نتایج جستجو برای: mammographic density

تعداد نتایج: 412308  

2014
Sara Lindström Deborah J. Thompson Andrew D. Paterson Jingmei Li Gretchen L. Gierach Christopher Scott Jennifer Stone Julie A. Douglas Isabel dos-Santos-Silva Pablo Fernandez-Navarro Jajini Verghase Paula Smith Judith Brown Robert Luben Nicholas J. Wareham Ruth J.F. Loos John A. Heit V. Shane Pankratz Aaron Norman Ellen L. Goode Julie M. Cunningham Mariza deAndrade Robert A. Vierkant Kamila Czene Peter A. Fasching Laura Baglietto Melissa C. Southey Graham G. Giles Kaanan P. Shah Heang-Ping Chan Mark A. Helvie Andrew H. Beck Nicholas W. Knoblauch Aditi Hazra David J. Hunter Peter Kraft Marina Pollan Jonine D. Figueroa Fergus J. Couch John L. Hopper Per Hall Douglas F. Easton Norman F. Boyd Celine M. Vachon Rulla M. Tamimi

Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,3...

2013
Jeff Wang Ania Azziz Bo Fan Serghei Malkov Catherine Klifa David Newitt Silaja Yitta Nola Hylton Karla Kerlikowske John A. Shepherd

BACKGROUND Clinical scores of mammographic breast density are highly subjective. Automated technologies for mammography exist to quantify breast density objectively, but the technique that most accurately measures the quantity of breast fibroglandular tissue is not known. PURPOSE To compare the agreement of three automated mammographic techniques for measuring volumetric breast density with a...

2001
Clay Spence Lucas Parra Paul Sajda

We develop a probability model over image spaces and demonstrate its broad utility in mammographic image analysis. The model employs a pyramid representation to factor images across scale and a tree-structured set of hidden variables to capture long-range spatial dependencies. This factoring makes the computation of the density functions local and tractable. The result is a hierarchical mixture...

Journal: :Medical image analysis 2003
Paul Sajda Clay Spence Lucas C. Parra

We develop a probabilistic network model over image spaces and demonstrate its broad utility in mammographic image analysis, particularly with respect to computer-aided diagnosis. The model employs a multi-scale pyramid decomposition to factor images across scale and a network of tree-structured hidden variables to capture long-range spatial dependencies. This factoring makes the computation of...

2003
Lucas Parra

20 We develop a probabilistic network model over image spaces and demonstrate its broad utility in mammographic image analysis, 21 particularly with respect to computer-aided diagnosis. The model employs a multi-scale pyramid decomposition to factor images across 22 scale and a network of tree-structured hidden variables to capture long-range spatial dependencies. This factoring makes the compu...

Journal: :Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2000
C K Chow D Venzon E C Jones A Premkumar J O'Shaughnessy J Zujewski

There are strong data showing that increased breast cancer risk is associated with increased mammographic density. Tamoxifen has been shown to decrease the risk of invasive breast cancer and decrease breast density. We sought to demonstrate and calculate the extent of change in mammographic density in women who have taken tamoxifen for up to 2 years. We evaluated mammograms from 28 high-risk wo...

Journal: :The Journal of clinical endocrinology and metabolism 2009
Susan R Davis Angelica Lindén Hirschberg Leigh K Wagner Imran Lodhi Bo von Schoultz

CONTEXT Greater mammographic density is associated with increased breast cancer risk and reduced diagnostic mammographic sensitivity and may be seen with estrogen/progestin therapy (EPT). The effects of testosterone therapy on mammographic density in postmenopausal women not on EPT are not known. OBJECTIVE Our objective was to compare effects of two doses of the testosterone transdermal patch...

Journal: :Cancer prevention research 2012
D Gareth R Evans Jane Warwick Susan M Astley Paula Stavrinos Sarah Sahin Sarah Ingham Helen McBurney Barbara Eckersley Michelle Harvie Mary Wilson Ursula Beetles Ruth Warren Alan Hufton Jamie C Sergeant William G Newman Iain Buchan Jack Cuzick Anthony Howell

The aim of this study is to determine breast cancer risk at mammographic screening episodes and integrate standard risk factors with mammographic density and genetic data to assess changing the screening interval based on risk and offer women at high risk preventive strategies. We report our experience of assessing breast cancer risk within the U.K. National Health Service Breast Screening Prog...

Journal: :Journal of the National Cancer Institute 2000
M T Mandelson N Oestreicher P L Porter D White C A Finder S H Taplin E White

BACKGROUND Screening mammography is the best method to reduce mortality from breast cancer, yet some breast cancers cannot be detected by mammography. Cancers diagnosed after a negative mammogram are known as interval cancers. This study investigated whether mammographic breast density is related to the risk of interval cancer. METHODS Subjects were selected from women participating in mammog...

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