022-23

Résumé
No prior studies have investigated texture-based delta radiomics analysis in inspiration-expiration images in COPD. Chronic Obstructive Lung Disease (COPD) is the third leading cause of death worldwide, affecting both developed and developing countries. There is no cure for this disease, making early intervention key for improved patient management. Our project aims to determine if measurements that represent the texture of inspiration-expiration computed tomography (CT) images are better at detecting lung disease on CT images compared to more complex established mechanical lung stress measures. Registration of CT images takes two images and transforms them into the same coordinate system. Currently, a measurement called the Jacobian uses image registration from inspiration and expiration images to represent biomechanical lung stress (how easy it is to stretch and compress the lung tissue). However, image registration is a time consuming and difficult process. Radiomics is a biomarker that represents the texture of an image (if it is smooth or bumpy) that does not need image registration. We can use radiomics extracted from inspiration and expiration images and subtract the values to obtain a texture-based delta radiomics measurement. We will compare the Jacobian and delta radiomics measurements to determine which one is better at detecting structural changes on CT images. The findings in this study may demonstrate that texture-based delta radiomics derived from inspiration-expiration images can provide additional information related to local lung structural changes and aid in the understanding of the complex pathophysiology and heterogeneity of COPD. This knowledge is important to our understanding of COPD and may help guide the development of new biomarkers that can be translated to a clinical setting in order to enable earlier disease diagnosis and treatment management, and ultimately improve health outcomes for individuals at risk of and living with lung diseases in Canada, and worldwide.
Programme
Canadian Lung Association Research Studentship
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
476983
Name
Koo Meghan
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Partnername
Canadian Lung Association (Ottawa)
Prcname2
Special Cases
Projecttitle
Inspiration-expiration CT texture-based delta radiomics: a new biomarker associated with COPD symptoms?
Programtype2
Studentship Programs
Orgnameinp2
Toronto Metropolitan University
Cihramount2
$13,667
Cihrequipment2
$0
Programname2
Canadian Lung Association Research Studentship
Keyworddelim
Computed Tomography; Copd; Machine Learning; Quantitative Imaging; Radiomics
Abstract
No prior studies have investigated texture-based delta radiomics analysis in inspiration-expiration images in COPD. Chronic Obstructive Lung Disease (COPD) is the third leading cause of death worldwide, affecting both developed and developing countries. There is no cure for this disease, making early intervention key for improved patient management. Our project aims to determine if measurements that represent the texture of inspiration-expiration computed tomography (CT) images are better at detecting lung disease on CT images compared to more complex established mechanical lung stress measures. Registration of CT images takes two images and transforms them into the same coordinate system. Currently, a measurement called the Jacobian uses image registration from inspiration and expiration images to represent biomechanical lung stress (how easy it is to stretch and compress the lung tissue). However, image registration is a time consuming and difficult process. Radiomics is a biomarker that represents the texture of an image (if it is smooth or bumpy) that does not need image registration. We can use radiomics extracted from inspiration and expiration images and subtract the values to obtain a texture-based delta radiomics measurement. We will compare the Jacobian and delta radiomics measurements to determine which one is better at detecting structural changes on CT images. The findings in this study may demonstrate that texture-based delta radiomics derived from inspiration-expiration images can provide additional information related to local lung structural changes and aid in the understanding of the complex pathophysiology and heterogeneity of COPD. This knowledge is important to our understanding of COPD and may help guide the development of new biomarkers that can be translated to a clinical setting in order to enable earlier disease diagnosis and treatment management, and ultimately improve health outcomes for individuals at risk of and living with lung diseases in Canada, and worldwide.
Competitiondate
202210
Approvedterm2
1 yr 0 mth
Pinamesdelim
Koo, Meghan
Approvedterm
1 an 0 mois
Cihrcontribution2
Inst of Circ &Respiratory Hlth~ $13,667~ $0~