UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

Developing measures of muscle health in women diagnosed with breast cancer and in a healthy, young adult reference cohort

dc.contributor.authorAvrutin, Egor
dc.date.accessioned2021-02-12T14:43:27Z
dc.date.available2022-02-13T05:50:07Z
dc.date.issued2021-02-12
dc.date.submitted2021-01-27
dc.description.abstractSkeletal muscle health is an important predictor of survival, treatment toxicity, and physical function in cancer patients and survivors. While accelerated rates of muscle wasting are often observed in patients with advanced cancer, the links between lower than optimal muscle mass and adverse outcomes have been reported across diverse cancer types and stages. With improvements in detection strategies and treatment, the 5-year survival rate in breast cancer patients is relatively favorable. With detrimental body composition changes that occur during treatment and extend into survivorship, mitigating derangements in muscle health may help improve quality of life, mobility and metabolic outcomes. For this purpose, it is important to not only understand the alterations in muscle characteristics that occur throughout the breast cancer trajectory, but also potential links between muscle features such as size, composition and architecture with respect to muscle strength and function. Computed Tomography (CT) and Dual-energy X-ray Absorptiometry (DXA) are two tools commonly used to study muscle mass or muscle size. DXA assesses lean mass at the whole body or regional level and offers an opportunity to evaluate functionally relevant muscle groups. The first research study of this thesis examined DXA-based body composition profiles of breast cancer patients with lower that normal muscle mass, along with common strategies proposed to help adjust for differences in body size, in relation to muscle strength. The focus of studies 2 and 3 is on use of ultrasound-based imaging methods for evaluating skeletal muscle size, composition and architecture features in breast cancer patients and in a healthy, young adult reference cohort. Ultrasound is a portable, relatively inexpensive and accessible modality that may evaluate muscle size, composition and architecture, this modality has not been used for body composition analysis in cancer patients to date. Overall, finding of the studies in this thesis highlight several areas that warrant further method development both for DXA-based lean tissue mass and ultrasound-based muscle features, in order to help the assessment of muscle size, composition, architecture and strength in breast cancer patients in- and post-treatment.en
dc.identifier.urihttp://hdl.handle.net/10012/16805
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterlooen
dc.subjectbody composition analysisen
dc.subjectmuscle massen
dc.subjectmuscle strengthen
dc.subjectbreast canceren
dc.subjectultrasound imagingen
dc.subjectmuscle compositionen
dc.subjectadiposityen
dc.titleDeveloping measures of muscle health in women diagnosed with breast cancer and in a healthy, young adult reference cohorten
dc.typeDoctoral Thesisen
uws-etd.degreeDoctor of Philosophyen
uws-etd.degree.departmentKinesiologyen
uws-etd.degree.disciplineKinesiologyen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.embargo.terms1 yearen
uws.contributor.advisorMourtzakis, Marina
uws.contributor.affiliation1Faculty of Applied Health Sciencesen
uws.peerReviewStatusUnrevieweden
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Avrutin_Egor.pdf
Size:
626.51 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.4 KB
Format:
Item-specific license agreed upon to submission
Description: