The program theme is to identify effective breast cancer screening strategies for women with diverse levels of breast cancer risk to maximize screening benefits while minimizing potential harms. Program aims follow the premise that breast cancer screening will be most effective when: guidelines are based on accurate risk estimates that are tied to the effectiveness and harms of screening tests;women and physicians are informed about screening test performance based on risk level;risk-based screening practices are equitable;and high-quality comparative effectiveness research results are disseminated into community practice. Program goals will be met through three complementary research projects and three shared resource cores. Project 1, Risk Assessment in Community Practice: Developing Better Models, will improve prediction of breast cancer and breast cancer subtypes among women of varying ages and race/ethnicity and evaluate whether predicted risk can be used to optimize screening outcomes. Project 2, Comparative Effectiveness of Imaging Strategies for Breast Cancer Screening in Community Practice, will characterize the performance of advanced imaging technologies and screening strategies according to age, race/ethnicity, breast density, and overall breast cancer risk. Project 3, Community-based Utilization of Breast Imaging Technologies, will assess risk-based screening in diverse populations and identify disparities in access and use of new technologies. The Administrative Core will support logistical requirements and facilitate communication and data sharing. The Biostatistics and Data Management Core will coordinate data collection, management, and analysis and will develop statistical methods. The Comparative Effectiveness Core will use simulation modeling to estimate long-term implications of different screening practices on population health. The program represents an integrated effort to improve screening with the overall aim of averting deaths from breast cancer while minimizing harms.
The Biostatistics and Data Management Core will collect, manage, and analyze data for the projects. Data from eight breast imaging registries will be combined into common datasets that will be analyzed at a central Statistical Coordinating Center and accessible to all projects. Core staff will work closely with program investigators to ensure high-quality, efficient research practices.
|Lee, Janie M; Abraham, Linn; Lam, Diana L et al. (2018) Cumulative Risk Distribution for Interval Invasive Second Breast Cancers After Negative Surveillance Mammography. J Clin Oncol 36:2070-2077|
|van den Broek, Jeroen J; van Ravesteyn, Nicolien T; Mandelblatt, Jeanne S et al. (2018) Comparing CISNET Breast Cancer Models Using the Maximum Clinical Incidence Reduction Methodology. Med Decis Making 38:112S-125S|
|Puvanesarajah, Samantha; Nyante, Sarah J; Kuzmiak, Cherie M et al. (2018) PAM50 and Risk of Recurrence Scores for Interval Breast Cancers. Cancer Prev Res (Phila) 11:327-336|
|Mandelblatt, Jeanne S; Near, Aimee M; Miglioretti, Diana L et al. (2018) Common Model Inputs Used in CISNET Collaborative Breast Cancer Modeling. Med Decis Making 38:9S-23S|
|Dabbous, Firas; Dolecek, Therese A; Friedewald, Sarah M et al. (2018) Performance characteristics of digital vs film screen mammography in community practice. Breast J 24:369-372|
|Alagoz, Oguzhan; Ergun, Mehmet Ali; Cevik, Mucahit et al. (2018) The University of Wisconsin Breast Cancer Epidemiology Simulation Model: An Update. Med Decis Making 38:99S-111S|
|Rice, Megan S; Tamimi, Rulla M; Bertrand, Kimberly A et al. (2018) Does mammographic density mediate risk factor associations with breast cancer? An analysis by tumor characteristics. Breast Cancer Res Treat 170:129-141|
|Ray, Kimberly M; Kerlikowske, Karla; Lobach, Iryna V et al. (2018) Effect of Background Parenchymal Enhancement on Breast MR Imaging Interpretive Performance in Community-based Practices. Radiology 286:822-829|
|He, Xiaofei; Schifferdecker, Karen E; Ozanne, Elissa M et al. (2018) How Do Women View Risk-Based Mammography Screening? A Qualitative Study. J Gen Intern Med 33:1905-1912|
|Onega, T; Zhu, W; Weiss, J E et al. (2018) Preoperative breast MRI and mortality in older women with breast cancer. Breast Cancer Res Treat 170:149-157|
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