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.
By addressing the aims of this proposal, we expect to (1) inform providers and policymakers about how actual breast imaging use corresponds to risk-based targeted use in diverse populations, and (2) guide the evolution of best practices and inform guidelines by estimating harms and benefits of risk-based screening strategies among diverse groups of women.
|Sprague, Brian L; Arao, Robert F; Miglioretti, Diana L et al. (2017) National Performance Benchmarks for Modern Diagnostic Digital Mammography: Update from the Breast Cancer Surveillance Consortium. Radiology 283:59-69|
|Chen, Youdinghuan; Marotti, Jonathan D; Jenson, Erik G et al. (2017) Concordance of DNA methylation profiles between breast core biopsy and surgical excision specimens containing ductal carcinoma in situ (DCIS). Exp Mol Pathol 103:78-83|
|Haas, Jennifer S; Baer, Heather J; Eibensteiner, Katyuska et al. (2017) A Cluster Randomized Trial of a Personalized Multi-Condition Risk Assessment in Primary Care. Am J Prev Med 52:100-105|
|Lam, Diana L; Houssami, Nehmat; Lee, Janie M (2017) Imaging Surveillance After Primary Breast Cancer Treatment. AJR Am J Roentgenol 208:676-686|
|Menes, Tehillah S; Kerlikowske, Karla; Lange, Jane et al. (2017) Subsequent Breast Cancer Risk Following Diagnosis of Atypical Ductal Hyperplasia on Needle Biopsy. JAMA Oncol 3:36-41|
|Dabbous, Firas M; Dolecek, Therese A; Berbaum, Michael L et al. (2017) Impact of a False-Positive Screening Mammogram on Subsequent Screening Behavior and Stage at Breast Cancer Diagnosis. Cancer Epidemiol Biomarkers Prev 26:397-403|
|Engmann, Natalie J; Scott, Christopher G; Jensen, Matthew R et al. (2017) Longitudinal Changes in Volumetric Breast Density with Tamoxifen and Aromatase Inhibitors. Cancer Epidemiol Biomarkers Prev 26:930-937|
|Dabbous, Firas; Dolecek, Therese A; Friedewald, Sarah M et al. (2017) Performance characteristics of digital vs film screen mammography in community practice. Breast J :|
|Ziv, Elad; Tice, Jeffrey A; Sprague, Brian et al. (2017) Using Breast Cancer Risk Associated Polymorphisms to Identify Women for Breast Cancer Chemoprevention. PLoS One 12:e0168601|
|Ahern, Thomas P; Sprague, Brian L; Bissell, Michael C S et al. (2017) Family History of Breast Cancer, Breast Density, and Breast Cancer Risk in a U.S. Breast Cancer Screening Population. Cancer Epidemiol Biomarkers Prev 26:938-944|
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