keyword
MENU ▼
Read by QxMD icon Read
search

mammographic density

keyword
https://www.readbyqxmd.com/read/29346471/use-of-single-nucleotide-polymorphisms-and-mammographic-density-plus-classic-risk-factors-for-breast-cancer-risk-prediction
#1
Elke M van Veen, Adam R Brentnall, Helen Byers, Elaine F Harkness, Susan M Astley, Sarah Sampson, Anthony Howell, William G Newman, Jack Cuzick, D Gareth R Evans
Importance: Single-nucleotide polymorphisms (SNPs) have demonstrated an association with breast cancer susceptibility, but there is limited evidence on how to incorporate them into current breast cancer risk prediction models. Objective: To determine whether a panel of 18 SNPs (SNP18) may be used to predict breast cancer in combination with classic risk factors and mammographic density. Design, Setting, and Participants: This cohort study enrolled a subcohort of 9363 women, aged 46 to 73 years, without a previous breast cancer diagnosis from the larger prospective cohort of the PROCAS study (Predicting Risk of Cancer at Screening) specifically to evaluate breast cancer risk-assessment methods...
January 18, 2018: JAMA Oncology
https://www.readbyqxmd.com/read/29343988/does-breast-density-measured-through-population-based-screening-independently-increase-breast-cancer-risk-in-asian-females
#2
Boyoung Park, Hye Mi Cho, Eun Hye Lee, Seunghoon Song, Mina Suh, Kui Son Choi, Bong Joo Kang, Kyungran Ko, Ann Yi, Hae Kyoung Jung, Joo Hee Cha, Jae Kwan Jun
Purpose: The purpose of this study was to investigate the effects of breast density on breast cancer risk among women screened via a nationwide mammographic screening program. Patients and methods: We conducted a nested case-control study for a randomly selected population of 1,561 breast cancer patients and 6,002 matched controls from the National Cancer Screening Program. Breast density was measured and recorded by two independent radiologists using the Breast Imaging Reporting and Data System (BI-RADS)...
2018: Clinical Epidemiology
https://www.readbyqxmd.com/read/29340883/associations-of-coffee-consumption-and-caffeine-intake-with-mammographic-breast-density
#3
Lusine Yaghjyan, Graham Colditz, Bernard Rosner, Aleksandra Gasparova, Rulla M Tamimi
PURPOSE: Previous studies suggest that coffee and caffeine intake may be associated with reduced breast cancer risk. We investigated the association of coffee and caffeine intake with mammographic breast density by woman's menopausal status and, in postmenopausal women, by hormone therapy (HT). METHODS: This study included 4130 cancer-free women within the Nurses' Health Study and Nurses' Health Study II cohorts. Percent breast density (PD) was measured from digitized film mammograms using a computer-assisted thresholding technique and square root-transformed for the analysis...
January 17, 2018: Breast Cancer Research and Treatment
https://www.readbyqxmd.com/read/29334616/preoperative-breast-magnetic-resonance-imaging-use-by-breast-density-and-family-history-of-breast-cancer
#4
Louise M Henderson, Rebecca A Hubbard, Weiwei Zhu, Julie Weiss, Karen J Wernli, Martha E Goodrich, Karla Kerlikowske, Wendy DeMartini, Elissa M Ozanne, Tracy Onega
BACKGROUND: Use of preoperative breast magnetic resonance imaging (MRI) among women with a new breast cancer has increased over the past decade. MRI use is more frequent in younger women and those with lobular carcinoma, but associations with breast density and family history of breast cancer are unknown. MATERIALS AND METHODS: Data for 3075 women ages >65 years with stage 0-III breast cancer who underwent breast conserving surgery or mastectomy from 2005 to 2010 in the Breast Cancer Surveillance Consortium were linked to administrative claims data to assess associations of preoperative MRI use with mammographic breast density and first-degree family history of breast cancer...
January 15, 2018: Journal of Women's Health
https://www.readbyqxmd.com/read/29330698/circulating-hormones-and-mammographic-density-in-premenopausal-women
#5
Kimberly A Bertrand, A Heather Eliassen, Susan E Hankinson, Bernard A Rosner, Rulla M Tamimi
Prior research suggests that several endogenous hormones in premenopausal women are associated with breast cancer risk; however, few studies have evaluated associations of endogenous hormones with mammographic density (MD) in premenopausal women. We conducted a cross-sectional study of plasma hormone levels in relation to MD among 634 cancer-free premenopausal women in the Nurses' Health Study II. We measured percent MD from screening mammograms using a computer-assisted method. We assayed estradiol, estrone, and estrone sulfate in blood samples timed in early follicular and mid-luteal phases of the menstrual cycle as well as testosterone, androstenedione, progesterone, dehydroepiandrosterone (DHEA), DHEA sulfate, sex hormone-binding globulin (SHBG), and anti-Müllerian hormone in luteal or untimed samples...
January 12, 2018: Hormones & Cancer
https://www.readbyqxmd.com/read/29322118/mr-imaging-features-of-tubular-carcinoma-preliminary-experience-in-twelve-masses
#6
Ravza Yılmaz, Zuhal Bayramoğlu, Selman Emirikçi, Semen Önder, Artur Salmaslıoğlu, Memduh Dursun, Gülden Acunaş, Vahit Özmen
Objective: We retrospectively analyzed the magnetic resonance (MR) imaging features and diffusion-weighted imaging findings of the 12 masses of 10 patients with tubular carcinoma (TC), including mammography and sonography findings. Materials and Methods: Mammographic, sonographic and magnetic resonance imaging features in 12 histopathologically confirmed masses diagnosed as TC of the breast within 10 patients were evaluated. Morphologic characteristics, enhancement features, apparent diffusion coefficient (ADC) values were reviewed...
January 2018: European Journal of Breast Health
https://www.readbyqxmd.com/read/29301538/hair-product-use-age-at-menarche-and-mammographic-breast-density-in-multiethnic-urban-women
#7
Jasmine A McDonald, Parisa Tehranifar, Julie D Flom, Mary Beth Terry, Tamarra James-Todd
BACKGROUND: Select hair products contain endocrine disrupting chemicals (EDCs) that may affect breast cancer risk. We hypothesize that, if EDCs are related to breast cancer risk, then they may also affect two important breast cancer risk factors: age at menarche and mammographic breast density. METHODS: In two urban female cohorts (N = 248): 1) the New York site of the National Collaborative Perinatal Project and 2) the New York City Multiethnic Breast Cancer Project, we measured childhood and adult use of hair oils, lotions, leave-in conditioners, root stimulators, perms/relaxers, and hair dyes using the same validated questionnaire...
January 4, 2018: Environmental Health: a Global Access Science Source
https://www.readbyqxmd.com/read/29278142/a-stratification-approach-using-logit-based-models-for-confounder-adjustment-in-the-study-of-continuous-outcomes
#8
Chuen Seng Tan, Nathalie C Støer, Ying Chen, Marielle Andersson, Yilin Ning, Hwee-Lin Wee, Eric Yin Hao Khoo, E-Shyong Tai, Shih Ling Kao, Marie Reilly
The control of confounding is an area of extensive epidemiological research, especially in the field of causal inference for observational studies. Matched cohort and case-control study designs are commonly implemented to control for confounding effects without specifying the functional form of the relationship between the outcome and confounders. This paper extends the commonly used regression models in matched designs for binary and survival outcomes (i.e. conditional logistic and stratified Cox proportional hazards) to studies of continuous outcomes through a novel interpretation and application of logit-based regression models from the econometrics and marketing research literature...
January 1, 2017: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/29273225/breast-density-why-all-the-fuss
#9
REVIEW
S J Vinnicombe
The term "breast density" or mammographic density (MD) denotes those components of breast parenchyma visualised at mammography that are denser than adipose tissue. MD is composed of a mixture of epithelial and stromal components, notably collagen, in variable proportions. MD is most commonly assessed in clinical practice with the time-honoured method of visual estimation of area-based percent density (PMD) on a mammogram, with categorisation into quartiles. The computerised semi-automated thresholding method, Cumulus, also yielding area-based percent density, is widely used for research purposes; however, the advent of fully automated volumetric methods developed as a consequence of the widespread use of digital mammography (DM) and yielding both absolute and percent dense volumes, has resulted in an explosion of interest in MD recently...
December 19, 2017: Clinical Radiology
https://www.readbyqxmd.com/read/29273223/personalised-screening-is-this-the-way-forward
#10
REVIEW
F J Gilbert, A Selamoglu
Screening with mammography has been implemented in many countries across the world with most offering 2-yearly examinations between the ages of 50-69 years. Robust modelling tools that include breast density and single nucleotide polymorphisms (SNPs) have been developed to predict which women are most likely to develop breast cancer. Mammographic sensitivity is poor in women with the densest category of breast tissue, and even women with heterogeneously dense tissue may benefit from additional supplemental imaging...
December 19, 2017: Clinical Radiology
https://www.readbyqxmd.com/read/29258587/association-between-mammographic-breast-density-and-histologic-features-of-benign-breast-disease
#11
Karthik Ghosh, Robert A Vierkant, Ryan D Frank, Stacey Winham, Daniel W Visscher, Vernon S Pankratz, Christopher G Scott, Kathleen Brandt, Mark E Sherman, Derek C Radisky, Marlene H Frost, Lynn C Hartmann, Amy C Degnim, Celine M Vachon
BACKGROUND: Over 40% of women undergoing breast screening have mammographically dense breasts. Elevated mammographic breast density (MBD) is an established breast cancer risk factor and is known to mask tumors within the dense tissue. However, the association of MBD with high risk benign breast disease (BBD) is unknown. METHOD: We analyzed data for 3400 women diagnosed with pathologically confirmed BBD in the Mayo Clinic BBD cohort from 1985-2001, with a clinical MBD measure (either parenchymal pattern (PP) or Breast Imaging Reporting and Data Systems (BI-RADS) density) and expert pathology review...
December 19, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/29249352/quantitative-breast-density-analysis-using-tomosynthesis-and-comparison-with-mri-and-digital-mammography
#12
Woo Kyung Moon, Jie-Fan Chang, Chung-Ming Lo, Jung Min Chang, Su Hyun Lee, Sung Ui Shin, Chiun-Sheng Huang, Ruey-Feng Chang
BACKGROUND AND OBJECTIVE: Breast density at mammography has been used as markers of breast cancer risk. However, newly introduced tomosynthesis and computer-aided quantitative method could provide more reliable breast density evaluation. METHODS: In the experiment, 98 tomosynthesis image volumes were obtained from 98 women. For each case, an automatic skin removal was used and followed by a fuzzy c-mean (FCM) classifier which separated the fibroglandular tissues from other tissues in breast area...
February 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29246131/mammographic-density-and-risk-of-breast-cancer-by-tumor-characteristics-a-case-control-study
#13
Kavitha Krishnan, Laura Baglietto, Jennifer Stone, Catriona McLean, Melissa C Southey, Dallas R English, Graham G Giles, John L Hopper
BACKGROUND: In a previous paper, we had assumed that the risk of screen-detected breast cancer mostly reflects inherent risk, and the risk of whether a breast cancer is interval versus screen-detected mostly reflects risk of masking. We found that inherent risk was predicted by body mass index (BMI) and dense area (DA) or percent dense area (PDA), but not by non-dense area (NDA). Masking, however, was best predicted by PDA but not BMI. In this study, we aimed to investigate if these associations vary by tumor characteristics and mode of detection...
December 16, 2017: BMC Cancer
https://www.readbyqxmd.com/read/29239858/prediction-of-breast-cancer-risk-using-a-machine-learning-approach-embedded-with-a-locality-preserving-projection-algorithm
#14
Morteza Heidari, Abolfazl Zargari Khuzani, Alan B Hollingsworth, Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Yuchen Qiu, Hong Liu, Bin Zheng
In order to automatically identify a set of effective mammographic image features and build an optimal breast cancer risk stratification model, this study aims to investigate advantages of applying a machine learning approach embedded with a locally preserving projection (LPP) based feature combination and regeneration algorithm to predict short-term breast cancer risk. A dataset involving negative mammograms acquired from 500 women was assembled. This dataset was divided into two age-matched classes of 250 high risk cases in which cancer was detected in the next subsequent mammography screening and 250 low risk cases, which remained negative...
December 14, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29226849/assessment-of-global-and-local-region-based-bilateral-mammographic-feature-asymmetry-to-predict-short-term-breast-cancer-risk
#15
Yane Li, Ming Fan, Hu Cheng, Peng Zhang, Bin Zheng, Lihua Li
This study aims to develop and test a new imaging marker-based short-term breast cancer risk prediction model. An age-matched dataset of 566 screening mammography cases was used. All "prior" images acquired in the two screening series were negative, while in the "current" screening images, 283 cases were positive for cancer and 283 cases remained negative. For each case, two bilateral cranio-caudal view mammograms acquired from the "prior" negative screenings were selected and processed by a computer-aided image processing scheme, which segmented the entire breast area into 9 strip-based local regions, extracted the element regions using difference of Gaussian filters, and computed both global- and local-based bilateral asymmetrical image features...
December 11, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29207971/comparison-of-the-association-of-mammographic-density-and-clinical-factors-with-ductal-carcinoma-in-situ-versus-invasive-ductal-breast-cancer-in-korean-women
#16
Hyeonyoung Ko, Jinyoung Shin, Jeong Eon Lee, Seok Jin Nam, Tuong Linh Nguyen, John Llewelyn Hopper, Yun-Mi Song
BACKGROUND: In spite of the increasing incidence of in situ breast cancer, the information about the risk factors of in situ breast cancer (DCIS) is scarce as compared to the information available for invasive ductal breast cancer (IDC), with inconsistent findings regarding the difference in risk factors between DCIS and IDC. METHODS: We enrolled 472 women with IDC and 90 women with DCIS and 1088 controls matching for age and menopausal status. Information on risk factors was collected through self-administered questionnaire...
December 5, 2017: BMC Cancer
https://www.readbyqxmd.com/read/29205822/routine-reporting-of-mammographic-density-from-screening-mammograms
#17
Gelareh Farshid
No abstract text is available yet for this article.
December 2017: ANZ Journal of Surgery
https://www.readbyqxmd.com/read/29193600/mammographic-density-and-other-risk-factors-for-breast-cancer-among-women-in-china
#18
Tong Li, Lichen Tang, Ziba Gandomkar, Rob Heard, Claudia Mello-Thoms, Zhimin Shao, Patrick Brennan
No abstract text is available yet for this article.
November 29, 2017: Breast Journal
https://www.readbyqxmd.com/read/29190506/mammographic-density-and-breast-cancer-risk-in-breast-screening-assessment-cases-and-women-with-a-family-history-of-breast-cancer
#19
Stephen W Duffy, Oliver W E Morrish, Prue C Allgood, Richard Black, Maureen G C Gillan, Paula Willsher, Julie Cooke, Karen A Duncan, Michael J Michell, Hilary M Dobson, Roberta Maroni, Yit Y Lim, Hema N Purushothaman, Tamara Suaris, Susan M Astley, Kenneth C Young, Lorraine Tucker, Fiona J Gilbert
BACKGROUND: Mammographic density has been shown to be a strong independent predictor of breast cancer and a causative factor in reducing the sensitivity of mammography. There remain questions as to the use of mammographic density information in the context of screening and risk management, and of the association with cancer in populations known to be at increased risk of breast cancer. AIM: To assess the association of breast density with presence of cancer by measuring mammographic density visually as a percentage, and with two automated volumetric methods, Quantra™ and VolparaDensity™...
January 2018: European Journal of Cancer
https://www.readbyqxmd.com/read/29182397/breast-tissue-density-change-after-oophorectomy-in-brca-mutation-carrier-patients-using-visual-volumetric-analysis
#20
Augustin Lecler, Ariane Dunant, Suzette Delaloge, Delphine Wehrer, Tania Moussa, Olivier Caron, Corinne Balleyguier
OBJECTIVE: BRCA1/2 mutations account for 30-50% of hereditary breast cancers and bilateral oophorectomy is associated with a reduced risk of breast cancer (BC) in these patients. Breast density is a well-established BC risk factor and is also associated with increased risk in BRCA carriers. The aim of the study was to evaluate the impact of oophorectomy on mammographic breast density and to assess which method of breast density assessment is more sensitive to change over time. METHODS: Retrospective study of 50 BRCA1/2 patients who underwent bilateral oophorectomy and had at least a baseline and post-surgery mammogram...
November 28, 2017: British Journal of Radiology
keyword
keyword
75014
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"