A comparison of various methods for measuring breast density and breast tissue composition in adolescent girls and women

[1]  Hussein M. K. Al-Masri,et al.  Indian management research , 1983, The Political Economy of Participatory Economics.

[2]  Vanessa Y De La Rosa,et al.  Environmental exposures during windows of susceptibility for breast cancer: a framework for prevention research , 2019, Breast Cancer Research.

[3]  Alexandra M. Binder,et al.  Prepubertal and Pubertal Endocrine-Disrupting Chemical Exposure and Breast Density among Chilean Adolescents , 2018, Cancer Epidemiology, Biomarkers & Prevention.

[4]  Lothar Lilge,et al.  High-performance, robustly verified Monte Carlo simulation with FullMonte , 2018, Journal of biomedical optics.

[5]  L. Moy,et al.  Hormonal Effects on Breast Density, Fibroglandular Tissue, and Background Parenchymal Enhancement. , 2018, Radiographics : a review publication of the Radiological Society of North America, Inc.

[6]  L. Lilge,et al.  Optical assessment of mammographic breast density by a 12‐wavelength vs a continuous‐spectrum optical spectroscopy device , 2018, Journal of biophotonics.

[7]  L. Lilge,et al.  Non-invasive optical spectroscopic monitoring of breast development during puberty , 2017, Breast Cancer Research.

[8]  Hiroyuki Ogura,et al.  Effect of the chest wall on the measurement of hemoglobin concentrations by near-infrared time-resolved spectroscopy in normal breast and cancer , 2016, Breast Cancer.

[9]  Paola Taroni,et al.  Breast Tissue Composition and Its Dependence on Demographic Risk Factors for Breast Cancer: Non-Invasive Assessment by Time Domain Diffuse Optical Spectroscopy , 2015, PloS one.

[10]  Lothar Lilge,et al.  The Association between Breast Tissue Optical Content and Mammographic Density in Pre- and Post-Menopausal Women , 2015, PloS one.

[11]  V. Borges,et al.  Developmental windows of breast cancer risk provide opportunities for targeted chemoprevention , 2013, Experimental cell research.

[12]  R. Cubeddu,et al.  Optical Assessment of Breast Density and its Dependence on Tissue Heterogeneity , 2012 .

[13]  Kevin W Eliceiri,et al.  Postpartum mammary gland involution drives progression of ductal carcinoma in situ through collagen and COX-2 , 2011, Nature Medicine.

[14]  G. Maskarinec,et al.  A comparison of breast density measures between mothers and adolescent daughters , 2011, BMC Cancer.

[15]  G. Maskarinec,et al.  Comparison of breast density measured by dual energy X-ray absorptiometry with mammographic density among adult women in Hawaii. , 2011, Cancer epidemiology.

[16]  Alessandro Torricelli,et al.  Noninvasive assessment of breast cancer risk using time-resolved diffuse optical spectroscopy. , 2010, Journal of biomedical optics.

[17]  A. Rademaker,et al.  A prospective study of variability in mammographic density during the menstrual cycle , 2010, Breast Cancer Research and Treatment.

[18]  R. Uauy,et al.  Accelerated Growth in Early Life and Obesity in Preschool Chilean Children , 2009, Obesity.

[19]  Nirmala Ramanujam,et al.  Quantitative optical spectroscopy: a robust tool for direct measurement of breast cancer vascular oxygenation and total hemoglobin content in vivo. , 2009, Cancer research.

[20]  Serghei Malkov,et al.  Breast Density Assessment in Adolescent Girls Using Dual-Energy X-ray Absorptiometry: A Feasibility Study , 2008, Cancer Epidemiology Biomarkers & Prevention.

[21]  Lothar Lilge,et al.  Association between Transillumination Breast Spectroscopy and Quantitative Mammographic Features of the Breast , 2008, Cancer Epidemiology Biomarkers & Prevention.

[22]  C. Rueden,et al.  Bmc Medicine Collagen Density Promotes Mammary Tumor Initiation and Progression , 2022 .

[23]  Brian W Pogue,et al.  Approximation of Mie scattering parameters in near-infrared tomography of normal breast tissue in vivo. , 2005, Journal of biomedical optics.

[24]  Lothar Lilge,et al.  Non-ionizing near-infrared radiation transillumination spectroscopy for breast tissue density and assessment of breast cancer risk. , 2004, Journal of biomedical optics.

[25]  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.

[26]  Bruce J. Tromberg,et al.  The Role of Diffuse Optical Spectroscopy in the Clinical Management of Breast Cancer , 2004, Disease markers.

[27]  Lothar Lilge,et al.  Classification of breast tissue density by optical transillumination spectroscopy: optical and physiological effects governing predictive value , 2003, Other Conferences.

[28]  Brian W. Pogue,et al.  Interpreting hemoglobin and water concentration, oxygen saturation, and scattering measured in vivo by near-infrared breast tomography , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Keith D. Paulsen,et al.  Validation of hemoglobin and water molar absorption spectra in near-infrared diffuse optical tomography , 2003, SPIE BiOS.

[30]  Norman Boyd,et al.  A longitudinal study of the effects of menopause on mammographic features. , 2002, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[31]  John A Shepherd,et al.  Measurement of breast density with dual X-ray absorptiometry: feasibility. , 2002, Radiology.

[32]  E White,et al.  Variation in mammographic breast density by time in menstrual cycle among women aged 40-49 years. , 1998, Journal of the National Cancer Institute.

[33]  D. Leroith,et al.  Growth hormone treatment induces mammary gland hyperplasia in aging primates , 1997, Nature Medicine.

[34]  J. Wolfe,et al.  Mammographic features and breast cancer risk: effects with time, age, and menopause status. , 1995, Journal of the National Cancer Institute.

[35]  A. Miller,et al.  Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. , 1995, Journal of the National Cancer Institute.

[36]  S Ciatto,et al.  A prospective study of the value of mammographic patterns as indicators of breast cancer risk in a screening experience. , 1993, European journal of radiology.

[37]  J. Affeldt,et al.  The feasibility study , 2019, The Information System Consultant’s Handbook.