Risk for breast cancer development determined by mammographic parenchymal pattern
A classification of risk for developing breast cancer has been devised based solely on the appearance of the breast parenchyma by mammography. Four groups of patients were isolated. The study encompassed a five-year period and was done by reviewing the mammograms of all women over the age of 30 who had been examined at Hutzel Hospital, Detroit. The average time of followup would be approximately 2 1/2 years. Four groups had an incidence of developing breast cancer of 0.1, 0.4, 1.7, and 2.2. These parenchymal patterns are described and criteria for their identification are given.
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Radiological findings of screen-detected cancers in a multi-centre randomized, controlled trial of mammographic screening in women from age 40 to 48 years
Comparison of the effect of raloxifene and continuous-combined hormone therapy on mammographic breast density and breast tenderness in postmenopausal women
The basal and TRH stimulated levels of prolactin in low risk climacteric patients with increased breast density: a matched pair case control trial
The mammographic parenchymal patterns of nulliparous women and women with a family history of breast cancer
Mammographic breast density: Predictive value for pathological response to neoadjuvant chemotherapy in breast cancer patients
A method to estimate the fractional fat volume within a ROI of a breast biopsy for WAXS applications: animal tissue evaluation
Assessment of mammographic density in postmenopausal women during long term hormone replacement therapy
Effects of tibolone and continuous combined hormone replacement therapy on mammographic breast density
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Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment
Effects of Changes in BI-RADS Density Assessment Guidelines (Fourth Versus Fifth Edition) on Breast Density Assessment: Intra- and Interreader Agreements and Density Distribution
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Proliferative disease and atypia in biopsies performed for nonpalpable lesions detected mammographically
Analysis of the diagnostic performance in breast cancer screening by relative operating characteristics
Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad
High-risk mammographic parenchymal patterns, hormone replacement therapy and other risk factors: a case-control study
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The effects of exogenous estrogen replacement therapy of the breast: breast cancer risk and mammographic parenchymal patterns
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Radiological assessment of breast density by visual classification (BI-RADS) compared to automated volumetric digital software (Quantra): implications for clinical practice
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Assessing breast cancer risk within the general screening population: developing a breast cancer risk model to identify higher risk women at mammographic screening.
Changes in Breast Density Reporting Patterns of Radiologists After Publication of the 5th Edition BI-RADS Guidelines: A Single Institution Experience
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Evaluation of Quantra Hologic Volumetric Computerized Breast Density Software in Comparison With Manual Interpretation in a Diverse Population
Collagen Fiber Array of Peritumoral Stroma Influences Epithelial-to-Mesenchymal Transition and Invasive Potential of Mammary Cancer Cells
Measuring breast density: Comparing computer-automated breast density quantification with an observer-based method in a South African academic context
Going Beyond Conventional Mammographic Density to Discover Novel Mammogram-Based Predictors of Breast Cancer Risk
Extracellular Matrix-Mediated Breast Cancer Cells Morphological Alterations, Invasiveness, and Microvesicles/Exosomes Release.
Breast Cancer Risk Associations with Digital Mammographic Density by Pixel Brightness Threshold and Mammographic System
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Prognostic Influence of Preoperative Mammographic Breast Density in Operable Invasive Female Breast Cancer
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The impact of mandatory mammographic breast density notification on supplemental screening practice in the United States: a systematic review.
Breast Cancer Population Attributable Risk Proportions Associated with Body Mass Index and Breast Density by Race/Ethnicity and Menopausal Status.
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms
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