Tumour Size at Detection According to Different Measures of Mammographic Breast Density

Objectives Breast cancer prognosis is better for smaller tumours. Women with high breast density are at higher risk of breast cancer and have larger screen-detected and interval cancers in mammographic screening programmes. We assess which continuous measures of breast density are the strongest predictors of breast tumour size at detection and therefore the best measures to identify women who might benefit from more intensive mammographic screening or alternative screening strategies. Setting and methods We compared the association between breast density and tumour size for 1007 screen-detected and 341 interval cancers diagnosed in an Australian mammographic screening programme between 1994 and 1996, for three semi-automated continuous measures of breast density: per cent density, dense area and dense area adjusted for non-dense area. Results After adjustment for age, hormone therapy use, family history of breast cancer and mode of detection (screen-detected or interval cancers), all measures of breast density shared a similar positive and significant association with tumour size. For example, tumours increased in size with dense area from an estimated mean 2.2 mm larger in the second quintile (β = 2.2; 95% Cl 0.4–3.9, P < 0.001) to mean 6.6 mm larger in the highest decile of dense area (β = 6.6; 95% Cl 4.4–8.9, P < 0.001), when compared with first quintile of breast density. Conclusions Of the breast density measures assessed, either dense area or per cent density are suitable measures for identifying women who might benefit from more intensive mammographic screening or alternative screening strategies.

[1]  J. Wolfe,et al.  Mammographic parenchymal patterns and quantitative evaluation of mammographic densities: a case-control study. , 1987, AJR. American journal of roentgenology.

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

[3]  V. Shane Pankratz,et al.  Mammographic Breast Density as a General Marker of Breast Cancer Risk , 2007, Cancer Epidemiology Biomarkers & Prevention.

[4]  L. Kolonel,et al.  Mammographic density and breast cancer risk: the multiethnic cohort study. , 2005, American journal of epidemiology.

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

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

[7]  G. Farshid,et al.  Detection by screening mammography is a powerful independent predictor of survival in women diagnosed with breast cancer. , 2004, Breast.

[8]  S. Duffy,et al.  Size, node status and grade of breast tumours: association with mammographic parenchymal patterns , 2000, European Radiology.

[9]  Mark A Helvie,et al.  Invasive cancers detected after breast cancer screening yielded a negative result: relationship of mammographic density to tumor prognostic factors. , 2004, Radiology.

[10]  C A Kelsey,et al.  Effects of age, breast density, ethnicity, and estrogen replacement therapy on screening mammographic sensitivity and cancer stage at diagnosis: review of 183,134 screening mammograms in Albuquerque, New Mexico. , 1998, Radiology.

[11]  A. Morrison,et al.  Diet, mammographic features of breast tissue, and breast cancer risk. , 1989, American journal of epidemiology.

[12]  Anne M Kavanagh,et al.  Using Mammographic Density to Improve Breast Cancer Screening Outcomes , 2008, Cancer Epidemiology Biomarkers & Prevention.

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

[14]  Martin J. Yaffe,et al.  Influence of Patterns of Hormone Replacement Therapy Use and Mammographic Density on Breast Cancer Detection , 2006, Cancer Epidemiology Biomarkers & Prevention.

[15]  D. Miglioretti,et al.  Individual and Combined Effects of Age, Breast Density, and Hormone Replacement Therapy Use on the Accuracy of Screening Mammography , 2003, Annals of Internal Medicine.

[16]  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.

[17]  K. Kerlikowske,et al.  Effect of age, breast density, and family history on the sensitivity of first screening mammography. , 1996, JAMA.

[18]  Jean B. Cormack,et al.  Diagnostic accuracy of digital versus film mammography: exploratory analysis of selected population subgroups in DMIST. , 2008, Radiology.

[19]  Michael J. Carston,et al.  An Automated Approach for Estimation of Breast Density , 2008, Cancer Epidemiology Biomarkers & Prevention.

[20]  Martin J Yaffe,et al.  What should the burden of proof be for acceptance of a new breast-cancer screening technique? , 2004, The Lancet.

[21]  Caroline Diorio,et al.  Wolfe's parenchymal pattern and percentage of the breast with mammographic densities: redundant or complementary classifications? , 2003, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[22]  N. Boyd,et al.  The quantitative analysis of mammographic densities. , 1994, Physics in medicine and biology.

[23]  Dev P. Chakraborty,et al.  Breast tissue density quantification via digitized mammograms , 2001, IEEE Transactions on Medical Imaging.

[24]  J. Coebergh,et al.  An overview of prognostic factors for long-term survivors of breast cancer , 2007, Breast Cancer Research and Treatment.

[25]  J. Stines,et al.  The normal breast and its variations in mammography. , 2005, European journal of radiology.

[26]  Robert Marti,et al.  A Comparison of Breast Tissue Classification Techniques , 2006, MICCAI.

[27]  Emily White,et al.  Association between Mammographic Breast Density and Breast Cancer Tumor Characteristics , 2005, Cancer Epidemiology Biomarkers & Prevention.

[28]  Richard J. K. Taylor,et al.  Is age at diagnosis an independent prognostic factor for survival following breast cancer? , 2005, ANZ journal of surgery.

[29]  D. Yamamoto,et al.  Retracted Article: Prognostic Factors in Breast Cancer: The Value of the Nottingham Prognostic Index for Patients Treated in a Single Institution , 2005, Surgery Today.

[30]  P. Porter,et al.  Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. , 2000, Journal of the National Cancer Institute.

[31]  Z. Hall Cancer , 1906, The Hospital.

[32]  E. Fishell,et al.  Radio-free America: what to do with the waste. , 1994, Environmental health perspectives.

[33]  Kevin Hughes,et al.  Predicting the survival of patients with breast carcinoma using tumor size , 2002, Cancer.

[34]  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.

[35]  A. Kavanagh,et al.  Monitoring interval cancers in an Australian mammographic screening programme , 1999, Journal of medical screening.