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Dissertations / Theses on the topic 'Volumetric mammographic breast density'

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1

Assi, Valentina. "Clinical and epidemiological issues and applications of mammographic density." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/7855.

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Mammographic density, the amount of radiodense tissue on a mammogram, is a strong risk factor for breast cancer, with properties that could be an asset in screening and prevention programmes. Its use in risk prediction contexts is currently limited, however, mainly due to di culties in measuring and interpreting density. This research investigates rstly, the properties of density as an independent marker of breast cancer risk and secondly, how density should be measured. The rst question was addressed by analysing data from a chemoprevention trial, a trial of hormonal treatment, and a cohort s
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2

Lundström, Eva. "Mammographic breast density and postmenopausal hormone therapy /." Stockholm, 2005. http://diss.kib.ki.se/2005/91-7140-581-X/.

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3

Ironside, Alastair J. "Molecular mediators of mammographic density." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/25898.

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Mammographic density (MD), created predominantly by increased stromal tissue, is a major breast cancer risk factor, though little is known about the biological mechanisms mediating it. Tamoxifen prevents breast cancer in a subset of high risk women via mechanisms that appear dependent on reduction of MD. Animal models suggest tamoxifen remodels the mammary stroma to a tumour-inhibitory phenotype. This study aims to analyse the effect of tamoxifen on human breast fibroblast function and identify pro-tumourigenic pathways contributing to density-associated risk. Methods Primary human breast fibr
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4

Björklund, Tomas. "Automatic evaluation of breast density in mammographic images." Thesis, KTH, Skolan för teknik och hälsa (STH), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103788.

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The goal of this master thesis is to develop a computerized method for automatic estimation of the mammographic density of mammographic images from 5 different types of mammography units.   Mammographic density is a measurement of the amount of fibroglandular tissue in a breast. This is the single most attributable risk factor for breast cancer; an accurate measurement of the mammographic density can increase the accuracy of cancer prediction in mammography. Today it is commonly estimated through visual inspection by a radiologist, which is subjective and results in inter-reader variation.   T
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5

Li, Tong. "Characteristics of Mammographic Density for Women in China." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17368.

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Objectives: The purpose of this study is to understand the characteristics of mammographic density for women in China. Methods: The potential factors of density were examined using two approaches - one qualitative (i.e. BIRADS classification) and one quantitative measurement (i.e. AutoDensity algorithm). The BIRADS study (with 4867 women) used Spearman tests and Mann-Whitney/Kruskal-Wallis tests to examine the associations between density and variables. Logistic regression was then performed to produce odds ratio. The AutoDensity study recruited 1071 (84 with and 987 without breast cancer) w
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6

Yaghjyan, Lusine. "Determinants of Mammographic Breast Density in Different Subsets of Women." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1250096767.

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7

Wegrzyn, Lani. "Circadian Disruption, Mammographic Density and Risk of Breast Cancer." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:25757888.

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Humans are synchronized to the 24-hour day by the light-dark cycle of the environment. Through alteration of the suprachiasmatic nucleus (SCN), the brain’s circadian pacemaker, exposure to light at night (LAN) influences the functions in the body that operate with circadian regularity, including the endocrine, immune and digestive systems. The SCN also signals to the pineal gland to modulate production of melatonin, a hormone that has established antimitotic and antiproliferative properties, and has been shown to regulate estrogen and other hormones important in breast cancer etiology. Peopl
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8

Varghese, Jajini Susan. "Genetic and life-style determinants of mammographic density." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610197.

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9

Pawluczyk, Olga. "Volumetric estimation of breast density for breast cancer risk prediction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58694.pdf.

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10

Li, Yanpeng. "Mammographic Density Assessment: Inter-Reader Variability And Novel Phantom Quantification." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/13820.

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Aims: This thesis aims to investigate the level of consistency in radiologists’ mammographic density (MD) reporting and to investigate the reasons that lead to reporting variability, and then to develop novel, affordable phantom images to validate imaging parameters linked with MD assessment. Methods: Project one: 17 radiologists were asked to report the BI-RADS density category and to manually segment the areas they regarded as MD for 40 clinical images. The consistency in the BI-RADS density reporting was quantified, and the impact of MD segmentation was investigated. For radiologists’ MD s
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11

Demchig, Delgermaa. "First steps in optimizing breast screening in Mongolia: Understanding radiologists’ performance in reading mammograms and mammographic breast density." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18962.

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Advanced diagnoses of breast cancer have become a serious public health issue in Mongolia. Whilst mammography has been proven to be an effective screening approach for breast cancer and well established amongst developed countries, such program has not been introduced in Mongolia. In addition in Mongolia, a lack of research around breast cancer continues to exist. The purpose of this thesis is to understand mammographic diagnostic accuracy and mammographic breast density (MD) in Mongolia, both of which are important considerations, which will inform a future national screening program. To addr
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12

Al, Mousa Dana Samir. "The effect of mammographic breast density in the digital imaging era." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/12720.

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Objectives: To understand the impact of mammographic density on radiologic diagnostic efficacy and radiologist behaviour in the digital imaging era. Methods: This work consists of three studies: The first was a pilot study to investigate the impact of density on observer performance in a set of 55 digital mammograms classified into low- or high- mammographic density. Cases were read by 22 radiologists. The second study included a set of 150 digital mammograms classified into low- or high- mammographic density and examined by 14 radiologists, taking into account radiologists’ level of mammograp
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13

Conner, Peter. "Hormone therapy and the breast : aspects on proliferation, apoptosis and mammographic density /." Stockholm : Karolinska institutet, 2004. http://diss.kib.ki.se/2004/91-7349-918-8/.

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14

TAPIA, KRISCIA ANGELES. "Northern Territory Indigenous and Non-Indigenous women: Mammographic density profiles and breast screening characteristics." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21989.

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Background: Indigenous Australians have lower breast cancer rates but higher mortality rates compared with other women. With evidence of ethnic variations in MD globally, investigating MD in Indigenous women may provide insight into optimising diagnosis and care for an underserved population. Aims: To investigate the MD and BreastScreen attendance of Indigenous and non-Indigenous women in the NT and assess the diagnostic efficacy of radiologists in cases with varying breast densities. Methods: Indigenous status, age, postcode, HRT, family history of breast cancer, symptoms and language spoken
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15

Albeshan, Salman Mohammed A. "Breast cancer in the Arabian gulf countries: Defining mammographic density presentation and optimising diagnosis of breast cancer." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20789.

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Aims: 1) to report participation rates in breast self-examination (BSE), clinical breast examination (CBE) and mammography among women living in Ras Al Khaimah (RAK) and to examine their beliefs, attitudes and knowledge regarding breast cancer and early detection practices, 2) to report mammographic density patterns and their associations with demographic and reproductive factors in RAK and Riyadh. Methods: In the first study, 102 women were interviewed and a total of 366 and 792 mammographs were collected for the second and third studies, respectively. The first and second studies were carr
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16

McCormack, Valerie Ann. "Mammographic density as a marker of breast cancer risk : multi-ethnic longitudinal study." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498290.

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17

Pinto, Pereira Snehal Maureen. "Longitudinal study of mammographic breast density in British women natural history and relationship with breast cancer risk." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536874.

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18

Kanbayti, Ibrahem Hussain. "Breast composition: relationship with tumour characteristics and treatment outcomes." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/26805.

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The thesis examined the association between breast cancer (BC) characteristics and image-based phenotypes such as mammographic density (MD) and radiomic features. It also examined the prognostic utility of MD in BC patients and changes in MD over time following BC treatments. MD was measured using approaches such as BI-RADS4th edition, LIBRA and AutoDensity at different stages of the thesis. A MATLAB R2018a software package was used to extract 33 global radiomic features from the ipsilateral breast mammograms. BC was found to arise mostly from dense tissues, with cancers in dense regions demo
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19

Damases, Christine. "Causal factors and potential clinical implications of variation in mammographic density assessment." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16141.

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The thesis explores various measures of MBD assessment in digital mammography (DM) and assesses inter-­‐reader variability using BI-­‐RADS® and RANZCR scales based on four studies. Methods: In studies 1 and 2, 40 images from 20 US women—acquired one year apart—were processed using Volpara®densityTM software. Observers (20 experts) assessed the images using BI-­‐RADS®. Study 1 used spearman’s correlation (ρ) to examine relationships between the systems for BI-­‐RADS®, VDG, and AvBD%. Study 2 examined inter-­‐observer agreement using BI-­‐RADS® 4-­‐point and binary scales. In study 3, 26 Austral
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20

Mizukoshi, Miwa Mia. "Mammography for Japanese women living in Australia: are current breast screening targets appropriate?" Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23245.

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Introduction: Breast cancer is one of the most common types of cancer among women globally and screening by mammography plays a crucial role in detecting cancer. However, screening target ages may differ between countries. For example, the target group is 50-74 years in Australia and 40+ years in Japan, reflecting differences in age-specific incidence rates (ASIR). Breast cancer risk is related to the volume of mammographic breast density (MBD), which has been found to differ among ethnic groups, hence impacting on national screening policies. The thesis is aimed to investigate whether Japanes
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21

Reye, Gina. "Investigating the contribution of extracellular matrix to mammary cell behaviour in association with mammographic density." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/211468/1/Gina_Reye_Thesis.pdf.

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This thesis explores the direct contribution of extracellular matrix (ECM) and its mediated stiffness to breast cancer cell migration, invasion, and progression. A novel ex vivo breast tissue model was developed by the application of two established decellularization techniques, to predict cellular adhesion and gene expression fluctuations of breast cancer cells bound to high and low mammographically dense tissue. Results obtained within this thesis provide further insight as to mechanotransducive effects of the ECM to mammary cell behaviour within the context of mammographic density, thus con
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22

Tortajada, Giménez Meritxell. "Case-level detection of mammographic masses." Doctoral thesis, Universitat de Girona, 2017. http://hdl.handle.net/10803/620783.

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This thesis is focused on the automatic detection of masses in FFDM images by using case-level information which includes bilateral, temporal and/or ipsilateral information. As a first step, FFDM images are preprocessed to improve image quality. A novel enhancement method is applied to compensate the thickness reduction in peripheral edges of the breast. Following, B-Splines image registration with Affine initialisation is used to obtain bilateral and temporal information that is incorporated in the detection stage. Finally, CC/MLO correspondence approach based on using curved epipolar lines i
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23

Steude, Jana Sofia [Verfasser]. "Mammographic breast density and hormonal, proliferative and stromal histopathologic markers in benign and malignant tissue of different ethnicities / Jana Sofia Steude." Kiel : Universitätsbibliothek Kiel, 2012. http://d-nb.info/1023681331/34.

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24

Tse, Tek Lun Jason. "Toward patient-specific dosimetry in digital breast tomosynthesis." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29880.

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Breast dosimetry is crucial in assessing the radiation risk for X-ray-based breast imaging including full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT). While the breast dose from each FFDM or DBT image is known to be small, the repeated imaging from cancer screening is likely to result in a measurable excess risk for developing radiation-induced breast cancer in the women’s lifetime. For FFDM and DBT, breast dose is measured as the mean absorbed dose to the fibro-glandular tissues, known as the mean glandular dose (MGD). MGD is estimated with a computation phantom
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25

Hallberg, Gunilla. "Effects of Endogenous and Exogenous Hormones on the Female Breast : With Special Reference to the Expression of Proteoglycans." Doctoral thesis, Uppsala universitet, Institutionen för kvinnors och barns hälsa, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-147793.

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This thesis aims to study the effects of endogenous and exogenous hormones and mammographic breast density (BD) on cellular markers in non-cancerous female breast tissue. Women on the waiting list for breast reduction plastic surgery were recruited (n = 79), and randomized to 2 months of hormone therapy or no therapy before surgery. The women had a mammogram and a needle biopsy 2 months before surgery and tissue samples were obtained at the operation. In premenopausal women, estrogen receptor (ER)α levels were associated with age (p = 0.0002), were similar in the follicular and luteal phases
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26

Jones, Caitlin. "Stromal PTEN Expression Regulates Extracellular Matrix Deposition and Organization in the Mammary Gland." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1585750384613682.

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27

Byström, Sanna. "Affinity assays for profiling disease-associated proteins in human plasma." Doctoral thesis, KTH, Proteomik och nanobioteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202616.

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Affinity-based proteomics offers opportunities for the discovery and validation of disease-associated proteins in human body fluids. This thesis describes the use of antibody-based immunoassays for multiplexed analysis of proteins in human plasma, serum and cerebrospinal fluid (CSF). This high-throughput method was applied with the objective to identify proteins associated to clinical variables. The main work in this thesis was conducted within the diseases of multiple sclerosis and malignant melanoma, as well as mammographic density, a risk factor for breast cancer. The suspension bead array
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28

Yin, Liang-Chun, and 尹亮鈞. "Volumetric Breast Density Analysis for Digital Mammograms." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/20314332175198640315.

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碩士<br>臺灣大學<br>資訊工程學研究所<br>98<br>Breast cancer is one of the most common malignancies in women and it continues to be a major cause of death among women worldwide. Several studies have shown that the women with dense breasts are at higher risk than the women whose breasts are less dense. Hence, breast density has to be accepted as a clinically highly significant predictor of breast cancer risk. Most studies of breast density are performed on the mammographic images. Because the two-dimensional (2-D) mammographic density shows large variability, the three-dimension (3-D) breast magnetic resonanc
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29

Ghadge, Amita Gautam. "The developmental origins of mammographic density and breast cancer risk." Thesis, 2021. https://hdl.handle.net/2440/134208.

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Mammographic density is one of the most significant risk factors for breast cancer. Breast tissue with high mammographic density is characterised by increased abundance of fibroglandular tissue and reduced abundance of adipose tissue compared to breasts of low density. Mammographic density is a consequence of cellular and molecular events that occur during adolescent breast development. Epidemiological studies show that increased body mass index in adolescence is associated with low mammographic density as an adult and reduced lifetime risk of breast cancer. This suggests that adiposity during
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30

Alonzo-Proulx, Olivier. "Estimation of Volumetric Breast Density from Digital Mammograms." Thesis, 2014. http://hdl.handle.net/1807/65632.

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Mammographic breast density (MBD) is a strong risk factor for developing breast cancer. MBD is typically estimated by manually selecting the area occupied by the dense tissue on a mammogram. There is interest in measuring the volume of dense tissue, or volumetric breast density (VBD), as it could potentially be a stronger risk factor. This dissertation presents and validates an algorithm to measure the VBD from digital mammograms. The algorithm is based on an empirical calibration of the mammography system, supplemented by physical modeling of x-ray imaging that includes the effects of beam po
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31

Odefrey, Fabrice. "Genetic determinants of mammographic density as a risk factor for breast cancer." 2010. http://repository.unimelb.edu.au/10187/7076.

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Background: Mammographic density (MD) for age and BMI is a strong risk factor (up to a 6 fold increase across extreme quantiles) for breast cancer. More than 60% of MD variation is estimated to be due to heritable (genetic) factors. Taking two different approaches, this work aimed to determine some of these genetic factors. The recently identified common genetic variants associated with small gradients in breast cancer risk and candidate common genetic variants identified using a genome wide association study (GWAS) of MD extremes were tested for an association with MD.<br>Methods: Germline DN
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32

Jobling, Judith Marie. "Mammographic (breast) density as a potential biomarker for endocrine trial treatment efficacy in breast cancer prevention." Thesis, 2018. http://hdl.handle.net/1959.13/1386317.

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Research Doctorate - Doctor of Philosophy (PhD)<br>Mammographic (breast) density is comprised of the glandular and connective tissues of the breast which appear dense (white) on mammograms, x-rays of the breast. Reductions in both mammographic density and breast cancer risk are associated with estrogen lowering therapies (endocrine treatments) such as tamoxifen and the aromatase inhibitors. The Primary Aim of this thesis was to compare the longitudinal mammographic density response in women at high (2-fold) risk of breast cancer treated with the aromatase inhibitor anastrozole for breast cance
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33

Dougherty, Daniella. "Improving Breast Health: The Use of Hormonal Combinations to Reduce Mammographic Breast Density and the Utility of Shear Wave Elastography as a Biomarker of the Effects of these Interventions." Thesis, 2020. http://hdl.handle.net/2440/129092.

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Breast cancer is a major health concern in both developed and developing countries. Although there are many factors that can increase one’s risk of breast cancer; mammographic breast density is labelled as the greatest, modifiable risk factor of breast cancer. So much so, it has been used as a surrogate endpoint in breast cancer intervention trials. Mammographic breast density does have its flaws, especially when being used to monitor therapeutic interventions used to reduce breast cancer risk in clinical practice or clinical trials. To name a few, mammographic breast density responds to inter
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34

Fehringer, Gordon Markus. "Genetic Variation at the Insulin-like Growth Factor 1 Gene and Association with Breast Cancer, Breast Density and Anthropometric Measures." Thesis, 2008. http://hdl.handle.net/1807/11108.

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Background and objectives Evidence suggests that circulating IGF-I levels increase mammographic density (a breast cancer risk factor) and breast cancer risk in premenopausal women. The objective of this thesis was to examine the association of genetic variation at the IGF1 gene with IGF-I concentration, mammographic density, breast cancer risk, and related anthropometric measures in premenopausal women. Methods Three IGF1 CA repeat polymorphisms (at the 5′ and 3′ ends, and in intron 2) were genotyped. A cross-sectional design was used to investigate their associations with IGF-I levels, mam
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35

Van, Uytven Eric Peter. "3D electron density imaging using single scattered X rays with application to breast CT and mammographic screening." 2007. http://hdl.handle.net/1993/20978.

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36

Walker, Melanie. "Vitamin D and mammographic density in postmenopausal women: A cohort study nested within a chemoprevention trial." Thesis, 2014. http://hdl.handle.net/1974/8673.

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Background: Vitamin D may be important in the causal pathway to breast cancer (BC) by influencing mammographic breast density (MD). However, previous study results in postmenopausal women are inconsistent. Study objectives were to prospectively examine the relationship between biomarkers of vitamin D (25-OH-D) and percent MD in postmenopausal women at northern latitudes. Potential effect modification by exemestane therapy, calcium or genetic polymorphisms in the vitamin D pathway was also examined. Methods: This study evaluated a sub-cohort of postmenopausal women at elevated BC risk who part
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37

(9824918), Ruth Pape. "Mammographic parenchymal patterns of New South Wales north coast Aboriginal and Torres Strait Islander women." Thesis, 2014. https://figshare.com/articles/thesis/Mammographic_parenchymal_patterns_of_New_South_Wales_north_coast_Aboriginal_and_Torres_Strait_Islander_women/13436219.

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The aim of this thesis was to document the distribution of mammographic parenchymal patterns (MPPs) for Australian Aboriginal and Torres Strait Islander women attending BreastScreen New South Wales North Coast (BSNSWNC); to profile breast cancer risk as it relates to breast density; and to explore the correlations among MPPs, age and breast length as described by the posterior nipple line (PNL). The PNL criterion is defined as a reference line drawn from the nipple at right angles to the anterior aspect of the pectoral muscle contour or to the back of the image whichever comes first (Spuur et
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38

Martin, Lisa Jane. "Menopause and breast cancer risk : the influence of dietary fat reduction and breast cancer risk factors on timing of menopause and change in mammographic density." 2005. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=371009&T=F.

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39

Hong, Chi-Chen. "Influence of genetic polymorphisms in P450 C17[alpha](T27C), catechol-O-methyltransferase (VAL158MET), and activity level of cytochrome P450 1A2 on mammographic density levels and other risk factors for breast cancer." 2004. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=80328&T=F.

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