Field cancerization in the understanding of parenchymal analysis of mammograms for breast cancer risk assessment.

[1]  D. Slaughter,et al.  “Field cancerization” in oral stratified squamous epithelium. Clinical implications of multicentric origin , 1953, Cancer.

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

[3]  P. C. Johns,et al.  X-ray characterisation of normal and neoplastic breast tissues. , 1987, Physics in medicine and biology.

[4]  Michael Brady,et al.  Mammographic Image Analysis , 1999, Computational Imaging and Vision.

[5]  M. Poletti,et al.  X-ray scattering from human breast tissues and breast-equivalent materials. , 2002, Physics in medicine and biology.

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

[7]  Robert E. Brown,et al.  Field effect in cancer-an update. , 2009, Annals of clinical and laboratory science.

[8]  A. Ribeiro-Silva,et al.  Determination of Ca, Fe, Cu and Zn and their correlations in breast cancer and normal adjacent tissues , 2009 .

[9]  V. Backman,et al.  Partial-wave microscopic spectroscopy detects subwavelength refractive index fluctuations: an application to cancer diagnosis. , 2009, Optics letters.

[10]  C. Heaphy,et al.  Mammary field cancerization: molecular evidence and clinical importance , 2009, Breast Cancer Research and Treatment.

[11]  R. Jain,et al.  Micro-Environmental Mechanical Stress Controls Tumor Spheroid Size and Morphology by Suppressing Proliferation and Inducing Apoptosis in Cancer Cells , 2009, PloS one.

[12]  D. Dreossi,et al.  Measurement of the linear attenuation coefficients of breast tissues by synchrotron radiation computed tomography , 2010, Physics in medicine and biology.

[13]  M. Ferrari,et al.  What does physics have to do with cancer? , 2011, Nature Reviews Cancer.

[14]  Kimberly S. Butler,et al.  Markers of fibrosis and epithelial to mesenchymal transition demonstrate field cancerization in histologically normal tissue adjacent to breast tumors , 2011, International journal of cancer.

[15]  N. Joste,et al.  Breast Field Cancerization: Isolation and Comparison of Telomerase-Expressing Cells in Tumor and Tumor Adjacent, Histologically Normal Breast Tissue , 2011, Molecular Cancer Research.

[16]  W. Coleman,et al.  Field cancerization in mammary carcinogenesis - Implications for prevention and treatment of breast cancer. , 2012, Experimental and molecular pathology.

[17]  V. Backman,et al.  Advances in Biophotonics Detection of Field Carcinogenesis for Colon Cancer Risk Stratification , 2013, Journal of Cancer.

[18]  Laura K. Bianchi,et al.  Nanoscale changes in chromatin organization represent the initial steps of tumorigenesis: a transmission electron microscopy study , 2014, BMC Cancer.

[19]  M. Giger,et al.  Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer. , 2013, Annual review of biomedical engineering.

[20]  F. Huber,et al.  Emergent complexity of the cytoskeleton: from single filaments to tissue , 2013, Advances in physics.

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

[22]  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.

[23]  J. Jones,et al.  Stromal characteristics may hold the key to mammographic density: the evidence to date , 2016, Oncotarget.

[24]  E. Conant,et al.  Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment , 2016, Breast Cancer Research.

[25]  C. Gonzalez-Correa,et al.  Could field cancerization be interpreted as a biochemical anomaly amplification due to transformed cells? , 2016, Medical hypotheses.

[26]  V. Backman,et al.  Colocalization of cellular nanostructure using confocal fluorescence and partial wave spectroscopy , 2017, Journal of biophotonics.

[27]  V. Backman,et al.  Correlating colorectal cancer risk with field carcinogenesis progression using partial wave spectroscopic microscopy , 2018, Cancer medicine.

[28]  N. Boyd,et al.  The origins of breast cancer associated with mammographic density: a testable biological hypothesis , 2018, Breast Cancer Research.

[29]  Erik Fredenberg,et al.  Measurement of breast-tissue x-ray attenuation by spectral imaging: fresh and fixed normal and malignant tissue , 2018, Physics in medicine and biology.

[30]  Murali M. Yallapu,et al.  Optical study of chemotherapy efficiency in cancer treatment via intracellular structural disorder analysis using partial wave spectroscopy , 2017, Journal of biophotonics.

[31]  Xiang Zhou,et al.  Measuring Nanoscale Chromatin Heterogeneity with Partial Wave Spectroscopic Microscopy. , 2018, Methods in molecular biology.

[32]  Johanna O. P. Wanders,et al.  The combined effect of mammographic texture and density on breast cancer risk: a cohort study , 2018, Breast Cancer Research.

[33]  C. Vachon,et al.  Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment. , 2019, Radiology.

[34]  S. Teo,et al.  A novel method of determining breast cancer risk using parenchymal textural analysis of mammography images on an Asian cohort , 2019, Physics in medicine and biology.

[35]  A. Lääperi,et al.  Micro-parenchymal patterns for breast cancer risk assessment , 2019, Biomedical Physics & Engineering Express.

[36]  M. Poletti,et al.  Measurement of the linear attenuation coefficient of breast tissues using polienergetic x-ray for energies from 12 to 50 keV and a silicon dispersive detector , 2020 .