Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case–control study

[1]  Michael J. Carston,et al.  Texture Features from Mammographic Images and Risk of Breast Cancer , 2009, Cancer Epidemiology Biomarkers & Prevention.

[2]  N. Boyd,et al.  Mammographic density and the risk and detection of breast cancer. , 2007, The New England journal of medicine.

[3]  S. Cummings,et al.  Personalizing Mammography by Breast Density and Other Risk Factors for Breast Cancer: Analysis of Health Benefits and Cost-Effectiveness , 2011, Annals of Internal Medicine.

[4]  L. Tabár,et al.  Effect of Baseline Breast Density on Breast Cancer Incidence, Stage, Mortality, and Screening Parameters: 25-Year Follow-up of a Swedish Mammographic Screening , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[5]  Karla Kerlikowske,et al.  Prospective breast cancer risk prediction model for women undergoing screening mammography. , 2006, Journal of the National Cancer Institute.

[6]  S Greenland,et al.  On the need for the rare disease assumption in case-control studies. , 1982, American journal of epidemiology.

[7]  Maryellen L. Giger,et al.  Computerized Texture Analysis of Mammographic Parenchymal Patterns of Digitized Mammograms1 , 2005 .

[8]  Giuseppe Rescinito,et al.  Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software , 2012, European Radiology.

[9]  Manuela Durando,et al.  A first evaluation of breast radiological density assessment by QUANTRA software as compared to visual classification. , 2012, Breast.

[10]  Karla Kerlikowske,et al.  Using Clinical Factors and Mammographic Breast Density to Estimate Breast Cancer Risk: Development and Validation of a New Predictive Model , 2008, Annals of Internal Medicine.

[11]  Bianca De Stavola,et al.  Mammographic Features and Subsequent Risk of Breast Cancer: A Comparison of Qualitative and Quantitative Evaluations in the Guernsey Prospective Studies , 2005, Cancer Epidemiology Biomarkers & Prevention.

[12]  C. Vachon,et al.  Mammographic density phenotypes and risk of breast cancer: a meta-analysis. , 2014, Journal of the National Cancer Institute.

[13]  Wenda He,et al.  A Review on Automatic Mammographic Density and Parenchymal Segmentation , 2015, International journal of breast cancer.

[14]  S. Cummings,et al.  Mammographic Breast Density and the Gail Model for Breast Cancer Risk Prediction in a Screening Population , 2005, Breast Cancer Research and Treatment.

[15]  L. Liberman,et al.  Breast imaging reporting and data system (BI-RADS). , 2002, Radiologic clinics of North America.

[16]  Karla Kerlikowske,et al.  Novel use of Single X-Ray Absorptiometry for Measuring Breast Density , 2005, Technology in cancer research & treatment.

[17]  EUROSCREENWorking Group,et al.  Summary of the evidence of breast cancer service screening outcomes in Europe and first estimate of the benefit and harm balance sheet , 2012 .

[18]  L. Tabár,et al.  The Tabár classification of mammographic parenchymal patterns. , 1997, European journal of radiology.

[19]  Jingmei Li,et al.  Digital mammographic density and breast cancer risk: a case–control study of six alternative density assessment methods , 2014, Breast Cancer Research.

[20]  Nico Karssemeijer,et al.  Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring , 2016, IEEE Transactions on Medical Imaging.

[21]  V. McCormack,et al.  Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis , 2006, Cancer Epidemiology Biomarkers & Prevention.

[22]  N. Boyd,et al.  Analysis of mammographic density and breast cancer risk from digitized mammograms. , 1998, Radiographics : a review publication of the Radiological Society of North America, Inc.

[23]  I. Gram,et al.  Percentage density, Wolfe's and Tabár's mammographic patterns: agreement and association with risk factors for breast cancer , 2005, Breast Cancer Research.

[24]  M. Nielsen,et al.  Mammographic texture resemblance generalizes as an independent risk factor for breast cancer , 2014, Breast Cancer Research.

[25]  S. Duffy,et al.  Mammographic parenchymal patterns and risk of breast cancer at and after a prevalence screen in Singaporean women. , 2000, International journal of epidemiology.

[26]  Jinbo Chen,et al.  Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density. , 2006, Journal of the National Cancer Institute.

[27]  G. Colditz,et al.  Mammographic Breast Density and Subsequent Risk of Breast Cancer in Postmenopausal Women According to the Time Since the Mammogram , 2013, Cancer Epidemiology, Biomarkers & Prevention.

[28]  I. Vejborg,et al.  Balancing sensitivity and specificity: sixteen year's of experience from the mammography screening programme in Copenhagen, Denmark. , 2011, Cancer epidemiology.

[29]  E. Conant,et al.  Breast cancer screening in an era of personalized regimens: A conceptual model and National Cancer Institute initiative for risk‐based and preference‐based approaches at a population level , 2014, Cancer.

[30]  M A Astrahan,et al.  The detection of changes in mammographic densities. , 1998, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[31]  J. Wolfe.  Breast patterns as an index of risk for developing breast cancer. , 1976, AJR. American journal of roentgenology.

[32]  Rn Marijke Vroomen Durning.  Breast Density Notification Laws by State — Interactive Map , 2017 .

[33]  T. Sellers,et al.  Mammographic density, breast cancer risk and risk prediction , 2007, Breast Cancer Research.

[34]  Pengfei Diao,et al.  Inter-observer agreement according to three methods of evaluating mammographic density and parenchymal pattern in a case control study: impact on relative risk of breast cancer , 2015, BMC Cancer.

[35]  Nico Karssemeijer,et al.  Robust breast composition measurement - Volpara™ , 2010 .

[36]  N Houssami,et al.  Differences in breast density assessment using mammography, tomosynthesis and MRI and their implications for practice. , 2013, The British journal of radiology.

[37]  S. Duffy,et al.  Mammographic parenchymal patterns and mode of detection: implications for the breast screening programme , 1998, Journal of medical screening.

[38]  N. Boyd,et al.  Mammographic density and breast cancer risk: current understanding and future prospects , 2011, Breast Cancer Research.

[39]  M. McEntee,et al.  Measurement of breast density with digital breast tomosynthesis--a systematic review. , 2014, The British journal of radiology.

[40]  B. Geller,et al.  A prospective study of breast cancer risk using routine mammographic breast density measurements. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[41]  Nico Karssemeijer,et al.  Robust Breast Composition Measurement - VolparaTM , 2010, Digital Mammography / IWDM.

[42]  Sabee Molloi,et al.  Quantification of breast density with spectral mammography based on a scanned multi-slit photon-counting detector: a feasibility study , 2012, Physics in medicine and biology.

[43]  Elsebeth Lynge,et al.  Breast cancer mortality in Copenhagen after introduction of mammography screening: cohort study , 2005, BMJ : British Medical Journal.

[44]  J. Otten,et al.  Mammographic breast density and risk of breast cancer: Masking bias or causality? , 1998, European Journal of Epidemiology.

[45]  J. Ferlay,et al.  Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. , 2013, European journal of cancer.

[46]  R. Jong,et al.  Breast Cancer: The Art and Science of Early Detection with Mammography , 2006 .

[47]  M. Lux,et al.  Characterizing mammographic images by using generic texture features , 2012, Breast Cancer Research.

[48]  Radhakrishna Selvi,et al.  BI-RADS for Mammography , 2015 .

[49]  D. Altman,et al.  The benefits and harms of breast cancer screening: an independent review , 2012, British Journal of Cancer.

[50]  M. Nielsen,et al.  A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer. , 2011, Cancer epidemiology.

[51]  C. Vachon,et al.  Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer. , 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[52]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[53]  Anna Chiarelli,et al.  Body Size, Mammographic Density, and Breast Cancer Risk , 2006, Cancer Epidemiology Biomarkers & Prevention.

[54]  T. Sellers,et al.  A novel automated mammographic density measure and breast cancer risk. , 2012, Journal of the National Cancer Institute.

[55]  Stephen W Duffy,et al.  A breast cancer prediction model incorporating familial and personal risk factors , 2004, Hereditary Cancer in Clinical Practice.

[56]  Maryellen L. Giger,et al.  Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms , 2004, CARS.

[57]  N. Duric,et al.  Volumetric breast density evaluation from ultrasound tomography images. , 2008, Medical physics.