4 edition of Volumetric estimation of breast density for breast cancer risk prediction found in the catalog.
Volumetric estimation of breast density for breast cancer risk prediction
Thesis (M.Sc.) -- University of Toronto, 2001.
|Series||Canadian theses = -- Thèses canadiennes|
|The Physical Object|
|Pagination||2 microfiches : negative. --|
The female breast consists of fibroglandular (dense) and fat (nondense) tissue. It is known that breast density, measured as either the percentage or absolute amount of fibroglandular tissue in the breast, is a strong breast cancer risk factor [1,2,3].Besides this, high breast density is also known to hinder the detection of tumors during mammographic Cited by: The study was presented during the San Antonio Breast Cancer Symposium. The findings suggest that including breast density as part of risk models for breast cancer could help support the development of personalised risk models for women that could recommend how often a woman should have a mammogram based on her risk factors.
Introduction. Identification of women with an increased risk of breast cancer is of high importance, because they may benefit from modified screening and diagnosis protocols (, 1).Current clinical standards for breast cancer risk estimation, the Gail (, 2) and Claus (, 3) statistical models, are used to predict the absolute risk of breast cancer over a defined age interval on the basis of Cited by: Breast density is nearly as important as age in determining a woman's risk of developing breast cancer, according to a new model developed by scientists from Group Health Cooperative's Center for Health Studies and seven other health-care organizations in the Breast Cancer Surveillance Consortium (BCSC).
Mammographic breast density is one of the strongest known risk factors for breast cancer. We present a novel technique for estimating breast density based on 3D T1-weighted Magnetic Resonance Imaging (MRI) and evaluate its performance, including for breast cancer risk prediction, relative to two standard mammographic density-estimation methods. The analyses Cited by: Only percent of breast cancers are due to a genetic cause. That’s why screening for breast cancer is so important. The most significant risk factors for breast cancer includes being female and age. However, increased breast density is a strong .
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As discussed previously, breast density and breast cancer risk consistently show a strong association [2, 3, 4,5] having promoted the development of computational algorithms for. Results. After adjustment for familial breast cancer history, body mass index, history of breast biopsy, and age at first live birth, the odds ratios for breast cancer risk in the highest versus lowest measurement quintiles were (95% CI:) for percent dense area, (95% CI:) for fibroglandular volume, and (95% CI:) for percent fibroglandular by: An automated image analysis tool is being developed for estimation of mammographic breast density, which may be useful for risk estimation or for monitoring breast density change in a.
The percentage of mammographic dense tissue (PD) defined by pixel value threshold is a well-established risk factor for breast cancer. Recently there has been some evidence to suggest that an increased threshold based on visual assessment could improve risk prediction.
It is unknown, however, whether this also applies to volumetric density using digital Cited by: 3. Mean volumetric breast density was a leading independent predictor of case status in the full (p.
The performance of VolparaDensity was validated across multiple mammography vendor platforms, and volumetric breast density measurements were found to be significantly associated with both a genetic determinant of breast density and breast cancer risk (women in the highest quartile, i.e.
top 25%, were 3-fold more likely to develop breast cancer. Breast density is positively linked to the risk of developing breast cancer.
Furthermore, the addition of breast density as an input to breast cancer risk prediction models has been shown to improve their predictive power. Such models are used in the management of women at high risk but could potentially be used to determine screening by: 1.
Breast density, assessed by mammography and expressed as a percentage of the mammogram occupied by radiologically dense tissue (percent mammographic density, or PMD), reflects variations in breast tissue composition and is strongly associated with breast cancer risk .Here, we review the evidence that PMD is a risk factor for breast cancer, histological and Cited by: VIENNA, Austria (PRWEB) Ma The ability of volumetric breast imaging data to reduce subjectivity in density assessment and help improve breast cancer risk prediction models is the focus of numerous abstracts accepted for presentation at the European Congress of Radiology (ECR) meeting, March The study, “Volumetric Breast Density Improves Breast Cancer Risk Prediction,” was presented during the San Antonio Breast Cancer Symposium.
“There is increasing interest in implementing personalized breast cancer screening strategies instead of guidelines based on a woman’s age. Adding a measurement of breast density better predicts women's risk for breast cancer, a study has found.
The study evaluated the association between risk factors and breast cancer diagnosis based. Mammographic breast density has been proven to be a strong factor for cancer risk prediction (WolfeKerlikowskeVachon et al ), with risk estimates 4 to 6 folds greater for women in the highest quartile of density (≥75%) than women with the least dense breasts (Cited by: 8.
Breast density is a measure that compares the amount of fatty tissue to the amount of breast tissue on a mammogram. Research has shown that women with dense breasts can be 6 times more likely to develop breast cancer.
Learn more about breast density. We evaluated the association between volumetric breast density (BD) and risk of advanced cancers after a negative screening episode. A cohort of 16, women aged 49–54 years at their first screening mammography in the Florence screening programme was followed for breast cancer (BC) incidence until the second screening round.
Volumetric BD was Cited by: 2. Parity and mammographic breast density in relation to breast cancer risk: indication of interaction. Eur J Cancer Prev ; Crossref, Medline, Google Scholar; 56 Boyd NF, Lockwood GA, Martin LJ, et al. Mammographic densities and risk of breast cancer among subjects with a family history of this disease.
J Natl Cancer Inst ; 91 Cited by: The risk of breast cancer from high breast density is twice higher than other factors (except when a family history of the disease is present in women aged years).
Whether breast density is. Breast density in quantifying breast cancer risk Date: December 9, Source: University of Malaya Summary: There is a strong connection between breast cancer and the high rate of breast density.
WEDNESDAY, Dec. 2, (HealthDay News) -- Breast density is considered by many an independent risk factor for breast cancer. But new research from Croatia suggests it might not be that critical. As expected, the risk of breast cancer was higher for women with higher breast densities.
Women with 50% or higher breast density on a mammogram were three times more likely to be diagnosed with breast cancer over a year period than women with less than 10% breast density. having dense breasts does appear to increase your risk for breast cancer. but experts don’t agree on whether high breast density alone means you should get extra cancer screening.
Van Engeland S, Snoeren PR, Huisman H, et al. Volumetric breast density estimation from full field digital mammograms. IEEE Trans Med Imaging ; Shepherd JA, Kerlikowske K, Ma L, et al. Volume of mammographic density and risk of breast cancer. Cancer Epidemiol Biomarkers Prev Jul; 20(7)Wanders JO, Holland K, Veldhuis WB, et al.
Volumetric breast density affects performance of digital screening mammography. Breast Cancer Res Treat ; Vachon CM, van Gils CH, Sellers TA, et al. Mammographic density, breast cancer risk and risk prediction.
Breast Cancer Res ; In 1 study, women with a breast density of greater than 75% (assessed on a screening mammogram at least 5 years earlier) had a fold risk of breast cancer compared with women with breast density less than 5%.
20 The consistent association between increased density and cancer risk across time emphasizes the potential for risk prediction Cited by: